ࡱ> Y, ,+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++,,,,,,,,, , , , , ,,,,,,,,,,,,,,,,,q` U!bjbjqPqP !::/p%&% %&VVV8$W,P]_& zF\4M( |8 @  $i h % A   A A $I Nui ui ui A j'% ui A ui ui bx2  N"`%W Լ `{YVsh v? d2W d H @ &{ h p{ W { %W ui A A A Yi  A A A A A A A &&&0V&&&V&&& ABET Computing Accreditation Commission SELF-STUDY QUESTIONNAIRE FOR REVIEW of the COMPUTER SCIENCE PROGRAM submitted by California State University, NorthridgeInstitution June 30, 2007Date to the Computing Accreditation Commission Primary contact: Steven Stepanek, Department ChairTelephone number: ______________________ FAX number: __________________818-677-3398FAX Number:818-677-7208Electronic mail: sgs@csun.edu ABET Computing Accreditation Commission 111 Market Place, Suite 1050 Baltimore, Maryland 21202-4012 Phone: 410-347-7700 Fax: 410-625-2238 E-mail: cac@abet.org www: http://www.abet.org/ Table of Contents  TOC \f I. Objectives and Assessments  PAGEREF _Toc43366911 \h 4 A. Objectives  PAGEREF _Toc43366912 \h 4 B. Implementation of Objectives  PAGEREF _Toc43366913 \h 9 C. Assessments  PAGEREF _Toc43366914 \h 13 D. Program Improvement  PAGEREF _Toc43366915 \h 24 E. Program Evolution  PAGEREF _Toc43366916 \h 24 F. Program Current Status  PAGEREF _Toc43366917 \h 24 II. Student Support  PAGEREF _Toc43366918 \h 27 A. Frequency of Course Offerings  PAGEREF _Toc43366919 \h 27 B. Interaction with Faculty  PAGEREF _Toc43366920 \h 29 C. Student Guidance  PAGEREF _Toc43366921 \h 30 D. Student Advisement  PAGEREF _Toc43366922 \h 30 E. Access to Qualified Advising  PAGEREF _Toc43366923 \h 31 F. Meeting the Requirements  PAGEREF _Toc43366924 \h 31 III. Faculty  PAGEREF _Toc43366925 \h 33 A. Faculty Size  PAGEREF _Toc43366926 \h 33 B. Faculty with Primary Commitment  PAGEREF _Toc43366927 \h 33 C. Faculty Oversight  PAGEREF _Toc43366928 \h 34 D. Interests, Qualifications, Scholarly Contributions  PAGEREF _Toc43366929 \h 34 E. Scholarly Activities  PAGEREF _Toc43366930 \h 36 F. Support for Advising  PAGEREF _Toc43366931 \h 37 G. Information Regarding Faculty Members  PAGEREF _Toc43366932 \h 37 IV. Curriculum  PAGEREF _Toc43366933 \h 97 A. Title of Degree Program  PAGEREF _Toc43366934 \h 97 B. Credit Hour Definition  PAGEREF _Toc43366935 \h 97 C. Prerequisite Flow Chart  PAGEREF _Toc43366936 \h 97 D. Course Requirements of Curriculum  PAGEREF _Toc43366937 \h 97 E. Course Descriptions  PAGEREF _Toc43366938 \h 107 V. Laboratories and Computing Facilities  PAGEREF _Toc43366939 \h 276 A. Computing Facilities  PAGEREF _Toc43366940 \h 276 B. Student Access  PAGEREF _Toc43366941 \h 281 C. Documentation  PAGEREF _Toc43366942 \h 281 D. Faculty Access  PAGEREF _Toc43366943 \h 282 E. Support Personnel  PAGEREF _Toc43366944 \h 282 F. Instructional Assistance  PAGEREF _Toc43366945 \h 283 VI. Institutional Support and Financial Resources  PAGEREF _Toc43366946 \h 284 A. Faculty Stability  PAGEREF _Toc43366947 \h 284 B. Faculty Professional Activities  PAGEREF _Toc43366948 \h 285 C. Office Support  PAGEREF _Toc43366949 \h 286 D. Time for Administration  PAGEREF _Toc43366950 \h 287 E. Adequacy of Resources  PAGEREF _Toc43366951 \h 287 F. Leadership  PAGEREF _Toc43366952 \h 288 G. Laboratory and Computing Resources  PAGEREF _Toc43366953 \h 288 H. Library Resources  PAGEREF _Toc43366954 \h 288 I. Continuity of Institutional Support  PAGEREF _Toc43366955 \h 289 VII. Institutional Facilities  PAGEREF _Toc43366956 \h 291 A. Library  PAGEREF _Toc43366957 \h 291 B. Classroom Equipment  PAGEREF _Toc43366958 \h 292 C. Faculty Offices  PAGEREF _Toc43366959 \h 293 Appendix I. Information Relative to the Entire Institution  PAGEREF _Toc43366960 \h 294 A. General Information  PAGEREF _Toc43366961 \h 294 B. Type of Control  PAGEREF _Toc43366962 \h 294 C. Regional or Institutional Accreditation  PAGEREF _Toc43366963 \h 294 D. Enrollment  PAGEREF _Toc43366964 \h 295 E. Funding Process  PAGEREF _Toc43366965 \h 295 F. Promotion and Faculty Tenure  PAGEREF _Toc43366966 \h 295 Appendix II. General Information on the Unit Responsible for the Computer Science Program  PAGEREF _Toc43366967 \h 297 A. Computer Science Program Unit  PAGEREF _Toc43366968 \h 297 B. Administrative Head  PAGEREF _Toc43366969 \h 297 C. Organization Chart  PAGEREF _Toc43366970 \h 297 E. Computer-Related Undergraduate Degree Programs  PAGEREF _Toc43366971 \h 300 Appendix III. Finances  PAGEREF _Toc43366972 \h 301 A. Finances Related to the Computer Science Program(s)  PAGEREF _Toc43366973 \h 301 B. Operating and Computing Expenditures  PAGEREF _Toc43366974 \h 302 C. Additional Funding  PAGEREF _Toc43366975 \h 302 Appendix IV. Computer Science Program Personnel  PAGEREF _Toc43366976 \h 303 A. Term of Appointment of Administrative Head  PAGEREF _Toc43366977 \h 303 B. Number of Personnel Associated with Program  PAGEREF _Toc43366978 \h 303 C. Policies  PAGEREF _Toc43366979 \h 303 Appendix V. Computer Science Program Enrollment and Degree Data  PAGEREF _Toc43366980 \h 305 Appendix VI. Admission Requirements  PAGEREF _Toc43366981 \h 307 A. Admission of Students  PAGEREF _Toc43366982 \h 307 Appendix VII. Program Assessment Reports  PAGEREF _Toc43366983 \h 310 A. Program  PAGEREF _Toc43366984 \h 311 Appendix VIII. Support Documents and Forms  PAGEREF _Toc43366985 \h 312 A. Program Extract from 2004-2006 University Catalog  PAGEREF _Toc43366986 \h 313 B. Program Information Diagrams  PAGEREF _Toc43366987 \h 321 C. Senior Elective Packages  PAGEREF _Toc43366988 \h 322 D. Long Range Upper Division Course Schedule  PAGEREF _Toc43366989 \h 323 E. DPR (Degree Progress Report)  PAGEREF _Toc43366990 \h 324 F. Advisement Procedures  PAGEREF _Toc43366991 \h 325 G. Program Requirements Evaluation Form  PAGEREF _Toc43366992 \h 326 H. University Accreditation Letter from WASC  PAGEREF _Toc43366993 \h 328  Introduction The Criteria for Accrediting Computer Science Programs are divided into seven major Categories, each Criterion containing a statement of Intent and Standards. An intent statement provides the underlying principles associated with a Criterion. In order for a program to be accredited, it must meet the intent statement of every Criterion. Standards provide descriptions of how a program can minimally meet the statements of intent. The word must is used within each standard to convey the expectation that the condition of the standard will be satisfied in all cases. For a program to meet the intent of a Criterion, it must either satisfy all the standards associated with that Criterion or demonstrate an alternate approach to achieving the intent of the Criterion. For each of the following seven sections, corresponding to each of the seven Categories of the Criteria, answer all of the questions associated with the standards. If one or more standards are not satisfied, it is incumbent upon the institution to demonstrate and document clearly and unequivocally how the intent is met in some alternate fashion. If you are having more than one program evaluated, particularly if the programs are on separate campuses, the answers to these questions may vary from one program to another. If this is the case, please use separate copies of each section for each program, and clearly delineate which program is being described. I. Objectives and Assessmentstc "I. Objectives and Assessments " \f C \l 1 Intent: The program has documented, measurable objectives, including expected outcomes for graduates. The program regularly assesses its progress against its objectives and used the results of the assessments to identify program improvements and to modify the programs objectives. Standard I-1. The program must have documented, measurable objectives. Standard I-2. The programs objectives must include expected outcomes for graduating students. A. Objectivestc "A. Objectives " \f C \l 2 Please attach items that support or precede the measurable objectives, e.g., Mission statements from institution, college, department, program Plans (institution, college, department, etc.) All objectives including expected outcomes for graduates (itemize) Process for assessments Who is involved in assessment and improvement? Data from assessments Inputs from any supporting Office of Assessment 1. Indicate below or attach to this document the programs measurable objectives. These objectives must include expected outcomes for graduates. Program Educational Objectives: A few years after graduation, graduates of the computer science program will: Be able to apply the principles of computer science, mathematics, and scientific investigation to solve real world problems appropriate to the discipline. Be able to apply current industry accepted computing practices and new and emerging technologies to analyze, design, implement, and verify high quality computer-based solutions to real world problems. Exhibit teamwork and effective communication skills. Be able to ethically and appropriately apply knowledge of societal impacts of computing technologies in the course of career related activities. Be successfully employed or accepted into a graduate program, and demonstrate a pursuit of lifelong learning. Program Outcomes (Student Learning Outcomes): Each of the following Student Learning Outcomes (SLOs) with one of the Program Educational Objectives (PEOs) as indicated in parentheses following the outcome. Graduates of the program will: Demonstrate an understanding of algorithms and data structures. (PEO1) Demonstrate an understanding of computer organization and architecture. (PEO1) Demonstrate an understanding of programming language concepts and knowledge of a variety of programming language paradigms. (PEO1) Demonstrate proficiency in using a high-level computer language. (PEO1) Demonstrate an ability to apply mathematical skills appropriate to the computer science discipline. (PEO1) Demonstrate an awareness of the evolution and dynamic nature of the foundational core of computer science. PEO1) Demonstrate proficiency in collecting, analyzing, and interpreting data. (PEO1) Demonstrate a problem solving ability. (PEO1) Demonstrate an understanding of emerging technologies and a working knowledge of currently available software tools. (PEO2) Demonstrate an understanding of the principles and practices for software design and development. (PEO2) Be able to apply the principles and practices for software design and development to real problems. (PEO2) Be able to effectively communicate orally. (PEO3) Be able to effectively communicate in written form. (PEO3) Be able to work effectively on a team. (PEO3) Demonstrate knowledge of the social impact of computing. (PEO4) Demonstrate an understanding of the professional and ethical considerations of computing. (PEO4) Demonstrate the knowledge and capabilities necessary for pursuing a professional career or graduate studies. (PEO5) Recognize the need for, and show an ability for, continuing professional development. (PEO5)2. Describe how the program's objectives align with your institution's mission. The mission of the University is as follows: California State University, Northridge exists to help students realize their educational goals. The Universitys first priority is to promote the welfare and intellectual progress of students. To fulfill this mission, we design programs and activities to help students develop the academic competencies, professional skills, critical creative abilities, and personal values of learned persons who live in a democratic society, an interdependent world, and a technological age; we seek to foster a rigorous and contemporary understanding of the liberal arts, sciences and professional disciplines, and we believe in the following Values. Values Commitment to Teaching, Scholarship, and Active Learning. We demonstrate excellence in teaching. We honor and reward high performance in learning, teaching, scholarship, research, service, and creative activity. Because the quality of our academic programs is central to our mission, we encourage intellectual curiosity and protect the multiple expressions of academic freedom. Commitment to Excellence. We set the highest standards for ourselves in all of our actions and activities and support the professional development of faculty, staff and administrators. We assess our performance so that every area of University life will be continually improved and renewed. We recognize and reward our efforts of greatest distinction and through them provide state and national leadership. Respect for All People. We aspire to behave as an inclusive, cooperative community. Our behaviors, policies, and programs affirm the worth and personal dignity of every member of the University community and contribute to a campus climate of civility, collegiality, tolerance, and reasoned debate. Alliances with the Community. We seek partnerships with local schools, community colleges, businesses, government and social agencies to advance the educational, intellectual, artistic, civic, cultural and economic aspirations of our surrounding communities. Encouragement of Innovation, Experimentation, and Creativity. We seek to provide an environment conducive to innovation, experimentation, and creativity. We encourage all members of our community to take intellectual and creative risks and to embrace changes that will enhance the fulfillment of the Universitys mission. Vision Commitment to Teaching, Scholarship, and Active Learning. We demonstrate excellence in teaching. We honor and reward high performance in learning, teaching, scholarship, research, service, and creative activity. Because the quality of our academic programs is central to our mission, we encourage intellectual curiosity and protect the multiple expressions of academic freedom. Commitment to Excellence. We set the highest standards for ourselves in all of our actions and activities and support the professional development of faculty, staff and administrators. We assess our performance so that every area of University life will be continually improved and renewed. We recognize and reward our efforts of greatest distinction and through them provide state and national leadership. Respect for All People. We aspire to behave as an inclusive, cooperative community. Our behaviors, policies, and programs affirm the worth and personal dignity of every member of the University community and contribute to a campus climate of civility, collegiality, tolerance, and reasoned debate. Alliances with the Community. We seek partnerships with local schools, community colleges, businesses, government and social agencies to advance the educational, intellectual, artistic, civic, cultural and economic aspirations of our surrounding communities. Encouragement of Innovation, Experimentation, and Creativity. We seek to provide an environment conducive to innovation, experimentation, and creativity. We encourage all members of our community to take intellectual and creative risks and to embrace changes that will enhance the fulfillment of the Universitys mission. The Educational Objectives of the Computer Science Program are designed to help students develop professional skills, to learn problem solving strategies, and to be aware of ethical issues and social concerns. Table I.1 shows the specific alignment of these objectives to the University's mission. Table I.1 Alignment of Educational Objectives with the Mission of the University University Mission Statements Computer Science Program Educational Objectives Realize educational goals PEO5: Be successfully employed or accepted into a graduate program, and demonstrate a pursuit of lifelong learning. Help students develop academic competencies PEO1: Be able to apply the principles of computer science, mathematics, and scientific investigation to solve real world problems appropriate to the discipline. Help students develop professional skills PEO2: Be able to apply current industry accepted computing practices and new and emerging technologies to analyze, design, implement, and verify high quality computer-based solutions to real world problems. Help students develop critical and creative abilities PEO2: Be able to apply current industry accepted computing practices and new and emerging technologies to analyze, design, implement, and verify high quality computer-based solutions to real world problems. Help students develop personal values of learned persons who live in a democratic society, an interdependent world, and a technological age PEO4: Be able to ethically and appropriately apply knowledge of societal impacts of computing technologies in the course of career related activities. Foster a rigorous and contemporary understanding of the liberal arts PEO3: Exhibit teamwork and effective communication skills. PEO4: Be able to ethically and appropriately apply knowledge of societal impacts of computing technologies in the course of career related activities. Foster a rigorous and contemporary understanding of the sciences PEO1: Be able to apply the principles of computer science, mathematics, and scientific investigation to solve real world problems appropriate to the discipline. Foster a rigorous and contemporary understanding of professional disciplines PEO2: Be able to apply current industry accepted computing practices and new and emerging technologies to analyze, design, implement, and verify high quality computer-based solutions to real world problems.  Note: On the following page is a table that can be filled out with pertinent information relating to objectives, their measurement, and their effect on the implementation of program improvements. Implementation of Objectives Please complete the following table with as many objectives as needed.tc "B. Implementation of Objectives " \f C \l 2 Objective (Student Learning Outcome)How measuredWhen measuredImprovements IdentifiedImprovements ImplementedSLO1 Demonstrate an understanding of algorithms and data structures. Direct assessment Core course exams and graded assignments Senior exit and learning outcomes surveys Student course evaluationsF 2005 Each semester Each semester in selected courses Each year There is a need to provide a learning environment to account for a wide range of background knowledge and experience in computing in the introductory courses in the major.A policy has been established to urge students without previous background in computing to enroll in the non required Comp 108 course prior to taking required courses in the program.SLO2 Demonstrate an understanding of computer organization and architecture.Direct assessment Core course exams and graded assignments Senior exit and learning outcomes surveys Student course evaluations F 2006 Each semester Each semester in selected courses Each yearThere is an indication that it might be necessary to improve the retention of computer organization and architecture concepts as students progress through the program.A plan is under development to conduct a more comprehensive assessment of this outcome before any program changes are made.SLO3 Demonstrate an understanding of programming language concepts and knowledge of a variety of programming language paradigms. Direct assessment Core course exams and graded assignments Senior exit and learning outcomes surveys Student course evaluationsF 2006 Each semester Each semester in selected courses Each yearA preliminary assessment has shown that many students nearing graduation are unable to demonstrate a knowledge of a variety of programming languages.A decision to revise the assessment instrument and reassess this outcome was made.SLO4 Demonstrate proficiency in using a high-level computer languageDirect assessment Core course exams and graded assignments Senior exit and learning outcomes surveys Student course evaluationsS 2007 Each semester Each semester in selected courses Each yearAssessment results are currently being analyzed.SLO5 Demonstrate an ability to apply mathematical skills appropriate to the computer science discipline. Informal Assessment Core course exams and graded assignments Senior exit and learning outcomes surveys Student course evaluationsS 2007 Each semester Each semester in selected courses Each yearThe results from this assessment are currently being analyzed.SLO6 Demonstrate an awareness of the evolution and dynamic nature of the foundational core of computer science.Informal Assessment Core course exams and graded assignments Senior exit and learning outcomes surveys Student course evaluationsS 2007 Each semester Each semester in selected courses Each yearThis assessment is currently underway.SLO7 Demonstrate proficiency in collecting, analyzing, and interpreting data.Informal Assessment Core course exams and graded assignments Senior exit and learning outcomes surveys Student course evaluationsS 2007 Each semester Each semester in selected courses Each yearThe results from this assessment are currently being analyzed.SLO8 Demonstrate a problem solving ability.Informal Assessment Core course exams and graded assignments Senior exit and learning outcomes surveys Student course evaluationsS 2007 Each semester Each semester in selected courses Each yearThis assessment is currently underway.SLO9 Demonstrate an understanding of emerging technologies and a working knowledge of currently available software tools. Informal assessment Core course exams and graded assignments Senior exit and learning outcomes surveys Student course evaluationsF 2006 Each semester Each semester in selected courses Each yearThere is a need to identify which emerging technologies and software tools students are expected to understand and know how to use before meaningful assessment can be done.SLO10 Demonstrate an understanding of the principles and practices for software design and development.Direct assessment Core course exams and graded assignments Senior exit and learning outcomes surveys Student course evaluationsF 2005 Each semester Each semester in selected courses Each semesterThe retention and ability to apply concepts and principles of software engineering among majors needs to be improved.Course objectives for beginning computer science course were revised to include introduction of software engineering concepts, and the objectives of elective courses with software engineering projects were revised to include the reinforcement of software engineering concepts. A decision was made to develop a proposal for adding a senior software engineering design project as a program requirement.SLO11 Be able to apply the principles and practices for software design and development to real problems. . Direct assessment Core course exams and graded assignments Senior exit and learning outcomes surveys Student course evaluationsS 2006 Each semester Each semester in selected courses Each yearAlthough students seems to do well in applying the principles and practices for software design and development, it appears that there skills in software design could be strengthened.Further assessment is needed before program changes are recommended or implemented.SLO12 Be able to effectively communicate orally. Direct Assessment Core course exams and graded assignments Senior exit and learning outcomes surveys Student course evaluationsS 2006 Each semester Each semester in selected courses Each year Although most students seem to communicate orally well, some have difficulty. There may be a need to improve learning in this area. Further assessment is needed before program changes are recommended or implemented.SLO13 Be able to effectively communicate in written form. Direct assessment Core course exams and graded assignments Senior exit and learning outcomes surveys Student course evaluationsF 2005 Each semester Each semester in selected courses Each year A need to better detect and prevent plagiarism was identified.A departmental policy was developed to clarify issues for both students and faculty with respect to plagiarism.SLO14 Be able to work effectively on a team. Student teamwork surveys Core course exams and graded assignments Senior exit and learning outcomes surveys Student course evaluationsEach semester Each semester Each semester in selected courses Each semester An evaluation of the latest student teamwork surveys is currently underway.SLO15 Demonstrate knowledge of the social impact of computing. Informal Assessment Core course exams and graded assignments Senior exit and learning outcomes surveys Student course evaluationsS 2006 Each semester Each semester in selected courses Each year This assessment is currently underway.SLO16 Demonstrate an understanding of the professional and ethical considerations of computing.Informal Assessment Core course exams and graded assignments Senior exit and learning outcomes surveys Student course evaluationsS 2006 Each semester Each semester in selected courses Each year This assessment is currently underway.SLO17 Demonstrate the knowledge and capabilities necessary for pursuing a professional career or graduate studies. Alumni surveys Employer surveys Professional Advisory Board Feedback Senior exit and learning outcomes surveysEvery three years Every three years Each year Each semester in selected coursesThe results of the latest Alumni surveys are currently being analyzed.SLO18 Recognize the need for, and show an ability for, continuing professional development.Alumni surveys Employer surveys Professional Advisory Board Feedback Senior exit and learning outcomes surveysEvery three years Every three years Each year Each semester in selected coursesThe results of the latest Alumni surveys are currently being analyzed. Standard I-3. Data relative to the objectives must be routinely collected and documented, and used in program assessments. Standard I-4. The extent to which each program objective is being met must be periodically assessed. Standard I-5. The results of the programs periodic assessment must be used to help identify opportunities for program improvement. C. Assessmentstc "C. Assessments " \f C \l 2 For each instrument used to assess the extent to which each of the objectives is being met by your program, provide the following information: Frequency and timing of assessments What data are collected (should include information on initial student placement and subsequent professional development) How data are collected From whom data are collected (should include students and computing professionals) How assessment results are used and by whom Attach copies of the actual documentation that was generated by your data collection and assessment process since the last accreditation visit, or for the past three years if this is the first visit. Include survey instruments, data summaries, analysis results, etc. The Computer Science Department uses a variety of strategies to achieve its educational objectives and program outcomes (student learning outcomes). One strategy is to ensure that the coursework required for the degree covers the material addressed by the objectives and outcomes. A set of course objectives has been established for each course in the program. This set of objectives for a course specifies the student outcomes expected of each student successfully completing that course. Each of these course objectives is associated with one or more of the computer science program outcomes, and with that information each course is then associated with one or more of the program outcomes. The relationship between individual courses and the outcomes of the program are summarized in Tables I.2 and I.3. All members of the computer science faculty contributed to the information in these tables with the most recent information being gathered during the Spring 2006 semester. Table I.2: Program Outcomes Addressed by Required Courses Computer Science Program Outcomes (Student Learning Outcomes) Required Computer Science Course 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 Comp 110/L S S S S S S S L S Comp 122 S S Comp 182/L S S S S S S S Comp 222 S L Comp 232 S L Comp 282 S S S S S S S Comp 310 S S S S Comp 322/L S S S S S L S S L Comp 380/L S S S S S S Comp 450 S S S S S S S Math 150A S L Math 150B S L Math 262 S L Math 326 S L Math 340 or Math 441 S L Math 482 S L Phil 230 S Lab Science S Written Composition S L Oral Communication S L Humanities L Social Sciences L Comparative Cultural Studies L American History and Government L S = Strong Link L = Link ( ) = No Link Table I.3: Program Outcomes Addressed by Elective Courses Computer Science Learning Outcomes (Student Learning Outcomes) Elective Computer Science Course 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 Comp 108 L L L L L Comp 410 S S S S S Comp 421 S S S S S S S S S S S Comp 424 S L S S S S S S S Comp 426 S S S S S S S S S S S Comp 429 S S S S S S S S S S S S S S S Comp 432 S S S L S S S S L S Comp 440 S S S S S S Comp 465/L S S S S S Comp 467 L L Comp 469 S S S S S S Comp 480/L L S S S S S S Comp 484/L S S S S Comp 485 L S S Comp 496NSP S S S S S S S S S S Comp 496SSW L L S S S S S S S S Comp 529 S S S S S S S S Comp 560 S S S S S S S Comp 565 L S L S L S L L S Comp 585 S S S S S S S L L L L L L L L L Comp 586 S S S S Comp 587 L L S S S S S Comp 588 S S S S S S S S Comp 595DM S S Comp 598ADB S S Comp 598EA S S S S S S S S S S S S Comp 598SEC S S S S S S S Math 481A S S L L S L S S S S L L L S S S = Strong Link L = Link ( ) = No Link Over the past several years the Department has developed a comprehensive assessment program to ensure that all Program Educational Objectives and Program Outcomes are met by all computer science graduates. This program has evolved and undergone many revisions and refinements as we have learned more about effective approaches to assessment. The current version of the Departments assessment process is described below. This assessment process was developed to meet the following goals. Facilitate the direct assessment of student learning outcomes. While indirect assessments like surveys need to be continued, more emphasis is needed with respect to direct measures of student learning. Encourage the examination of various facets of student achievement. This means for example, that for an outcome like being proficient in a programming language, assessing not only students ability to answer questions about the language should be done, but their ability to write programs in the language, to debug those programs, and so on should also be measured. Assess the retention of student learning. It is essential to measure not just the skills and knowledge of students when they complete specific courses, but what they are able to retain as they move toward completion of the program. Assure that all student learning outcomes are assessed over some reasonable length of time. It is not reasonable to have learning outcomes if no effort is made to make sure students are achieving them. Ensure the continuity of the process. Assessment is not a one-time goal. As changes occur (changes in program goals and outcomes, changes in students, changes in the field, or changes in the methods of teaching) there is a need to reassess everything again. Most importantly, when changes have been made as the result of assessments, those changes must be reassessed to make sure the changes have resulted in improvements to the program. Provide for the validation of assessment results. Assessment results should be evaluated for validity before being used. The best way of accomplishing this is to use multiple assessment approaches for each outcome. Only when there is confidence in the validity of the assessment results should they be used as the basis for program improvements. Become a part of the normal operations of the Department and the activities of the individual instructors. To be effective assessments need to become a natural and accepted part of the educational process and not be burdensome for members of the faculty. Meet the Universitys needs for assessment and the requirements of ABET. Although the most important, reason for the assessment of learning is to inform those directly involved in the educational process as to how well they are doing and what they can do to improve, the process must also meet the specific requirements of both the University and ABET. These goals were influenced by our own past experiences, the research and experiences of others, as well as the needs of the University and ABET. According to Peter T. Ewell in his paper for the Council for Higher Education Accreditation (CHEA) called Accreditation and Student Learning Outcomes: A Proposed Point of Departure (September 2001), the assessment process can be considered complete only if it includes all of the following: Comprehensiveness covers the full range of learning outcomes Multiple Judgment multiple sources of evidence are used Multiple Dimensions different facets of student performance are included Direct Evidence direct measures of student attainment are used. The importance of direct assessment has also been noted by Charles Reed, Chancellor of the California State University, who recently discussed importance of directly measuring student learning outcomes . . . to assess the quality of undergraduate education. in a response to the Report of the Secretary of Educations Commission on the Future of Higher Education. Additionally, Diane F. Halpern, professor of psychology at Claremont Mckenna College, in an article called, Applying the Science of Learning to the University and Beyond in Change: Magazine of Higher Learning (2003), stated that the first and only goal [is to] teach for long-term retention and transfer. She added, We only care about student performance in school because we believe that it predicts what students will remember and do when they are somewhere else at some other time. Assessing student learning within the class where they are being taught doesnt tell us much about whether the material will be retained or whether students will be able to transfer what they have learned to some new situation. Meaningful assessment of learning can only be done at some later time. In our process, program learning outcomes are assessed as students near graduation in courses where they must apply the knowledge and skills learned earlier. Although this does not guarantee that they will be able to use what they have learned in out-of-school contexts, it certainly provides a greater degree of assurance that they have retained what they have learned and will be able to apply it in work and life experiences. Before discussing how the details of our assessment process, it will be helpful to understand the organizational environment in which assessment is accomplished. Within the Department the courses that are part of the Computer Science Program have been divided into groups of related courses called Program Areas. Each Program Area is associated with one or more of program outcomes. Associated with each course is a set of course objectives which specify the competencies each student successfully completing the course should have. Each of these course objectives is related to one or more of the program outcomes. Courses are assigned to Program Areas based on the relationship between their course objectives and the program outcomes that are part of a Program Area. Each course is in at least one Program Area, but in some cases a course might be in multiple areas. Table I.4 below shows the mapping between Program Areas, courses, and program outcomes for the Computer Science Program. Table I.4: Relationship Between Program Areas, Courses, and Outcomes PROGRAM AREA/ COORDINATOR REQUIRED COURSES ELECTIVE COURSES PROGRAM OUTCOMES Fundamental Concepts Rick Covington Comp 110/L Comp 122 Comp 182/L Comp 282 Comp 310 Comp 322/L Phil 230 Comp 108 Comp 410 Comp 421 Comp 424 Comp 426 Comp 429 Comp 432 Comp 465/L Comp 469 Comp 496NSP Comp 496SSW Comp 529 Comp 560 Comp 565 Comp 585 Comp 588 Comp 595DM Comp 598EA Comp 598SEC Math 481A Demonstrate an understanding of algorithms and data structures. (SLO1) Demonstrate proficiency in using a high-level computer language. (SLO4) Demonstrate a problem solving ability. (SLO8) Systems Robert McIlhenny Comp 110/L Comp 122 Comp 222 Comp 322/L Comp 108 Comp 421 Comp 426 Comp 429 Comp 465/L Comp 496NSP Comp 565 Comp 585 Comp 598EA Math 481A Demonstrate an understanding of computer organization and architecture. (SLO2) Language/Theory Gloria Melara Comp 110/L Comp 182/L Comp 222 Comp 232 Comp 282 Comp 310 Comp 322/L Math 150A Math 150B Math 262 Math 326 Math 340 Math 441 Math 482 Comp 108 Comp 410 Comp 426 Comp 429 Comp 432 Comp 465/L Comp 469 Comp 529 Comp 560 Comp 565 Comp 585 Comp 587 Comp 588 Comp 598EA Math 481A Demonstrate an understanding of programming language concepts and knowledge of a variety of programming language paradigms. (SLO3) Demonstrate an ability to apply mathematical skills appropriate to the computer science discipline. (SLO5) Software Engineering George Wang Comp 110/L Comp 182/L Comp 282 Comp 322/L Comp 380/L Lab Science Comp 421 Comp 424 Comp 426 Comp 429 Comp 432 Comp 440 Comp 465/L Comp 467 Comp 469 Comp 480/L Comp 484/L Comp 485 Comp 496NSP Comp 496SSW Comp 529 Comp 560 Comp 565 Comp 585 Comp 586 Comp 587 Comp 588 Comp 595DM Comp 598ADB Comp 598EA Comp 598SEC Math 481A Demonstrate proficiency in collecting, analyzing, and interpreting data. (SLO7) Demonstrate an understanding of emerging technologies and a working knowledge of currently available software tools. (SLO9) Demonstrate an understanding of the principles and practices for software design and development. (SLO10) Be able to apply the principles and practices for software design and development to real world problems. (SLO11) Societal Issues Brenda Timmerman Comp 310 Comp 322/L Comp 450 Humanities Social Science Cultural Stud. Am. History Comp 421 Comp 424 Comp 426 Comp 429 Comp 432 Comp 485 Comp 496NSP Comp 496SSW Comp 529 Comp 565/L Comp 585 Comp 588 Comp 598EA Demonstrate an awareness of the evolution and dynamic nature of the foundational core of computer science. (SLO6) Demonstrate knowledge of the social impact of computing. (SLO15) Demonstrate an understanding of the professional and ethical considerations of computing. (SLO16) Communications Diane Schwartz Comp 322/L Comp 380/L Comp 450 Written Comp. Oral Comm. Comp 421 Comp 424 Comp 426 Comp 429 Comp 440 Comp 480/L Comp 496NSP Comp 496SSW Comp 529 Comp 585 Comp 587 Comp 588 Comp 598EA Comp 598SEC Math 481A Be able to effectively communicate orally. (SLO 12) Be able to effectively communicate in written form. (SLO13) Be able to work effectively on a team. (SLO14) Career/Lifelong Learning Jack Alanen Comp 450 Written Comp. Oral Comm. Comp 108 Comp 421 Comp 429 Comp 432 Comp 496NSP Comp 529 Comp 565 Comp 585 Comp 598EA Math 481A Demonstrate the knowledge and capabilities necessary for pursuing a professional career or graduate studies (SLO17) Demonstrate the recognition of the need for, and ability for, continuing professional development. (SLO18) The Program Area coordinators along with the Assessment Coordinator (currently Professor Robert Lingard) who acts as chair comprise the Departments Assessment Committee. This committee is responsible for the outcomes selection, assessment planning, implementation, and validation of results for the assessment activities of the Department. The committee prepares recommendations for program improvements based on assessment results and presents them to the Department for discussion and to make decisions relative to implementation. The Department acts as a Curriculum Committee of the whole to approve any program changes after a thorough examination of the assessment results. Table I.5 summarizes the all the methods employed by the Department for assessment of the Program Educational Objectives and the Student Learning Outcomes established for students in the program. Following the table is a brief description of each method. Table I.5: Assessment Methods Assessment Method Frequency Indicators Monitor current student progress with graded assignments, projects, presentations, and examinations Semester Faculty evaluations of student work. (Grades) Solicit feedback from current students through course evaluations Semester Evaluations of various course and instructor qualities by students. (Statistics/Comments) Solicit feedback from graduating seniors through exit surveys Semester Evaluations of various program qualities by students nearing graduation. (Statistics/Comments) Solicit feedback from current students through learning outcomes surveys Semester Evaluations of learning outcomes importance and achievement by students nearing graduation. (Statistics) Solicit feedback from alumni through alumni surveys Triennial Evaluations of various program qualities by alumni. (Statistics/Comments) Solicit feedback from employers through employer surveys Triennial Evaluations of various program qualities by employers. (Statistics/Comments) Solicit feedback from Professional Advisory Board through meetings Annual Evaluations of various program qualities by members of the Professional Advisory Board. (Comments) Informal assessment of program outcomes (student learning outcomes) Annual (for selected outcomes) Independent faculty group evaluations of student work. Formal direct assessment of program outcomes (student learning outcomes) Annual (for selected outcomes) Direct measures of student achievement using rubrics Explanation of Assessment Methods: For each course in the program the instructor uses the scores on assignments, projects, presentations, and examinations to assess student achievement with respect to the objectives for the course. Since the courses objectives are related to the program outcomes this information can be used to gain insight with respect to the attainment of student learning outcomes for the program. These data are collected by individual instructors and used by them to make improvements in their specific courses and by the relevant Program Areas in the informal assessments of program outcomes. See 8 below. Student feedback is solicited by way of a course evaluation at the end of each semester. Students are given a questionnaire in which they are asked to evaluate the course and the instructor. This information is most useful to the instructor for making improvements in the way the course is taught. The collective results from all courses give insight relative to student perception of program quality and can indicate specific areas of the program in need of improvement. A copy of this instrument and recent overall results are given in the Appendix on Assessment. Each semester students in Comp 450 (a required class for seniors) are given an exit and learning outcomes survey asking their opinions about various aspects of the program. These data are collected by the Assessment Committee and used to suggest possible program improvements and to help determine outcomes in need of formal assessment. A copy of this survey and a summary of recent results are given in the Appendix on Assessment. Attached to the senior exit and learning outcomes survey is a set of questions asking students to evaluate both the importance of and their achievement of the student learning outcomes for the program. Although student perception of abilities does not guarantee actual achievement of desired outcomes, any areas of perceived weakness probably do indicate the need for further assessment. These data are used by the Assessment Committee to help determine which outcomes are most in need of formal assessment. Students are also asked to give their opinions as to the importance of each of the student learning outcomes in the program. This information is used by the Department when considering possible revisions to the program outcomes. Recent results are given in the Appendix on Assessment. Every three years, surveys sent to all graduates of the program asking them to provide feedback on their educational experience and to provide information about their current career situation. This information is collected by the Assessment Committee and used to help understand which outcomes need further assessment. It is also extremely useful in assessing the Program Educational Objectives since it provides feedback on post graduation experiences. Results from the latest surveys are given in the Appendix on Assessment. Employers of our graduates are also surveyed every three years. They are asked to provide their opinions about the quality of education received by their employees who graduated from our program, to comment on the objectives and outcomes of our program, and to provide any recommendations for improvement. This information is collected by the Assessment Committee and used in making suggestions for program improvement and in determining the need for specific assessments. Results from the latest surveys are given in the Appendix on Assessment. Annually, a meeting is held with the Professional Advisory Board and members of the Department to discuss the program. The Professional Advisory Board consists of representatives from key companies in the area who both hire our graduates and support the program in other ways. Data are collected in theses meetings regarding current needs of these companies and their perceptions relative to the strengths and weaknesses of our program. This information is used by the Department in considering changes to the objectives and outcomes of the program and by the Assessment Committee in deciding where assessments are needed and in suggesting program improvements. A summary of the last meeting is given in the Appendix on Assessment. For program outcomes (student learning outcomes) which are not being directly assessed and for which some assessment is deemed necessary, an informal process is used to gain insight into student learning, A Program Area meeting of all faculty teaching courses relevant to the outcome in question is held. The purpose of the meeting is to gather evidence from course instructors that would be useful in assessing the student learning outcome and to examine that evidence to make informal assessments regarding student achievement.. The program area coordinators are responsible for writing reports summarizing the results of these evaluations. The reports are disseminated to all members of the faculty and others as appropriate and provide valuable input to the Department in efforts to make recommendations regarding any needed changes in curriculum or learning outcomes. More importantly they provide important information to the Assessment Committee in determining which outcomes should be formally assessed. The guidelines for conducting these informal assessments and the template for reporting the results are provided in the Appendix on Assessment. The most recent reports are included as well. Specific program outcomes (student learning outcomes) are selected each year for formal direct assessment using the process described below. Typically, three to five outcomes are selected each year for formal assessment. The instruments used vary depending on the outcome being assessed, the facet of learning being examined, and availability of useful mechanisms for assessment. The reports for the most recent direct assessment activities are included in the Appendix on Assessment. Whenever possible multiple instruments are used. This is the most substantial part of the Departments assessment activities and the details are shown in the figure below and described in the text that follows.             At the third department meeting during the spring semester, area coordinators for each of our program areas are elected. (Each Computer Science course in the program has been placed into one of seven program areas, and each area has a coordinator.) Current coordinators may be re-elected, and there are no term limits. This set of program area coordinators constitutes the Assessment Committee for the year. Typically, three to five of the programs student learning outcomes are selected for formal assessment each year. During the first month of the spring semester the Assessment Committee identifies the program outcomes to be formally assessed during the current calendar year and presents this list for department approval no later than the first department meeting in March. Outcomes are selected using the following criteria: The primary outcomes selected for assessment are those identified as most in need of formal assessment based on informal assessments from the previous year. Any outcome not assessed during the last four years must be included (except for the first four years this process is used). This will insure each outcome is formally assessed at least once every five years. (Each outcome, if not formally assessed, is informally assessed annually.) Any outcome formally assessed in the previous four years for which the assessment results are deemed inadequate or for which some program change has been implemented to improve an uncovered problem or concern should be included for reassessment. The number of outcomes to be formally assessed should be at least one fifth of the total number of outcomes. Upon department approval of the outcomes to be formally assessed, the Assessment Committee will assign assessment responsibility for each selected outcome to the appropriate program area coordinator. Prior to the first department meeting in April, the program area coordinators will prepare an assessment plan for each of the outcomes for which they are responsible. The emphasis is on direct assessment of the outcomes. These plans will be presented for departmental approval during the first Department meeting in May. Once the assessment plans are approved, the program area coordinators ensure that the planned and approved assessment activities are accomplished and prepare a final report, prior to the last Department meeting of the year, summarizing and evaluating the results of these activities. These reports include the results of all informal assessments of program outcomes as well. Prior to the third Department meeting of the spring semester the assessment reports from all Program Areas are analyzed by the Assessment Committee and recommendations for program improvements are made. During the third Department meeting of the spring semester, the program improvement recommendations from the Assessment Committee are discussed, and the Department decides what actions are appropriate based on these recommendations. The process then loops back to step A. An important aspect of this approach is that it relies on the direct assessment of learning outcomes. Traditionally the assessment of program outcomes has relied primarily on indirect measures, in particular, surveys. Kathryn E. Sanders and Robert McCartney, of Rhode Island College and the University of Connecticut respectively, in an article called, Program Assessment Tools in Computer Science: A Report from the Trenches in the Proceedings of Special Interest Group on Computer Science Education (2003), reported the results of two surveys on the use of various assessment instruments. They showed that senior exit and learning outcomes surveys and alumni surveys were the most used ways of obtaining assessment information while direct measures such as exams, either internally or externally developed, and portfolios were used much less frequently. Meaningful assessments of student retention and the ability to apply what has been learned can only be obtained by directly measuring student performance, not just by asking students what they can do. Our approach emphasizes the measurement of student achievement with respect to program outcomes, not at the time they first acquire the knowledge and skills, but later in the program when they are required to apply what they have learned. The reports from recent assessment activities are shown in the Appendix on Assessment.  Standard I-6. The results of the programs assessments and the actions taken based on the results must be documented. D. Program Improvementtc "D. Program Improvement " \f C \l 2 Describe your use of the results of the programs assessments to identify program improvements and modifications to objectives. Include: Any major program changes within the last five years Any significant future program improvement plans based upon recent assessments Important changes to the program over the past five years: Several new courses were added to the program covering important new topics in computer science. The prerequisites for all courses in the program were reviewed and changes were made in many cases to ensure that appropriate prerequisite courses were specified. The course objectives for introductory courses in the program and elective courses requiring software development projects were modified with respect to the concepts and principles of software engineering. A new department policy covering plagiarism was put in place. Based on the formal assessment of SLO10, a study has been undertaken to examine the possibility of modifying the program to include a senior design project as a requirement for graduation.  E. Program Evolutiontc "E. Program Evolution " \f C \l 2 1. Describe in what respect, if at all, the philosophy and direction of the computer science program has changed at your institution during the last five years, or since the last accreditation visit, whichever is the more recent. In concert with a general trend within the University, there has been an emphasis on creating a more learning centered environment within the program. More active learning approaches to learning are being implemented within the classroom, including more team projects, oral presentations, and group discussions. Additionally, there is an increased emphasis on assessment as a means for improving learning. Both the University and ABET have increased the requirements for assessment and the Department has developed a comprehensive assessment process. 2. Describe any major developments and/or progress made in connection with the program in the last five years, or since the last accreditation visit, whichever is the more recent, that is not included in your response to Question I.C. XXX ??  F. Program Current Statustc "F. Program Current Status " \f C \l 2 1. List the strengths of the unit offering the computer science program. The greatest strength of the Department is the quality and dedication of the faculty. The computer science faculty has demonstrated a deep commitment to the Program and a spirit of cooperation even when faced with a constantly increasing workload due to growing needs in the areas of program assessment, departmental planning, student recruitment, retention, and advisement, and the investigation and establishment of new programs. In spite of these increased responsibilities, most members of the department faculty have found the time to perform research and to publish papers and books. They are all to be applauded for dedication to the Department and the program. Another strength of the program is its emphasis on a hands-on approach to learning. The high availability and up-to-date laboratory environment provided by the Department contributes significantly toward making this mode of learning possible. The understanding of the importance of this approach within the higher levels of the University administration has resulted in the financial support necessary to maintain this environment. 2. List any weaknesses or limitations of the institution or unit offering the computer science program. Because of declining enrollments, it has been difficult to offer all the courses students would like to take as frequently as needed to satisfy demand. This has caused some difficulties for students, either by requiring them to take courses at inconvenient times or requiring that they substitute other courses in place of the ones they wanted to take. Enrollments seem to be on the rise lately so this difficulty is likely to disappear. 3. List any significant plans for future development of the program. The Department will soon be offering a new program leading to an M.S. degree in software engineering. As a result of this program several new courses in software engineering will be added which will be available to the undergraduate computer science majors as well. This will significantly improve the software engineering portion of the computer science program. Another effort is underway to study the possibility of offering an undergraduate program in information technology. This will similarly provide additional courses in information technology, many of which will be available to computer science majors as well.  II. Student Supporttc "II. Student Support " \f C \l 1 Intent: Students can complete the program in a reasonable amount of time. Students have ample opportunity to interact with their instructors. Students are offered timely guidance and advice about the programs requirements and their career alternatives. Students who graduate the program meet all program requirements. Standard II-1. Courses must be offered with sufficient frequency for students to complete the program in a timely manner. Frequency of Course Offeringstc "A. Frequency of Course Offerings " \f C \l 2 List below the course numbers, titles, and semester hours of courses required for the major that are offered less frequently than once per year. Dept Course #Title of courseSemester hours Explain how it is determined when they will be offered, e.g., rotation, odd-numbered years, or whatever. All required courses within the major are offered each semester. 3. List below the course numbers, titles, and semester hours of courses allowed for the major but not required (i.e., either free electives or lists of courses from which students must choose a certain number), that are offered less frequently than once per year. Dept Course #Title of courseSemester hoursComputer Science ElectivesCOMP 410Logic Programming3COMP 421UNIX Environment for Programmers3COMP 424Computer System Security3COMP 426Fault-Tolerant Software and Computing3COMP 429Computer Network Software3COMP 432Object-Oriented Programming3COMP 440Database Design3COMP 465/LComputer Graphic Systems and Design3COMP 467Multimedia Systems Design3COMP 469Introduction to Artificial Intelligence3COMP 480/LSoftware System Development3COMP 484/LE-Commerce Technologies and Lab3COMP 485Human-Computer Interaction3COMP 496NSPAdvanced Network Security Projects3COMP 496SSWSecure software Engineering3COMP 529Advanced Network Topics3COMP 560Expert Systems3COMP 565Advanced Computer Graphics3COMP 585Graphical User Interface3COMP 586Object-Oriented Software Design3COMP 588Software Engineering Economics3COMP 595DMData Mining3COMP 595VAVSoftware Verification and Validation3COMP 598ADBAdvanced Database Systems3COMP 598EAEmbedded Applications3COMP 598SECAdvanced Computer System Security3Math and Science ElectivesMATH 340Introductory Probability3MATH 341Applied Statistics I3MATH 481ANumerical Analysis3PHYS 220A/LMechanics4PHYS 220B/L Electricity and Magnetism4CHEM 101/LGeneral Chemistry I5CHEM 102/LGeneral Chemistry II5BIOL 106/LBiological Principles I 4BIOL 107/LBiological Principles II4GEOG 101/102The Physical Environment4GEOG 103/105Weather4GEOL 101/102Geology of Planet Earth4GEOL 110/112Earth History4 4.Explain how it is determined when they will be offered, e.g., rotation, odd-numbered years, or whatever. The scheduling of the computer science elective courses is based on a combination of student demand and the need for all of these courses to be offered in a timely manner. Depending on the demand for the course, a computer science elective will be offered each semester, every other semester or every third semester. The department publishes a tentative long-term (three-year) schedule of classes so that students may plan their course selections in advance. The current long-term schedule is in Appendix . Several courses are in the University Catalog but do not appear on the long-term schedule. These courses have not been offered for several years, have been removed from the Universitys course list and will not appear in the next edition of the Catalog. The scheduling of the math and science courses is determined by the departments offering the courses and is based on student demand and need. There is usually sufficient demand for these courses for them to be offered at least once each academic year. Standard II-2. Computer science courses must be structured to ensure effective interaction between faculty/teaching assistants and students in lower division courses and between faculty and students in upper division courses. B. Interaction with Facultytc "B. Interaction with Faculty " \f C \l 2 1. Describe how you achieve effective interaction between students and faculty or teaching assistants in lower-division courses, particularly in large sections. All lower division computer science courses are taught in a lecture-discussion format where the class size is restricted to between 24 to 30 students during registration. At the start of a semester, instructors have the discretion to add additional students beyond the registration limit but are encouraged not to exceed a class size of 32 students. If there is a lab with the class, it is nearly always the case that the same instructor instructs both the lecture-discussion and lab.  2. Describe how you achieve effective interaction between students and faculty in upper-division courses. Give detailed explanation and/or documentation how you do this for sections with more than thirty students, if applicable. Except for COMP 322/L (operating systems), all upper division courses have an enrollment limit of between 24 to 30 students per session during registration with instructors allowed to add additional students at the start of the semester up to a limit of 32 students. For courses with labs, the same instructor teaches both the lecture and lab sessions. For COMP 322/L, the Department normally offers double-sized lecture sessions with approximately 40 to 50 students per lecture which then break into two to three separate lab sessions. The COMP 322L lab sessions are scheduled at non-overlapping times to permit the COMP 322 lecture instructor to cover all lab sessions associated with that lecture session. Standard II-3. Guidance on how to complete the program must be available to all students. C. Student Guidance tc "C. Student Guidance " \f C \l 2Describe what determines the requirements that a student will follow and how the student is informed of these requirements. The University publishes a catalog every two years that describes the requirements of all academic programs on campus. The University Catalog is available in hard-copy and on-line. The Department maintains a Web-based extract of the University description of the computer science program that is updated to reflect the most accurate information for the current academic year. When a student declares computer science as their major, they are informed that they must follow the program description in effect for that academic year. A student may elect to update to the current academic years program requirements at the time they request a graduation check or when major changes are made to the academic program. The University can generate a customized DPR (Degree Progress Report) report that lists the General Education and academic program courses a specific student still needs to complete to graduate (a sample DPR appears in Appendix ). Students are encouraged to go online to request their DPR at any time. This gives a student a way to track their progress toward graduation. Also, all entering students are told about the availability of the DPR reports and are provided with other program information sheets at the time of their mandatory advisement session. These information sheets are available any time either as hardcopy handouts from the Department Office or electronically from the Departments Web site (http://www.csun.edu/compsci/). Copies of the Computer Science Program Information Sheets appear in Appendix  Standard II-4. Students must have access to qualified advising when they need to make course decisions and career choices. D. Student Advisementtc "D. Student Advisement " \f C \l 2 Describe your system of advisement for students on how to complete the program. Indicate how you ensure that such advisement is available to all students. Advisement is mandatory for all freshmen students in the University (any student who has not completed 30 units of university level courses) prior to course registration each semester. In addition, all students entering the computer science program are initially placed in a computer science pre-major program until they have completed the first seven courses of the major with grades of C or better plus a campus g.p.a. of 2.0 or higher. All computer science pre-major students have mandatory advisement every semester. The pre-major consists of the following courses: G.E. Freshman English Composition, G.E. Oral Communication, COMP 110/L, COMP 122/L, COMP 182/L, PHIL 230 and MATH 150A. Advisement is required for new transfer students and is strongly encouraged for all transfer students during their first year in the program. After a student has been admitted to the full major, academic advisement becomes optional but is always available either by the student selecting a faculty member they wish to have as their advisor or by checking a department document that assigns a specific range of last names to a particular member of the faculty. Approximately one year prior to graduation a student must see their faculty advisor to request a graduation requirements check that is then filed with the Admissions and Records Office. Advisement by the Department chair or designee is mandatory for any student on academic probation prior to course registration each semester.  E. Access to Qualified Advisingtc "E. Access to Qualified Advising " \f C \l 2 When students need to make course decisions and career choices, what is their procedure for obtaining advising? Do they have adequate access to qualified professionals when necessary? The College of Engineering and Computer Science Student Service Center provides most of the routine advisement for computer science freshman and pre-majors. Counselors in the Center are available by walk-in and/or by appointment throughout the year. Two faculty advisors are also provided with reassigned time to handle freshmen and transfer advisement that is not handled by the Student Services Center. Students make appointments in the Department office to see these two faculty advisors. During the academic year department faculty members serve as advisors for the computer science majors who have completed the pre-major. Students may see faculty during their office hours or may request an appointment. During the summer months the freshmen advisor, transfer advisor and Department chair are available by appointment. For some types of career choice advisement, the University Career Center advisors may also be utilized. Appendix contains a listing of the faculty advisement responsibilities.  Standard II-5. There must be established standards and procedures to ensure that graduates meet the requirements of the program. F. Meeting the Requirementstc "F. Meeting the Requirements " \f C \l 2 Describe your standards and procedures for ensuring that graduates have met all of the requirements of the program. The Office of Admissions and Records will not graduate a student who does not meet all of the requirements of their major, the General Education program and any other general university requirement. The requirements for the computer science major are clearly and unambiguously listed in the University catalog and in the Universitys Solar computer system. Students are continuously informed of these requirements via their on-line Degree Progress Report. Any student who requests a waiver or substitution of any major graduation requirement must file a form with Admissions and Records that shows that the waiver or substitution has been approved by the department chair. To insure that each student is well aware of their graduation requirements, the University requires that a graduation requirements check (GRAD CHECK) be performed two to three semesters prior to a students planned graduation date. The first step in this process for a computer science student is to see their faculty advisor to review their graduation requirements. The faculty advisor and student sign a Program Requirements Evaluation Form and an Application for Bachelors Degree and Diploma (Appendix ). After these forms are completed and signed by both the student and their advisor, they are forwarded to the Department Chair for review and approval. After the Chair has signed the forms, the student must picks up the Application for Bachelors Degree and Diploma form from the Computer Science Department office and files it with the University Admissions and Records Office. This lets the Admission and Records Office know when the student plans to graduate and sets in motion a final graduation check by Admissions and Records.  III. Facultytc "III. Faculty " \f C \l 1 Intent: Faculty members are current and active in the discipline and have the necessary technical breadth and depth to support a modern computer science program. There are enough faculty members to provide continuity and stability, to cover the curriculum reasonably, and to allow an appropriate mix of teaching and scholarly activity. If different programs have different faculty members, please identify which faculty members are associated with which program(s), and the percentage of time allotted, if they are associated with more than one. Standard III-1. There must be enough full-time faculty members with primary commitment to the program to provide continuity and stability. Faculty Sizetc "A. Faculty Size " \f C \l 2 The purpose of this section is to determine whether you have sufficient faculty to offer courses often enough for students to complete the program in a timely manner. In Section II you gave the course numbers of courses required for the major which are offered less frequently than once per year, and those allowed for the major but not required, and explained how it is determined when they will be offered. Explain (if applicable) any difficulties you have offering required or optional courses frequently enough, particularly as they might be affected by faculty size. All required courses and all of elective courses in high demand are offered at least once per year. In fact, required courses are offered every semester. We have sufficient faculty with the expertise needed to offer all of our required and elective courses on this schedule. The lack of sufficient student demand is the primary reason all elective courses are not offered every year, not the lack of enough faculty. B. Faculty with Primary Commitmenttc "B. Faculty with Primary Commitment " \f C \l 2 1. Indicate the number of faculty with primary commitment to the program, that is, who regularly teach courses in the computer science segment of the program: 18. (This number does not include a professor who has been on leave for three years for personal reasons.) The purpose of the next question is to ascertain the continuity and stability provided by the faculty with primary commitment to the program. 2. Please list below the number (FTE) of faculty with primary commitment to the program in each academic rank, broken down within rank by tenure status. Full ProfessorAssociate ProfessorAssistant ProfessorInstructor or LecturerOther FacultyTenured94000Untenured00420 Standard III-2. Full-time faculty members must oversee all course work. Standard III-3. Full-time faculty members must cover most of the total classroom instruction. Faculty Oversighttc "C. Faculty Oversight " \f C \l 2 Full-time faculty must oversee all computer science course work allowed towards the major. That means each course must be either taught or coordinated by a full-time faculty member with primary commitment to the program. For those courses with sections not taught by full-time faculty during the last or current academic year, list the course numbers below and the name of the full-time faculty coordinator. (The last academic year is the academic year prior to the year in which this report is prepared.) Dept Course #Full-time Faculty CoordinatorCOMP 380/L (Spring 2007) George WangCOMP 465/L (Fall 2006)Gloria MelaraCOMP 496EBT (Spring 2006)Shan Bakataki COMP 380/L (Fall 2005)Diane SchwartzCOMP 429 (Fall 2005)Jeff WiegleyComp 465/L (Fall 2005)Mike Barnes Standard III-4. The interests and qualifications of the faculty members must be sufficient to teach the courses and to plan and modify the courses and curriculum. Standard III-5. All faculty members must remain current in the discipline. Standard III-6. All faculty members must have a level of competence that would normally be obtained through graduate work in computer science. Standard III-7. Some full-time faculty members must have a PhD in Computer Science. Interests, Qualifications, and Scholarly Contributionstc "D. Interests, Qualifications, Scholarly Contributions " \f C \l 2 The Criteria states that the interests, qualifications, and scholarly contributions of the faculty must be sufficient to teach the courses, plan and modify the courses and curriculum, and to remain abreast of current developments in computer science. This information should be contained in the faculty vitas attached to this report and need not be repeated here. A sample vita questionnaire is attached in Section G below. Although it is not necessary to follow this format, it is important that whatever format is followed contain all the information asked for. And, to make things easier for the visiting team, please see that all faculty vitas are in the same format, whichever format is used. This is an appropriate place to insert a description of general departmental or institutional activities that promote faculty currency, if such exist. Newly hired tenure-track faculty are automatically provided with a 3 unit reduced load each semester for their three semesters to allow them to adjust to the campus and to pursue their research interests. The University Research and Grants Office has a program that allows any tenure track professor to submit a request for a 3 unit release for one semester for the purpose of writing grant proposals for an interest they wish to pursue. Grants received by faculty usually provide for release time from teaching. Faculty are encouraged to attend professional conferences and workshops with the Department and College picking up most of the registration and travel expenses. When a professor proposes major curriculum or pedagogical changes to an existing course or proposes a new course, the Department or University will consider providing release time to assist the process. There are also several grant competitions (e.g, Beck grants) on campus for which faculty can get reassign time to make changes in curriculum or pedagogy. Full-Time Faculty Research Interests and Areas of Specialization Jack Alanen software metrics; statistical data analysis; software fault tolerance and RMA; management of information systems Prasanta Barkataki object-oriented software development; Ada and Ada 96; software engineering; large system development Mike Barnes interactive computer graphics (visualization, virtual reality, games);graphical user interfaces; human computer interaction Richard Covington graphical user interfaces; computer architectures; simulation and performance analysis Peter Gabrovsky artificial intelligence; expert systems Robert Lingard software engineering (especially quality assurance) and CAD/CAM Richard Lorentz game playing programming (especially the game of Go/WeiQi/Baduk and the game Amazons); discrete algorithms; theory of computing Robert McIlhenny high-speed architectures; object-oriented programming; computer ethics Gloria Melara multi-media; video/image compression techniques; computer ethics John Noga design and analysis of algorithms Son Pham database design and optimization; OODB; compilers for natural languages Diane Schwartz software engineering; discrete algorithms; object-oriented software development Steven Stepanek operating systems (special interest in UNIX); networks; object-oriented programming Brenda Timmerman network and wireless security; computer system security; software development security; information assurance; encryption George (Taehyung) Wang software engineering; semantic computing; data mining applications Jeff Wiegley automated assembly path planning; geometric shape analysis; embedded systems; software and infrastructure applications design  Standard III-8. All full-time faculty members must have sufficient time for scholarly activities and professional development. Scholarly Activitiestc "E. Scholarly Activities " \f C \l 2 Describe the means for ensuring that all full-time faculty members have sufficient time for scholarly activities and professional development. The standard teaching load in the California State University system for full-time faculty is 12 units per semester. Nearly all of the full-time tenure track faculty in Computer Science teach fewer than 12 units and usually have no more that two preparations. Faculty are given reassign time (a reduction in teaching units from the 12 unit norm) for activities such as student advisement, assessment, course development and curriculum review, lab development and grant-related research. New tenure-track faculty are given 3 units per semester of reassign time for scholarly and professional activities during their three semesters on campus. Due to the decrease in the number of computer science majors since 2002, the average class size in the computer science program has decreased since 2002. The average class size is now under 25. Faculty are able to spend less time grading class assignments and helping students, without decreasing the quality of the education provided. Despite the high teaching loads our faculty continue to find time to write scholarly papers, attend conferences and professional development workshops, consult in the computer industry, develop and prepare for new courses and supervise graduate students. Many faculty are involved in assessment of student learning outcomes and they are making this their area of scholarly interest. They have presented and published papers on assessment. This blending of different faculty responsibilities (teaching, assessment, curriculum design) into a package of scholarly activities is one way faculty create time for scholarly activities and professional development. Standard III-9. Advising duties must be a recognized part of faculty members workloads. Support for Advisingtc "F. Support for Advising " \f C \l 2 Advising duties must be a recognized part of faculty members workloads, which means that faculty with large numbers of advisees must be granted released time. Explain your advising system and how the time for these duties is credited. All incoming computer science students are placed in the pre-computer science major, where they remain until they have completed seven courses in the computer science program, including two courses in freshman composition and in oral communication. All of these students have mandatory advisement each semester. They are generally advised by the College Student Services Center. A single member of the faculty receives 3 units of reassign time for working with the Student Services Center to help advise these students. Transfer students are strongly encouraged to visit the Transfer Advisor at least once each semester for their first two semesters at CSU Northridge. A single member of the faculty receives 3 units of release time for performing the duties of Transfer Advisor and, depending on the number of transfers being advised, may receive a stipend during the summer. All students on academic probation (overall GPA is less than 2.0) must see the Department Chair or designee prior to registration for each semester they are on probation. For all remaining undergraduate students (about of the total number computer science majors and pre-majors), advisement is optional and students are allowed to either select their own advisor from the full-time faculty or check with the Department for assignment to a faculty advisor based on the students last name. Each full-time instructor is assigned an alphabetical block of approximately 15 potential students to advise. The advisement of these continuing students is considered part of the normal administrative activities that each full-time professor automatically receives 3 units of time to perform. The Freshmen Advisor, Transfer Advisor and Department Chair are excluded from the assignment of an alphabetical block of continue students to advise. The Advisement Procedures sheet in Appendix VII.J shows the division of student advisement activities amongst faculty. G. Information Regarding Faculty Memberstc "G. Information Regarding Faculty Members " \f C \l 2 On separate pages, please furnish the following information for all faculty members that teach courses allowed for the major, including those who have administrative positions in the department (chair, associate chair, etc.). Use the form given below as guidance. This form need not be followed exactly, but all requested information should be supplied. Please use a common format for all vitas. Please limit information to no more than three pages per person, if at all possible. Please place the form(s) for administrator(s) first, followed by the others in alphabetical order. 1. Name, current academic rank, and tenure status  CONTACT _Con-42CC45EE1 \c \s \l Steven Stepanek, Department Chair, Professor, Tenured 2. Date of original appointment to this faculty, followed by dates and ranks of advancement 1976-1981 Part-time / Full-time Lecturer 1981 Assistant Professor, Probationary 1984 Tenured 1985 Associate Professor 1993 Full Professor 1999 Dept Chair (3 year appointment) 2002 Dept Chair (3 year appointment) 2005 Dept Chair (3 year appointment) 3. Degrees with fields, institutions, and dates DegreeFieldInstitutionDateB.A.MathematicsCalifornia State University, Northridge1974M.S.Computer ScienceCalifornia State University, Northridge1980 4. If you do not have a formal degree in computer science, describe any course work you may have taken, or other ways in which you have achieved competence in computer science; there is no necessity to repeat information here which is contained in later sections of this document.  5. Conferences, workshops, and professional development programs in which you have participated in the last 5 years to improve teaching and professional competence in computer science Attended national USENIX Conference in 2005, national SIGSCE Conferences in 2002, 2004 and 2006, and the twice annual CSU Statewide Computer Science Curriculum meetings for past eight years; current statewide computer science curriculum coordinator for both the IMPAC and LDTP statewide initiatives regarding common curriculum and transfer issues involving the CSU, UC and community college systems in California.  6. Other related computing experience including teaching, industrial, governmental, etc. (Where, when, description and scope of duties) 1974-1980, CSU, Northridge Computer Center staff, advancing from consultant to operating system support group 1980-1981, Control Data Corporation, Operating System and Software Conversion Consultant 7. Consultinglist agencies and dates, and briefly describe each project 1981-1996, UNIX and object-oriented design consultant/instructor to such companies and government agencies as CADAM, the California State University System, Honeywell, IBM, Litton Data Systems, NASA, Teradyne, and XonTech 1983-1985, UNIX operating systems support consultant to the Rand Corporation, also provided tutorial lectures to the Rand staff on the use of UNIX 8. Principal publications during the last five years. Give in standard bibliographic format. None during past 5 years. 9. Other scholarly activity during the last 5 years: grants, sabbaticals, software development, etc. See response to #11 for a listing of my responsibilities and activities. 10. Courses taught this and last academic year term-by-term. This year is the academic year in which this Self-Study report is prepared; the last year was the year prior to this. If you were on sabbatical leave, please enter the information for the previous year. Please list each section of the same course separately. Term/yearCourse numberCourse titleSemester hrsClass sizeNo regular teaching assignment during this two year period. 11. Other assigned duties performed during the academic year, with average hours per week. Indicate which, if any, carry extra compensation. If you are course coordinator for courses taught by other than full-time faculty, please indicate here which courses. Continuing twelve-month appointments as full-time Dept Chair (no teaching responsibilities required but some times I am a substitute instructor); 15% increase in salary over regular nine month faculty position. Responsibilities as a dept chair include advising probationary students, handling students and faculty issues, scheduling classes and lab resources, administrating a department budget, overseeing the selection and installation of new computing equipment in labs and selected research areas, coordinating curriculum changes including the work to create a new M.S. degree in software engineering and a new B.S. degree in information technology, recruiting part-time and tenure track faculty, development activities, open house and special tour planning, maintaining the content of the departments Web site, reviewing articulation requests, and attending many planning meetings. I also serve on the campus Faculty Senate, Senate Executive Committee, chair the campus Educational Resources Committee, as an advisor on two campus technology committees and as a campus Senator to the CSU Statewide Academic Senate; I receive 3 units release time for my service on the CSU Statewide Academic Senate the 3 units of release time are being reassigned to a member of the dept to be an assistant dept chair. 12. Number of students for which you serve as academic advisor: N/A, but the dept chair is involved in the advisement of all computer science students on academic probation or who have special situations. 13. Estimate the percentage of your time devoted to scholarly and/or research activities: 10%. Please give a brief description of your major research and scholarly activities: Object-oriented concepts and programming languages; operating systems with special emphasis on UNIX; on-line and virtual course pedagogy and technology 14. If you are not a full-time faculty member, state what percentage of full-time you work: _____%. Percentage of this time allocated to the computer science program being evaluated: _____%. 1. Name, current academic rank, and tenure status Jack Alanen, Professor, Tenured 2. Date of original appointment to this faculty, followed by dates and ranks of advancement 1980-1982 Professor and Department Chair, Probationary 1982 Full Professor, Tenured 1990-2000 Part-time Lecturer 2000-2002 College Associate Dean with retreat rights to Department as a tenured full Professor 2002 Full Professor 3. Degrees with fields, institutions, and dates DegreeFieldInstitutionDateB.S.MathematicsCase Institute of TechnologyJune 1960M.S.MathematicsCase Institute of TechnologyJune 1962M.S.StatisticsYale UniversityJune 1967M.Ph.StatisticsYale UniversityJune 1968Ph.D.StatisticsYale UniversityJune 1972 4. If you do not have a formal degree in computer science, describe any course work you may have taken, or other ways in which you have achieved competence in computer science; there is no necessity to repeat information here which is contained in later sections of this document. I began programming as an undergraduate assistant in 1957 at Case Tech, and continued working as a graduate assistant for the Case Computer Center from 1960-1962. There were no computer science degrees at Case then, so I majored in mathematics and statistics. I worked as a Programmer at IBM Advanced System Division starting in 1963 and held numerous computing positions thereafter, including Software Manager at the Yale Computer Center, Head of the Computer Center at the University of Nairobi, Director of the CWRU Academic Computing Center, Senior Collaborator in the Computing Department of the Mathematical Center (Amsterdam,. Holland), Senior Staff Member in the Informatics Department of the University of Utrecht (Holland), and Associate Professor of Computer Science at SUNY/Buffalo, as well as various computing positions in the aerospace industry including Senior Staff Member at Litton Guidance and Control Systems, Director of Software Engineering at Litton AeroProducts, Senior Staff Engineer for SoHaR (Software Hardware Reliability), and Senior Scientist at Litton Data Systems. 5. Conferences, workshops, and professional development programs in which you have participated in the last 5 years to improve teaching and professional competence in computer science 2007: Edward Tufte one-day seminar on the graphical representation of qualitative and quantitative data. 2002-2006: numerous CSUN training sessions on WebCT, BlackBoard, WBT tools, plagiarism, and teaching techniques. 2002-2005: Annual COCOMO Conference at the USC Software Engineering Institute. 6. Other related computing experience including teaching, industrial, governmental, etc. (Where, when, description and scope of duties) Taught MPA 622B (Management of Information Resources), an elective graduate course in the Master of Public Administration program at CSUN, Spring 2006 and twice before that. Taught KM 650 (Technology of Information), a core graduate course in the Master of Knowledge Management at CSUN, Spring 2007. Invited keynote speech Californias Public Higher Education System at the Litton Management Club (2001). Designed and taught a 4-week course Software Configuration Management, Quality Assurance, Reliability, and Testing to practicing engineers in Ankara, Turkey, for the U.S. and Turkish Air Forces (2000). Senior Scientist, Litton Data Systems Division (1993-2000), managed a software engineering process group and headed the software metrics group. Senior Instructor, UCLA Extension, taught 5 different courses in computer science (1983-1994). 7. Consultinglist agencies and dates, and briefly describe each project CSUN Extension, 2005-present: Consultant to Al Buraimi University College in Oman to develop undergraduate degree programs in information technology, computer science, and software engineering. Visited Oman in Spring 2007 to formally assess their new academic programs in computing. CSUN Extension, 2004-present: member of CSUN Public Administration Advisory Board. Development and oversight of graduate degree programs in public administration. CSUN Extension, 2005-present: member of Knowledge Management Advisory Board which created a new Masters degree program in Knowledge Management. I personally designed the course KM 650 (Technology of KM Information). 8. Principal publications during the last five years. Give in standard bibliographic format. Estimating software productivity and quality on large systems, Applications of Software Management Conference (2001). Managing by metrics, Software Data Exchange Conference (2000). Software metrics for risk management, Risk Management Symposium, sponsored by the AeroSpace Corporation (1999). 9. Other scholarly activity during the last 5 years: grants, sabbaticals, software development, etc. Mentor to visiting Chinese scholar (Dr. Cindy Xiang) at CSUN (2003-2004 academic year). 10. Courses taught this and last academic year term-by-term. This year is the academic year in which this Self-Study report is prepared; the last year was the year prior to this. If you were on sabbatical leave, please enter the information for the previous year. Please list each section of the same course separately. Term/yearCourse numberCourse titleSemester hrsClass sizeSP2007COMP 100Computers: Their Impact and Use333SP2007COMP 100Computers: Their Impact and Use330SP2007COMP 588Software Engineering Economics39FA2006COMP 100Computers: Their Impact and Use330FA2006COMP 310Automata, Languages, and Computation316FA2006COMP 310Automata, Languages, and Computation324FA2006COMP 499CIndependent Study31SS2006COMP 426Fault-Tolerant Software and Computing316SP2006COMP 310Automata, Languages, and Computation315SP2006COMP 310Automata, Languages, and Computation322SP2006COMP 499CIndependent Study31SP2006COMP 698CThesis Graduate Project30.5FA2005COMP 100Computers: Their Impact and Use330FA2005COMP 100Computers: Their Impact and Use329FA2005COMP 499CIndependent Study31FA2005COMP 595SEMSoftware Engineering Management 314FA2005COMP 696CDirected Graduate Research31 11. Other assigned duties performed during the academic year, with average hours per week. Indicate which, if any, carry extra compensation. If you are course coordinator for courses taught by other than full-time faculty, please indicate here which courses. Transfer Advisor, Computer Science Department (3 hours weekly; receive reduced course-load of 3-units per Fall/Spring semesters). Thesis Chair, two M.S. students (6 hours weekly for two semesters). 12. Number of students for which you serve as academic advisor: About 20 undergraduates per academic year as their major/minor advisor, plus another 100 to evaluate their non-CSUN courses or advise them about transferring to CSUN. 13. Estimate the percentage of your time devoted to scholarly and/or research activities: 10%. Please give a brief description of your major research and scholarly activities: I have not published since leaving the Associate Deans position in Fall 2002. I have instead been active on various Department, College, and University committees, e.g., Personnel, Academic Affairs, Advisory Boards, Accreditation, Student Affairs, and Planning. I am always learning and implementing new active learning techniques in my courses, as well as designing and teaching new courses (e.g., graduate courses in Software Metrics, Software Engineering Management, IT Management, and Technology of Knowledge Management). 14. If you are not a full-time faculty member, state what percentage of full-time you work: _____%. Percentage of this time allocated to the computer science program being evaluated: _____%. 1. Name, current academic rank, and tenure status Prasanta (Shan) Barkataki, Professor, Tenured 2. Date of original appointment to this faculty, followed by dates and ranks of advancement 1981 Full-time Lecturer 1983 Associate Professor, Probationary 1984 Tenured 1985 Full Professor 3. Degrees with fields, institutions, and dates DegreeFieldInstitutionDateBSc. (Eng)Mechanical EngineeringUniversity of London, England, UK1970Ph D.Computer ScienceUniversity of Bradford, England, UK1976 4. If you do not have a formal degree in computer science, describe any course work you may have taken, or other ways in which you have achieved competence in computer science; there is no necessity to repeat information here which is contained in later sections of this document.  5. Conferences, workshops, and professional development programs in which you have participated in the last 5 years to improve teaching and professional competence in computer science Jun. 2006: SEI Software Architecture for Educator Jan. 2006: ACM LA Chapter short course in XML Technology Oct. 2005: ACM SigITE Conference, Newark Sep. 2005: IBM Rational Software Architecture Faculty Workshop Nov. 2005: Microsoft Academic Days Seminars, Las Vegas Apr. 2004: Software Technology Conference, Salt Lake City Oct. 2003: ACM OOPSLA Conference, Anaheim Oct. 2003: Agile Software Development Workshop, Anaheim 2003: ASEE Annual Conference, Memphis, TN 6. Other related computing experience including teaching, industrial, governmental, etc. (Where, when, description and scope of duties) 7. Consultinglist agencies and dates, and briefly describe each project Northrop-Grumman- 2001- 2006, Software process improvement, UML-2, Safety critical software design, Ada-95, Software Design  8. Principal publications during the last five years. Give in standard bibliographic format. Developing Useful Use Cases. Proceedings Software Technology Conference. Salt Lake City, UT, April 2004. Adding Excitement to Student Projects: Try Web Based Industry Collaboration. Proceedings ASEE Conference. Nashville, TN, 2003.  9. Other scholarly activity during the last 5 years: grants, sabbaticals, software development, etc. Sabbatical leave 2002-2003 academic year: Created new course on e-business technology; Established new E-business technology laboratory for instructional purposes. 10. Courses taught this and last academic year term-by-term. This year is the academic year in which this Self-Study report is prepared; the last year was the year prior to this. If you were on sabbatical leave, please enter the information for the previous year. Please list each section of the same course separately. Term/yearCourse numberCourse titleSemester hrsClass sizeSP2007COMP 680Software Engineering322SP2007COMP 484/LE-Business Technologies/ Lab418SP2007COMP 494HCCHonors Co-Op Internship (director)3SP2007COMP 696CDirected Graduate Research0.51SP2007COMP 698CThesis Graduate Project 24FA2006COMP 484/L E-Business Technologies /Lab415FA2006COMP 586Object-Oriented Software Development323FA2006COMP 696CDirected Graduate Research34FA2006COMP 494HCCHonors Co-Op Internship (director)3SP2006COMP 696CDirected Graduate Research 0.51SP2006COMP 698CThesis Graduate Project 12SP2006ENGR 494Honors Co-Op Internship (director)3FA2005COMP 586Object-Oriented Software Development 320FA2005COMP 696CDirected Graduate Research 12FA2005COMP 698CThesis Graduate Project 0.51FA2005COMP 494HCCHonors Co-Op Internship (director)311. Other assigned duties performed during the academic year, with average hours per week. Indicate which, if any, carry extra compensation. If you are course coordinator for courses taught by other than full-time faculty, please indicate here which courses. Fall 2005: Planning for BSIT program: 3 units release time Spring 2005Fall 2006: Academic administration of College Honors Co-Op program: 3 units release time, each semester.  12. Number of students for which you serve as academic advisor: 17 13. Estimate the percentage of your time devoted to scholarly and/or research activities: 20%. Please give a brief description of your major research and scholarly activities: Keeping current in software engineering: UML & SysML, Process improvement (CMMI), Object-oriented development methods, e-business tools & technology (.net, XML, VS-2005, Ajax)  14. If you are not a full-time faculty member, state what percentage of full-time you work: _____%. Percentage of this time allocated to the computer science program being evaluated: _____%. 1. Name, current academic rank, and tenure status G. Michael Barnes, Professor, Tenured 2. Date of original appointment to this faculty, followed by dates and ranks of advancement 1981 Assistant Professor, Probationary 1984 Associate Professor, Tenured 1988 Full Professor  3. Degrees with fields, institutions, and dates DegreeFieldInstitutionDateA.B. PsychologyU.C. Berkeley1972M.A. PsychologyC.S.U. Long Beach1975M.S.Computer ScienceKansas State Univ.1980Ph.D. PsychologyUniv. of Kansas1980 4. If you do not have a formal degree in computer science, describe any course work you may have taken, or other ways in which you have achieved competence in computer science; there is no necessity to repeat information here which is contained in later sections of this document.  5. Conferences, workshops, and professional development programs in which you have participated in the last 5 years to improve teaching and professional competence in computer science 2004: ACM SIGGRAPH, Computer Graphics Conference 6. Other related computing experience including teaching, industrial, governmental, etc. (Where, when, description and scope of duties) Computer Science Dept. Kansas State University, 1980, 1 year, Assistant Professor tenure track. Computer Science Dept. Kansas State University, 1978, 2 years, Graduate Teaching Assistant. 7. Consultinglist agencies and dates, and briefly describe each project FLAPW Partners, a private research group working under contract with Westinghouse, Chicago IL., 2000. Designed and developed a 3D visualization tool for physicists engaged in research with various atomic structures.8. Principal publications during the last five years. Give in standard bibliographic format. Covington, R. and G.M. Barnes. Time Management Assessment Technique That Improves Student Performance. Proceedings ASEE Annual Conference. Chicago, June 2006: 2006-121, pp 15. Barnes, G.M., J. Noga, P.D. Smith, J. Wiegley. Experiments with Balanced-Sample Binary Trees. Proceedings of the 36th SIGCSE technical symposium on Computer science education, ACM SIGCSE Bulletin. 2005: pp. 166-170. 9. Other scholarly activity during the last 5 years: grants, sabbaticals, software development, etc. Fall 2006, one semester sabbatical. Research in Procedural Modeling, interactive 3D computer graphics. 10. Courses taught this and last academic year term-by-term. This year is the academic year in which this Self-Study report is prepared; the last year was the year prior to this. If you were on sabbatical leave, please enter the information for the previous year. Please list each section of the same course separately. Term/yearCourse numberCourse titleSemester hrsClass sizeSP2007 COMP 565Advanced Computer Graphics318SP2007 Comp 432Object Oriented Programming323SP2007 Comp 450Societal Issues313SP2007Comp 698CThesis Graduate Project0.51FA2006Sabbatical SemesterFA2006Comp 696CDirected Graduate Studies 1.53FA2006Comp 698CThesis Graduate Project0.51SP2006Comp 565Advanced Computer Graphics328SP2006Comp 432Object Oriented Programming323 SP2006Comp 432Object Oriented Programming328SP 2006Comp 696CDirected Graduate Studies 0.51SP 2006Comp 698CThesis Graduate Project12SP 2006Comp 699CIndependent Study12FA2005Comp 322Operating Systems320FA2005Comp 322LOperating Systems Lab210FA2005Comp 322LOperating Systems Lab211FA2005Comp 585Graphical User Interfaces318FA2005Comp 696CDirected Graduate Studies 12SP2005Comp 432Object Oriented Programming320 SP2005Comp 432Object Oriented Programming325SP2005Comp 696CDirected Graduate Studies 12SP2005Half-time sick leave for medical reasons 11. Other assigned duties performed during the academic year, with average hours per week. Indicate which, if any, carry extra compensation. If you are course coordinator for courses taught by other than full-time faculty, please indicate here which courses. Course coordinator COMP 465/L Computer Graphics and Lab. 12. Number of students for which you serve as academic advisor: 17 13. Estimate the percentage of your time devoted to scholarly and/or research activities: 25%. Please give a brief description of your major research and scholarly activities: Computer Science Education. Virtual, multi-user, interactive, game and/or cooperative work environments. Scientific visualization. Human computer interaction aspects of graphical user interfaces. Maintaining currency in Computer Science areas related to my teaching. 14. If you are not a full-time faculty member, state what percentage of full-time you work: _____%. Percentage of this time allocated to the computer science program being evaluated: _____%. 1. Name, current academic rank, and tenure status Richard Covington, Associate Professor, Tenured 2. Date of original appointment to this faculty, followed by dates and ranks of advancement 2000 Assistant Professor, Probationary 2006 Associate Professor, Tenured 3. Degrees with fields, institutions, and dates DegreeFieldInstitutionDateB.A.PhysicsHarvard University1980M.S.EERice University1985Ph.D.ECERice University1989 4. If you do not have a formal degree in computer science, describe any course work you may have taken, or other ways in which you have achieved competence in computer science; there is no necessity to repeat information here which is contained in later sections of this document. Although my PhD is in Electrical and Computer Engineering, the list of required courses in my program overlapped significantly with the courses required in Computer Science. In addition, I have 11 years of industry experience with many aspects of software development and software engineering. 5. Conferences, workshops, and professional development programs in which you have participated in the last 5 years to improve teaching and professional competence in computer science June 2006: ASEE Annual Conference, Chicago 6. Other related computing experience including teaching, industrial, governmental, etc. (Where, when, description and scope of duties) Member of Technical Staff, Caltech/NASA Jet Propulsion Laboratory, January 1989 to August 2000, Software Product Assurance Section and Systems Engineering Section. Visiting Faculty, Caltech, September 2000 through December 2001, Instructor for Introductory Courses in C/C++/Java/Scheme. Part-time Instructor, East Los Angeles College (Los Angeles Community College District), September 1995 through May 2000, Instructor for Introductory Courses in C/C++/Java/VB. 7. Consultinglist agencies and dates, and briefly describe each project 8. Principal publications during the last five years. Give in standard bibliographic format. Pham, S., and R. Covington. Freeware-Based Development Projects As a Learning Framework for Upper-Division Database Course. 2006 International Conference on Frontiers in Education: Computer Science and Computer Engineering (FECS'06). Las Vegas, NV, June 2006. Covington, R. and G.M. Barnes, G.M. A Time Management Assessment Technique That Improves Student Performance. Proceedings ASEE Annual Conference. Chicago, June 2006. Covington, R. and L. Benegas. A Cognitive-Based Approach for Teaching Programming to Computer Science and Engineering Students, ASEE Annual Conference. Portland, OR, June 2005.  9. Other scholarly activity during the last 5 years: grants, sabbaticals, software development, etc.  10. Courses taught this and last academic year term-by-term. This year is the academic year in which this Self-Study report is prepared; the last year was the year prior to this. If you were on sabbatical leave, please enter the information for the previous year. Please list each section of the same course separately. Term/yearCourse numberCourse titleSemester hrsClass sizeSP2007COMP 110/LIntroduction to Algorithms and Programming/ Lab7 (2 labs)40SP2007COMP 110/LIntroduction to Algorithms and Programming/ Lab528FA2006COMP 182/LData Structures and Program Design/Lab523FA2006COMP 585Graphical User Interfaces325FA2006COMP 585Graphical User Interfaces324SP2006COMP 110/LIntroduction to Algorithms and Programming/ Lab526SP2006COMP 110/LIntroduction to Algorithms and Programming/ Lab530FA2005COMP 110/LIntroduction to Algorithms and Programming/ lab522FA2005COMP 110/LIntroduction to Algorithms and Programming/ Lab527FA2005COMP 696ADirected Graduate Research10.5 11. Other assigned duties performed during the academic year, with average hours per week. Indicate which, if any, carry extra compensation. If you are course coordinator for courses taught by other than full-time faculty, please indicate here which courses. 12. Number of students for which you serve as academic advisor: 17 13. Estimate the percentage of your time devoted to scholarly and/or research activities: 15%. Please give a brief description of your major research and scholarly activities: I have published several papers on computer science pedagogy. Topics have included: research into cognitive models for how students learn programming, experiments into the role of time management skills in students performance on projects and exams, and use of freeware resources to support projects assigned in an upper-division database course 14. If you are not a full-time faculty member, state what percentage of full-time you work: __ N/A ___%. Percentage of this time allocated to the computer science program being evaluated: __ N/A ___%. 1. Name, current academic rank, and tenure status Peter Gabrovsky, Associate Professor, Tenured 2. Date of original appointment to this faculty, followed by dates and ranks of advancement 1989 Assistant Professor, Probationary 1993 Associate Professor, Tenured 3. Degrees with fields, institutions, and dates DegreeFieldInstitutionDateMagisterComputer ScienceWarsaw UniversityMay 1968Ph.D. Computer ScienceSyracuse UniversityJune 1976 4. If you do not have a formal degree in computer science, describe any course work you may have taken, or other ways in which you have achieved competence in computer science; there is no necessity to repeat information here which is contained in later sections of this document.  5. Conferences, workshops, and professional development programs in which you have participated in the last 5 years to improve teaching and professional competence in computer science 2005: 2nd International Conference on Computer Science and Information Systems, Athens 6. Other related computing experience including teaching, industrial, governmental, etc. (Where, when, description and scope of duties) UCLA Extension, since 1990, lecturer in the computer science program 7. Consultinglist agencies and dates, and briefly describe each project MINDBOX corporation, on the board of directors since 2003 representing academic institutions 8. Principal publications during the last five years. Give in standard bibliographic format. "Extending Logic Programming Beyond Computability." 2nd International conference on Computer Science and Information Systems 2005. Athens, 2005 (withdrawn due to time conflict). "Generalizing Negation in Logic Programming" in preparation. 9. Other scholarly activity during the last 5 years: grants, sabbaticals, software development, etc. Spring 2004 sabbatical semester worked on preparing a paper for publication 10. Courses taught this and last academic year term-by-term. This year is the academic year in which this Self-Study report is prepared; the last year was the year prior to this. If you were on sabbatical leave, please enter the information for the previous year. Please list each section of the same course separately. Term/yearCourse numberCourse titleSemester hrsClass sizeSP2007COMP 322Introduction to Operating Systems360SP2007COMP 322LIntroduction to Operating Systems Lab222SP2007COMP 322LIntroduction to Operating Systems Lab220SP2007COMP 322LIntroduction to Operating Systems Lab220SP2007COMP 410Logic Programming311FA2006COMP 322Introduction to Operating Systems351FA2006COMP 322LIntroduction to Operating Systems Lab218FA2006COMP 322LIntroduction to Operating Systems Lab219FA2006COMP 322LIntroduction to Operating Systems Lab216FA2006COMP 560Expert Systems38SP2006COMP 322Introduction to Operating Systems353SP2006COMP 322LIntroduction to Operating Systems Lab220SP2006COMP 322LIntroduction to Operating Systems Lab220SP2006COMP 322LIntroduction to Operating Systems Lab214SP2006COMP 469Artificial Intelligence315FA2005COMP 322Introduction to Operating Systems333FA2005COMP 322LIntroduction to Operating Systems Lab217FA2005COMP 322LIntroduction to Operating Systems Lab216FA2005COMP 450Societal Issues in Computing325 11. Other assigned duties performed during the academic year, with average hours per week. Indicate which, if any, carry extra compensation. If you are course coordinator for courses taught by other than full-time faculty, please indicate here which courses. 12. Number of students for which you serve as academic advisor: 23 13. Estimate the percentage of your time devoted to scholarly and/or research activities: _XXX____%. Please give a brief description of your major research and scholarly activities: Artificial Intelligence: Logic Programming and Expert Systems. 14. If you are not a full-time faculty member, state what percentage of full-time you work: _____%. Percentage of this time allocated to the computer science program being evaluated: _____%. 1. Name, current academic rank, and tenure status Eugean Hacopians, Part-time Lecturer, Non-tenure Track 2. Date of original appointment to this faculty, followed by dates and ranks of advancement 2001 Part-time Lecturer 3. Degrees with fields, institutions, and dates DegreeFieldInstitutionDateB.S.Computer ScienceCSU, Northridge1995M.S.Computer ScienceCSU, Northridge1997 4. If you do not have a formal degree in computer science, describe any course work you may have taken, or other ways in which you have achieved competence in computer science; there is no necessity to repeat information here which is contained in later sections of this document.  5. Conferences, workshops, and professional development programs in which you have participated in the last 5 years to improve teaching and professional competence in computer science  6. Other related computing experience including teaching, industrial, governmental, etc. (Where, when, description and scope of duties) 1992-present: full-time at Jet Propulsion Laboratory/California Institute of Technology, working on various projects including Mars Observer, Topex, Cassini and the Spitzer Space Observatory. Tasks include software development, design and testing, performing proof of concept analysis of science software, integration and testing and configuration management of mission sequencing software, operations network systems design and deployment; control of the hardware and software budget for the Spitzer project. Over 8 years of experience teaching computer science courses at Glendale Community College, Woodbury University and CSU, Northridge. 7. Consultinglist agencies and dates, and briefly describe each project none 8. Principal publications during the last five years. Give in standard bibliographic format. none 9. Other scholarly activity during the last 5 years: grants, sabbaticals, software development, etc. Work related software projects. 10. Courses taught this and last academic year term-by-term. This year is the academic year in which this Self-Study report is prepared; the last year was the year prior to this. If you were on sabbatical leave, please enter the information for the previous year. Please list each section of the same course separately. Term/yearCourse numberCourse titleSemester hrsClass sizeSP2007COMP 380/LIntroduction to Software Engineering/Lab311FA2005COMP 380/LIntroduction to Software Engineering/Lab319SP2005COMP 380/LIntroduction to Software Engineering/Lab319 11. Other assigned duties performed during the academic year, with average hours per week. Indicate which, if any, carry extra compensation. If you are course coordinator for courses taught by other than full-time faculty, please indicate here which courses. 12. Number of students for which you serve as academic advisor: 0 13. Estimate the percentage of your time devoted to scholarly and/or research activities: 0%. Please give a brief description of your major research and scholarly activities:  14. If you are not a full-time faculty member, state what percentage of full-time you work: 20%. Percentage of this time allocated to the computer science program being evaluated: 100%. 1. Name, current academic rank, and tenure status George Lazik, Part-time Lecturer, Non-tenure Track 2. Date of original appointment to this faculty, followed by dates and ranks of advancement 1976-1980 Assistant Professor, Probationary 2001 Part-time Lecturer 3. Degrees with fields, institutions, and dates DegreeFieldInstitutionDateB.S.EEIllinois Institute of Technology1963M.S.EEUniversity of Michigan1964Ph.D.EEUniversity of Michigan1970 4. If you do not have a formal degree in computer science, describe any course work you may have taken, or other ways in which you have achieved competence in computer science; there is no necessity to repeat information here which is contained in later sections of this document. Bell Telephone Laboratories: Member of Technical Staff, Computer Systems; Weizmann Institute of Technology: Associated Professor (Level), Applied Mathematics and Computer Science; President, Founder and Director of Computer Science Laboratory; CEO and Founder: Chatcom Inc., Computer Systems and Software 5. Conferences, workshops, and professional development programs in which you have participated in the last 5 years to improve teaching and professional competence in computer science SIGGRAPH, Rhino3D symposiums, SolidWorks training sessions, various professional presentations. 6. Other related computing experience including teaching, industrial, governmental, etc. (Where, when, description and scope of duties) Bell Telephone Laboratories: Member of Technical Staff, Computer Systems Weizmann Institute of Technology: Associated Professor (Level), Applied Mathematics and Computer Science; President, CEO and Founder: ChatCom Inc., Computer Systems and Software, Consultant to numerous Fortune 100 companies. 7. Consultinglist agencies and dates, and briefly describe each project Lockheed Martin Skunk Works: Modeling and Design (multiple projects over past 10 years) USAF, US Army: Numerous projects of which I am not free to discuss. Numerous Fortune 100 companies in computer systems. 8. Principal publications during the last five years. Give in standard bibliographic format. none 9. Other scholarly activity during the last 5 years: grants, sabbaticals, software development, etc. none 10. Courses taught this and last academic year term-by-term. This year is the academic year in which this Self-Study report is prepared; the last year was the year prior to this. If you were on sabbatical leave, please enter the information for the previous year. Please list each section of the same course separately. Term/yearCourse numberCourse titleSemester hrsClass sizeSP2007COMP 100Computers: Their Impact and Use332FA2006COMP 465/LComputer Graphics Systems and Design/Lab412FA2006COMP 100Computers: Their Impact and Use 332FA2005COMP 465/LComputer Graphics Systems and Design/Lab424 11. Other assigned duties performed during the academic year, with average hours per week. Indicate which, if any, carry extra compensation. If you are course coordinator for courses taught by other than full-time faculty, please indicate here which courses. 12. Number of students for which you serve as academic advisor: 0 13. Estimate the percentage of your time devoted to scholarly and/or research activities: 0%. Please give a brief description of your major research and scholarly activities:  14. If you are not a full-time faculty member, state what percentage of full-time you work: 85%. Percentage of this time allocated to the computer science program being evaluated: 25%. 1. Name, current academic rank, and tenure status Robert W. Lingard, Associate Professor, Tenured 2. Date of original appointment to this faculty, followed by dates and ranks of advancement 1994 Part-time Lecturer 1997 Assistant Professor, Tenured (Awarded promotion to Full Professor effective 2007-08 academic year.) 3. Degrees with fields, institutions, and dates DegreeFieldInstitutionDateB.A.MathematicsUniversity of California, Los Angeles1963M.A.MathematicsUniversity of California, Los Angeles1965M.S.Computer ScienceUniversity of Southern California1970Ph.D.Computer ScienceUniversity of Southern California1975 4. If you do not have a formal degree in computer science, describe any course work you may have taken, or other ways in which you have achieved competence in computer science; there is no necessity to repeat information here which is contained in later sections of this document.  5. Conferences, workshops, and professional development programs in which you have participated in the last 5 years to improve teaching and professional competence in computer science 2006: The Scholarship of Teaching, Learning and Assessment: Connections that Work, CSU Northridge 2005, 2004, 2003, 2002: ASEE/IEEE Frontiers in Education Conference 2002: American Society for Engineering Education Annual Conference & Exposition 2002: Community Service Summit, CSU Northridge 2002: Engaged Pedagogy Seminar, Center for Excellence in Learning and Teaching, CSU Northridge 6. Other related computing experience including teaching, industrial, governmental, etc. (Where, when, description and scope of duties) 1991-1993, Director of Development, Advanced Computing Systems Company, Los Angeles, CA: Managed the development and research related to systems software. 1981-1991, Director/Researcher, CADAM INC, An IBM Company, Burbank, CA: Managed development and research related to CAD/CAM software. 1979-1984, Part-Time Lecturer, Computer Science Department, California State University, Northridge, CA: Taught undergraduate courses in computer science. 1978-1981, Member of the Research Staff, USC/Information Sciences Institute, Marina del Rey, CA: Conducted artificial intelligence research. 1975-1977, Part-Time Lecturer, Computer Science Department, University of Southern California, Los Angeles, CA: Taught undergraduate courses in computer science. 1963-1978, Computer Programmer/Supervisor/Researcher, Scientific Computing Division, Lockheed-California Company, Burbank, CA: Developed and managed software development and conducted software applications research. 7. Consultinglist agencies and dates, and briefly describe each project  8. Principal publications during the last five years. Give in standard bibliographic format. Lingard, R., B. Timmerman and E. Berry. "Using the Kolbe Conative Index"! for Improving Retention of Computer Science Students, Proceedings 35th ASEE/IEEE Frontiers in Education Conference. Indianapolis, IN, October 2004. Lingard, R., E. Berry and B. Timmerman. "Work in Progress  Using the Kolbe Conative Index"! for Improving Retention of Computer Science Students, Proceedings 34th ASEE/IEEE Frontiers in Education Conference. Savannah, GA, October 2004. Timmerman, B. and R. Lingard, "Assessment of Active Learning with Upper Division Computer Science Students, Proceedings 33rd ASEE/IEEE Frontiers in Education Conference. Boulder, CO, November 2003. Lingard, R. and E. Berry. "Teaching Teamwork Skills in Software Engineering Based on an Understanding of Factors Affecting Group Performance, Proceedings. 32nd ASEE/IEEE Frontiers in Education Conference. Boston, MA, November 2002. Lingard, R., R. Madison, and G. Melara, "Assessing the Effectiveness of Computer Literacy Courses, Proceedings 2002 American Society for Engineering Education Annual Conference & Exposition. Montreal, Canada, June 2002. 9. Other scholarly activity during the last 5 years: grants, sabbaticals, software development, etc. 2004, Judge Julian Beck Instructional Development grant to develop a new course on engineering secure software. 2003, Sabbatical to develop masters program in software engineering. 10. Courses taught this and last academic year term-by-term. This year is the academic year in which this Self-Study report is prepared; the last year was the year prior to this. If you were on sabbatical leave, please enter the information for the previous year. Please list each section of the same course separately. Term/yearCourse numberCourse titleSemester hrsClass sizeSP2007COMP 480/LSoftware System Development/Lab48SP2007COMP 682Software Requirements Analysis318FA2006COMP 232 Concepts of Programming Languages326FA2006COMP 595VAVSoftware Verification and Validation310FA2006COMP 696CDirected Graduate Research12SP2006COMP 110/LIntroduction to Programming/Lab56SP2006COMP 480/LSoftware System Development/Lab411SP2006COMP 696CDirected Graduate Research12FA2005COMP 595VAVSoftware Verification and Validation325FA2005COMP 698CThesis Graduate Project.51 11. Other assigned duties performed during the academic year, with average hours per week. Indicate which, if any, carry extra compensation. If you are course coordinator for courses taught by other than full-time faculty, please indicate here which courses. Coordination of the departments assessment activities: 10 hours/week 12. Number of students for which you serve as academic advisor: 17. 13. Estimate the percentage of your time devoted to scholarly and/or research activities: 20%. Please give a brief description of your major research and scholarly activities: Study of teaching techniques that facilitate student understanding and the assessment of student learning 14. If you are not a full-time faculty member, state what percentage of full-time you work: _____%. Percentage of this time allocated to the computer science program being evaluated: _____%. 1. Name, current academic rank, and tenure status Richard Lorentz, Professor, Tenured 2. Date of original appointment to this faculty, followed by dates and ranks of advancement 1987 Assistant Professor, Probationary 1990 Associate Professor 1992 Tenured 1995 Full Professor 3. Degrees with fields, institutions, and dates DegreeFieldInstitutionDateB.A.MathematicsClaremont McKenna College1975Ph.D.Computer ScienceWashington State University1980 4. If you do not have a formal degree in computer science, describe any course work you may have taken, or other ways in which you have achieved competence in computer science; there is no necessity to repeat information here which is contained in later sections of this document.  5. Conferences, workshops, and professional development programs in which you have participated in the last 5 years to improve teaching and professional competence in computer science None. 6. Other related computing experience including teaching, industrial, governmental, etc. (Where, when, description and scope of duties) None. 7. Consultinglist agencies and dates, and briefly describe each project None. 8. Principal publications during the last five years. Give in standard bibliographic format. Karapetyan, A. and R. Lorentz.  SEQ CHAPTER \h \r 1Generating an Opening Book for Amazons. Computers and Games, 4th International Conference. CG 2004, volume 3846 of Lecture Notes in Computer Science, Springer-Verlag New York, Inc., 2004. Finding Territory in Amazons. Seventh Computer Olympiad Computer-Games Workshop. Maastricht, The Netherlands, July, 2002. Avetisyan, H. and R. Lorentz. Selective Search in an Amazons Program. Computers and Games, Third International Conference. CG 2002, volume 2883 of Lecture Notes in Computer Science, pages 123-141, Springer-Verlag New York, Inc., 2002 Frank, I., Marsland, T., and R. Lorentz. Creating Difficult Instances of the Post Correspondence Problem. Proceedings of the Second International Conference on Computers and Games. CG00, volume 2063 of Lecture Notes in Computer Science, pages 214-228, Springer-Verlag New York, Inc., 2001.  9. Other scholarly activity during the last 5 years: grants, sabbaticals, software development, etc. Entered the amazons playing program (Invader) in the 7th, 8th, 9th, and 10th International Computer Olympiads held in Maastricht, Maastricht, Graz, and Taipei respectively. 10. Courses taught this and last academic year term-by-term. This year is the academic year in which this Self-Study report is prepared; the last year was the year prior to this. If you were on sabbatical leave, please enter the information for the previous year. Please list each section of the same course separately. Term/yearCourse numberCourse titleSemester hrsClass sizeSP2007COMP 310Automata, Languages, and Computation321SP2007COMP 310Automata, Languages, and Computation318SP2007COMP 696CDirected Graduate Research1.53SP2007COMP 698CThesis Graduate Project0.51FA2006COMP 282Advanced Data Structures328FA2006COMP 282Advanced Data Structures329FA2006COMP 615Advanced Topics in Computation Theory318FA2006COMP 696ADirected Graduate Research.51FA2006COMP 696CDirected Graduate Research1.53FA2006COMP 698CThesis Graduate Project1.53SP2006COMP 282Advanced Data Structures322SP2006COMP 610Data Structures and Algorithms314SP2006COMP 696CDirected Graduate Research12SP2006COMP 698CThesis Graduate Project0.51FA2005COMP 282Advanced Data Structures325FA2005COMP 310Automata, Languages, and Computation312FA2005COMP 310Automata, Languages, and Computation317FA2005COMP 696CDirected Graduate Research12FA2005COMP 698CThesis Graduate Project0.51 11. Other assigned duties performed during the academic year, with average hours per week. Indicate which, if any, carry extra compensation. If you are course coordinator for courses taught by other than full-time faculty, please indicate here which courses. Graduate coordinator: responsible for admitting new graduate students and advising same throughout their academic career, about 6 hours per week, 3 units release time.  12. Number of students for which you serve as academic advisor: 60 13. Estimate the percentage of your time devoted to scholarly and/or research activities: 25%. Please give a brief description of your major research and scholarly activities: Programming games of skill, especially Go and Amazons. 14. If you are not a full-time faculty member, state what percentage of full-time you work: _____%. Percentage of this time allocated to the computer science program being evaluated: _____%. 1. Name, current academic rank, and tenure status Robert McIlhenny, Assistant professor, Tenured 2. Date of original appointment to this faculty, followed by dates and ranks of advancement 1999 Part-time Lecturer 2001 Assistant Professor, Probationary (Awarded tenure and promotion to Associate Professor effective 2007-08 academic year.) 3. Degrees with fields, institutions, and dates DegreeFieldInstitutionDateB.S.Information and Computer ScienceUniversity of California, IrvineJune 1993M.S.Computer ScienceUniversity of California, Los AngelesJune 1996Ph.D.Computer ScienceUniversity of California, Los AngelesJune 2002 4. If you do not have a formal degree in computer science, describe any course work you may have taken, or other ways in which you have achieved competence in computer science; there is no necessity to repeat information here which is contained in later sections of this document. N/A 5. Conferences, workshops, and professional development programs in which you have participated in the last 5 years to improve teaching and professional competence in computer science 2001, 2004, 2005, 2006: Asilomar Conference on Signals, Systems, and Computers 2005: IEEE Symposium on Field-Programming Custom Computing Machines (FCCM) 6. Other related computing experience including teaching, industrial, governmental, etc. (Where, when, description and scope of duties) N/A 7. Consultinglist agencies and dates, and briefly describe each project N/A 8. Principal publications during the last five years. Give in standard bibliographic format. R. McIlhenny and M.D. Ercegovac. On the Design of a Complex Householder Transform. 40th Asilomar Conference on Signals, Systems, and Computers. 2006. R. McIlhenny and M.D. Ercegovac. On the Design of an On-line Complex Matrix Inversion Unit. 39th Asilomar Conference on Signals, Systems, and Computers. 2005. R. McIlhenny and M.D. Ercegovac. RAVIOLIa library of Reconfigurable Arithmetic Variable-precision Implementations of On-Line Instructions. IEEE Symposium on Field-Programmable Custom Computing Machines. 2005. R. McIlhenny and M.D. Ercegovac. On the Design of an On-line Complex FIR Filter. 38th Asilomar Conference on Signals, Systems, and Computers. 2004. R. McIlhenny and M.D. Ercegovac. On the Design of an On-line Complex Givens Rotation. 35th Asilomar Conference on Signals, Systems, and Computers. 2001 9. Other scholarly activity during the last 5 years: grants, sabbaticals, software development, etc. N/A 10. Courses taught this and last academic year term-by-term. This year is the academic year in which this Self-Study report is prepared; the last year was the year prior to this. If you were on sabbatical leave, please enter the information for the previous year. Please list each section of the same course separately. Term/yearCourse numberCourse titleSemester hrsClass sizeSP2007COMP 222Computer Organization326SP2007COMP 450Societal Issues in Computing326SP2007COMP 450Societal Issues322FA2006COMP 222Computer Organization326FA2006COMP 222Computer Organization332FA2006COMP 620Computer Systems Architecture325FA2006COMP 698CThesis Graduate Project0.51SP2006COMP 222Computer Organization328SP2006COMP 222Computer Organization317SP2006COMP 450Societal Issues in Computing329SP2006COMP 696ADirected Graduate Research0.51SP2006COMP 696CDirected Graduate Research0.51FA2005COMP 222Computer Organization331FA2005COMP 222Computer Organization325FA2005COMP 620Computer Systems Architecture322FA2005COMP 696CDirected Graduate Research0.51FA2005COMP 698CThesis Graduate Project0.51 11. Other assigned duties performed during the academic year, with average hours per week. Indicate which, if any, carry extra compensation. If you are course coordinator for courses taught by other than full-time faculty, please indicate here which courses. 12. Number of students for which you serve as academic advisor: 17 13. Estimate the percentage of your time devoted to scholarly and/or research activities: 10%. Please give a brief description of your major research and scholarly activities: Major research in the area of Parallel Computing with emphasis on Computer Arithmetic 14. If you are not a full-time faculty member, state what percentage of full-time you work: _____%. Percentage of this time allocated to the computer science program being evaluated: _____%. 1. Name, current academic rank, and tenure status Gloria E. Melara, Professor, Tenured  2. Date of original appointment to this faculty, followed by dates and ranks of advancement 1985 Full-time Lecturer 1990 Assistant Professor, Probationary 1996 Associate Professor, Tenured 2002 Full Professor  3. Degrees with fields, institutions, and dates DegreeFieldInstitutionDateB.S.MathUniversidad Nacional de El Salvador1978M.A.Educ MathWestern Michigan University1980M.S.CSWestern Michigan University1983Ph.D.ITUniversity of Southern California1994 4. If you do not have a formal degree in computer science, describe any course work you may have taken, or other ways in which you have achieved competence in computer science; there is no necessity to repeat information here which is contained in later sections of this document.  5. Conferences, workshops, and professional development programs in which you have participated in the last 5 years to improve teaching and professional competence in computer science 2004: SIGGRAPH exhibits 2002, 2003: SIGSE conferences 6. Other related computing experience including teaching, industrial, governmental, etc. (Where, when, description and scope of duties) 2000 - 2001, RISE project. Work with four transfer students, mentoring research projects to introduce students to science and engineering research. 1999 - present, Honors CO-OP faculty visitation. Visiting students and their supervisors at their place of employment. 7. Consultinglist agencies and dates, and briefly describe each project 2004 2005: Universidad Pontificia de Salamanca, Campus Madrid. Formation of the doctorate program Computer Engineering. On going advising of assessment  8. Principal publications during the last five years. Give in standard bibliographic format. Barroso, Porfirio and Gloria Melara. The teaching of Computer Ethics in the State of California, USA. ETHICOMP Seventh International Conference on Computer Ethics. 2004. Lingard, Robert, Roberta Madison, and Gloria Melara. "Assessing the Effectiveness of Computer Literacy Courses." 2002 ASEE Annual Conference, Multimedia Division. 2002. "Teaching Using Off-The-Shelf On-Line Materials." 31st SIGCSE Technical Symposium on Computer Science Education. 2001. "Are freshman students ready for Community Service." Presentation at California State University Northridge Retreat. 2001. 9. Other scholarly activity during the last 5 years: grants, sabbaticals, software development, etc. 2006 review one book Multimedia Past, Present and Future 2005, reviewer panelist SIGSE conference 2005, review of two books Concepts of Programming Languages and Fundamentals of Digital Media 2004 Guest lecture (two periods of three hours) at the Universidad Pontificia de Salamanca, campus de Madrid, Spain. Topic of Development of Professional Ethics to the doctoral program of Engineering of Informatics, supporting documents at http://www.ecs.csun.edu/~gem/Spain/Apoyo 2004, Guest lecture at the Universidad Complutense de Madrid, and at the Universidad Pontificia de Salamanca, campus Madrid, Spain. Topic of Professional Ethics applied to Informatics to junior students. Sabbatical Spring 2004. 10. Courses taught this and last academic year term-by-term. This year is the academic year in which this Self-Study report is prepared; the last year was the year prior to this. If you were on sabbatical leave, please enter the information for the previous year. Please list each section of the same course separately. Term/yearCourse numberCourse titleSemester hrsClass sizeSP2007COMP 232Concepts of Programming Language318SP2007COMP 232Concepts of Programming Language326SP2007COMP 485Human Computer Interaction325FA2006COMP 467Multimedia System316FA2006COMP 467Multimedia System315FA2006COMP 232Concepts of Programming Language327FA2006COMP 696CDir Grad Research0.51FA2006COMP 465LGraph Sys/DSN Lab212SS2006COMP 100Computer Impact and Uses327SP2006COMP 100Computer Impact and Uses330SP2006COMP 232Concepts of Programming Language319SP2006COMP 232Concepts of Programming Language324SP2006COMP 485Human Computer Interaction326FA2005COMP 232Concepts of Programming Language319FA 2005COMP 232Concepts of Programming Language316FA 2005COMP 496MCMultimedia Computer320 11. Other assigned duties performed during the academic year, with average hours per week. Indicate which, if any, carry extra compensation. If you are course coordinator for courses taught by other than full-time faculty, please indicate here which courses. CELT advisory Committee (20 hours per semester) Academic Technology Council (4 hours per month) COMP465/L course coordinator Assessment coordinator (COMP232, COMP310) (20 hours per semester)  12. Number of students for which you serve as academic advisor: 20 13. Estimate the percentage of your time devoted to scholarly and/or research activities: 30%. Please give a brief description of your major research and scholarly activities: Ethics: papers presented at ETHICOMP during 2004 and 2005. Multimedia: Updating course material/ book review Human Computing Interaction: Updating course material 14. If you are not a full-time faculty member, state what percentage of full-time you work: ____%. Percentage of this time allocated to the computer science program being evaluated: ____%. 1. Name, current academic rank, and tenure status John Noga, Assistant Professor, Tenure-track 2. Date of original appointment to this faculty, followed by dates and ranks of advancement 2001 Assistant Professor, Probationary (Awarded tenure and promotion to Associate Professor effective 2007-08 academic year.) 3. Degrees with fields, institutions, and dates DegreeFieldInstitutionDateB.S.MathematicsTruman State University1991M.S.Applied MathematicsUniversity of California, Riverside1992Ph.D.MathematicsUniversity of California, Riverside1998 4. If you do not have a formal degree in computer science, describe any course work you may have taken, or other ways in which you have achieved competence in computer science; there is no necessity to repeat information here which is contained in later sections of this document. Ive taken introductory programming courses (using Fortran and Pascal). Ive taken upper division courses including Modeling and Simulation (using C and Simscript) and Numerical Analysis. Ive taken graduate level courses including Advanced Algorithms, Automata Theory, and numerous seminars on areas in Algorithms. My PhD research and was in the area of Theoretical Computer Science and supervised by a Computer Science professor. My current research is routinely published in Computer Science journals and conference proceedings. Ive attended numerous Computer Science research conferences. Ive attended 2 workshops on teaching Computer Security.  5. Conferences, workshops, and professional development programs in which you have participated in the last 5 years to improve teaching and professional competence in computer science 2005: International Symposium on Parallel Algorithms, Architectures, and Networks 2005: ACM SIGCSE: Technical Symposium on Computer Science Education 2004: Information Assurance Symposium (Cal Poly Pomona) 2004: Scandinavian Workshop on Algorithms and Theory 6. Other related computing experience including teaching, industrial, governmental, etc. (Where, when, description and scope of duties)  7. Consultinglist agencies and dates, and briefly describe each project  8. Principal publications during the last five years. Give in standard bibliographic format. Chrobak, Marek, Claire Kenyon, John Noga, and Neil Young. Incremental medians via online bidding. Proceedings 7th Latin American Theoretical Informatics Symposium. 2006: 311-322. Noga, John and Veerawan Sarbua. An online partially fractional knapsack problem. Proceedings 8th International Symposium on Parallel Architectures, Algorithms, and Networks. 2005: 94-99. Bein, Wolfgang, Lawrence Larmore, and John Noga. A better algorithm for uniform metrical task systems with few states. Proceedings 8th International Symposium on Parallel Algorithms, Architectures, and Networks. 2005: 108-112. Ebenlendr, Tomas, John Noga, Jiri Sgall, and Gerhard Woeginger. A note on semi-online machine covering. Proceedings 3rd Workshop on Approximation and Online Algorithms. 2005: 110-118. Bein, Wolfgang, Kazuo Iwama, Lawrence Larmore, and John Noga. The delayed k-server problem. Proceedings 15 International Symposium on the Foundations of Computation Theory. 2005: 281-292. Barnes, Michael, John Noga, Peter Smith, and Jeff Wiegley. Experiments with balanced-sample binary trees. Proceedings 36 SIGCSE: Technical Symposium on Computer Science Education. 2005: 166-170. Bein, Wolfgang, Leah Epstein, Lawrence Larmore, and John Noga. Optimally competitive list batching. Proceedings 9th Scandanavian Workshop on Algorithm Theory. 2004: 77-89. Frederiksen, Jens, Kim Larsen, John Noga, and Patchrawat Uthaisombut Dynamic TCP acknowledgment in the LogP model. Journal of Algorithms. 2003: 48, 407-428. Chrobak, Marek, Elias Koutsoupias, and John Noga. More on randomized online algorithms for caching: simplicity vs competitiveness. Theoretical Computer Science 290(3): 1997-2008 . 2003. Chrobak, Marek, Leah Epstein, John Noga, Jiri Sgall, Rob van Stee, Tomas Tichy, and Nodari Vakhania. Preemptive scheduling in overloaded systems. Journal of Computer and System Sciences 67. 2003: 183-197. 9. Other scholarly activity during the last 5 years: grants, sabbaticals, software development, etc.  10. Courses taught this and last academic year term-by-term. This year is the academic year in which this Self-Study report is prepared; the last year was the year prior to this. If you were on sabbatical leave, please enter the information for the previous year. Please list each section of the same course separately. Term/yearCourse numberCourse titleSemester hrsClass sizeSP2007COMP 610Data Structures & Algorithms324SP2007COMP 182/LData Structures & Program Design/Lab517SP2007COMP 696CDirected Graduate Research0.51FA2006COMP 110/LIntro to Algorithms & Programming/Lab525FA2006COMP 110/LIntro. to Algorithms & Programming/Lab527FA2006COMP 696CDirected Graduate Research0.51FA2006COMP 698CThesis Graduate Project 0.51SP2006COMP 182/LData Structures & Program Design/Lab525SP2006COMP 424Computer System Security324SP2006COMP 696ADirected Graduate Research0.51SP2006COMP 696CDirected Graduate Research0.51FA2005COMP 182/LData Structures & Program Design/Lab520FA2005COMP 424Computer System Security322FA2005COMP 429Computer Network Software327FA2005COMP 698CThesis Graduate Project0.51 11. Other assigned duties performed during the academic year, with average hours per week. Indicate which, if any, carry extra compensation. If you are course coordinator for courses taught by other than full-time faculty, please indicate here which courses. Student chapter of ACM advisor (3), Supervise lab assistants (1) I am getting some release time during the spring semester to cover this work.  12. Number of students for which you serve as academic advisor: 20 13. Estimate the percentage of your time devoted to scholarly and/or research activities: 10%. Please give a brief description of your major research and scholarly activities: I research the design and analysis of algorithms.  14. If you are not a full-time faculty member, state what percentage of full-time you work: _____%. Percentage of this time allocated to the computer science program being evaluated: _____%. 1. Name, current academic rank, and tenure status Son Pham, Professor, Tenured 2. Date of original appointment to this faculty, followed by dates and ranks of advancement 1985 Associate Professor, Probationary 1989 Full Professor, Tenured 3. Degrees with fields, institutions, and dates DegreeFieldInstitutionDateB.S.MathUniversity of Saigon1973M.A.MathUniversity of Louisville1975Ph.D.Stat & MathUniversity of Cincinnati1978 4. If you do not have a formal degree in computer science, describe any course work you may have taken, or other ways in which you have achieved competence in computer science; there is no necessity to repeat information here which is contained in later sections of this document. Took at UC Berkeley: Data Structures, Digital Design, Operating Systems, Compiler Design, Circuit Design. Trained in Prime Computer Operating System at Prime Computer. Researched in Coding Theory and published 5 papers with other faculty members in computer science. Researched in computer graphics; publishing 5 papers. 5. Conferences, workshops, and professional development programs in which you have participated in the last 5 years to improve teaching and professional competence in computer science 2006: WORLDCOMP'06: Paper: Freeware-Based Development Projects As a Learning Framework for Upper-Division Database Course (co-author with Dr. Covington) 2005: COMPUTER_CONFERENCE_GREECE Paper: Group-By Early in Optimization 2004: Patent Applied: Parsing Using An Object-Oriented Database (via NCR)  6. Other related computing experience including teaching, industrial, governmental, etc. (Where, when, description and scope of duties) 1974-1978: University of South Florida, Tampa, Florida Assistant Professor and Lab Developer, teaching computer courses in: PL/I, FORTRAN, Algorithms and Design. Designed and installed a large laboratory of 50 PCs in network with a Prime server. Maintained the Prime system and wrote up/down load utilities. Developed a full package for bookkeeping expenditures using FORTRAN. 7. Consultinglist agencies and dates, and briefly describe each project 1994-1997: Consultant, Multi-Database System Services, Gardena, CA Trained employees in DBMS, Access, and Visual Basic; Design Database system: Tables and Linkage; Suggested the systems suitable for specialized database systems. 1996-1997, Project Developer, INCOMM, Los Angeles, CA Developed an archived client/server system: VB 4 and Sybase; Designed and implemented a security using stored procedures; Fully analyzed the time frame and workload of several projects. 1996-1997, Project Consultant, CSUN Foundation, Northridge, CA Set up a new DB system to trace the Alumni members; Set up output from a database for Cobol; Suggested and implemented the database tables. Summary: Data from unconventional format is linked and converted to the well- structured data so that it can be imported in a current Cobol DBMS. 1997-1997, Project Developer, Northrop Grumman, Hawthorne, CA Install a client/server system: HP9000, Informix 7.23, Peoplesoft 7.0. Install network connection between Window 95/NT and Unix. A complete system is installed with Peoplesoft software to be reconfigured to be used by Storage, Inc. for its own database. 8. Principal publications during the last five years. Give in standard bibliographic format. Pham, S., and R. Covington. Freeware-Based Development Projects As a Learning Framework for Upper-Division Database Course. 2006 International Conference on Frontiers in Education: Computer Science and Computer Engineering (FECS'06). Las Vegas, NV, June 2006. 9. Other scholarly activity during the last 5 years: grants, sabbaticals, software development, etc. 2001-2003: Providing a join plan using group-by operator: Filed: September 28, 2001, Approved: April 24, 2003 US Patent # 20030078922 2001-2003: Eliminating group-by operations in a join plan. Filed: September 27, 2002, Approved: April 24, 2003 US Patent # 20030078909 10. Courses taught this and last academic year term-by-term. This year is the academic year in which this Self-Study report is prepared; the last year was the year prior to this. If you were on sabbatical leave, please enter the information for the previous year. Please list each section of the same course separately. Term/yearCourse numberCourse titleSemester hrsClass sizeSP2007COMP 122/LComputer Architecture and Assembly Language/Lab320SP2007COMP 122/LComputer Architecture and Assembly Language/Lab318SP2007COMP 598ADBAdvanced Database System38FA2006COMP 122/LComputer Architecture and Assembly Language/Lab314FA2006COMP 122/LComputer Architecture and Assembly Language/Lab326FA2006COMP 440Database Design325FA2006COMP 696CDirected Graduate Research0.51FA2006COMP 698CThesis Graduate Project0.51SP2006COMP 122/LComputer Architecture and Assembly Language/Lab325SP2006COMP 122/LComputer Architecture and Assembly Language/Lab319SP2006COMP 598ADBAdvanced Database System315SP 2006COMP 696CDirected Graduate Research0.51FA2005COMP 100Computers: Their Impact and Use331FA2005COMP 100Computers: Their Impact and Use334FA2005COMP 122/LComputer Architecture and Assembly Language/Lab325FA2005COMP 122/LComputer Architecture and Assembly Language/Lab327FA2005COMP 440Database Design315 11. Other assigned duties performed during the academic year, with average hours per week. Indicate which, if any, carry extra compensation. If you are course coordinator for courses taught by other than full-time faculty, please indicate here which courses. 12. Number of students for which you serve as academic advisor: 10 13. Estimate the percentage of your time devoted to scholarly and/or research activities: 50%. Please give a brief description of your major research and scholarly activities: Database research on optimization; Compiler design on the natural languages using Unicode via ASCII keyboard. 14. If you are not a full-time faculty member, state what percentage of full-time you work: _____%. Percentage of this time allocated to the computer science program being evaluated: _____%. 1. Name, current academic rank, and tenure status Diane Schwartz, Professor, Tenured 2. Date of original appointment to this faculty, followed by dates and ranks of advancement 1979 Full-time Lecturer (at Assistant Professor Level) 1980 Associate Professor, Probationary 1982 Tenured 1983 Full Professor  3. Degrees with fields, institutions, and dates DegreeFieldInstitutionDateB.A.MathematicsUniversity of California, Berkeley1966M.A.MathematicsUniversity of California, Los Angeles1971Ph.D.MathematicsUniversity of California, Los Angeles1975 4. If you do not have a formal degree in computer science, describe any course work you may have taken, or other ways in which you have achieved competence in computer science; there is no necessity to repeat information here which is contained in later sections of this document. Worked on computer applications in industry from 1977-1985. Applications included statistics, operations research, simulation, user interface design, autonomous vehicles feasibility, and finger print automation studies). Thereafter, I taught a wide variety of courses in the department and diligently prepared for them. 5. Conferences, workshops, and professional development programs in which you have participated in the last 5 years to improve teaching and professional competence in computer science Attended ACM SIGCSE Conferences. Regularly participated in campus workshops on teaching and learning and assessment. Attended the 2006 Provost Professional Development Series. SIGCSE Reviewer 1999- present 6. Other related computing experience including teaching, industrial, governmental, etc. (Where, when, description and scope of duties) 19751977 Lecturer, University of Southern California 19771984 Jet Propulsion Laboratory (full-time and part-time). Worked on computer applications in industry from 1977- 1985. Applications included statistics, operations research, simulation, user interface design, autonomous vehicles feasibility, fingerprint automation studies). 7. Consultinglist agencies and dates, and briefly describe each project 19851986 Jet Propulsion Laboratory, reliability analysis of the space shuttle main engine. 8. Principal publications during the last five years. Give in standard bibliographic format.  9. Other scholarly activity during the last 5 years: grants, sabbaticals, software development, etc. Software Development: Developed a straight forward database to record and track notes from meetings with freshman advisees. Review of literature: For class preparation and general knowledge I regularly read journals and new books. 10. Courses taught this and last academic year term-by-term. This year is the academic year in which this Self-Study report is prepared; the last year was the year prior to this. If you were on sabbatical leave, please enter the information for the previous year. Please list each section of the same course separately. Term/yearCourse numberCourse titleSemester hrsClass sizeSP2007COMP 282Advanced Data Structures321SP2007COMP 282Advanced Data Structures326FA2006COMP 182/LData Structures and Program Design and Lab513FA2006COMP 380/LIntroduction to Software Engineering/Lab412SP2006COMP 450Societal Issues in Computing315FA2005COMP 182/LData Structures and Program Design/Lab518 11. Other assigned duties performed during the academic year, with average hours per week. Indicate which, if any, carry extra compensation. If you are course coordinator for courses taught by other than full-time faculty, please indicate here which courses. 2005-2006 Chair, University Educational Policies Committee (6 units annual reassigned time; 12 hours per week) Department Freshman Advisor (6 units annual reassigned time, 2 hours per week) ABET 2007 Report Planning (3 units annual reassigned time, 1 hour per week ) Developmental Math Advisory Committee Chair (0.5 hours per week) Department Assessment Activities (2 hours per week) Secretary-Treasurer of the Faculty Senate (2 hours per week) Chair, Department Personnel Committee (2 hours per week) 2006-2007 Department Freshman Advisor (3 units annual reassigned time; 1 hour per week) ABET Report (6 units annual reassigned time; 4 hours per week) Member of Educational Policies Committee (4 hours per week) Developmental Math Advisory Committee Chair (0.5 hours per week) Department Assessment Activities (1 hour per week) Secretary-Treasurer of the Faculty Senate (2 hours per week) Department Personnel Committee (0.5 hours per week)  12. Number of students for which you serve as academic advisor: I am the nominal advisor for all of the freshman students ( About 150). However, the College Student Services Center handles most of the actual one-on one advisement. 13. Estimate the percentage of your time devoted to scholarly and/or research activities: 10%. Please give a brief description of your major research and scholarly activities: My current scholarly interests, beyond classroom teaching, are random algorithms and software engineering. 14. If you are not a full-time faculty member, state what percentage of full-time you work: _____%. Percentage of this time allocated to the computer science program being evaluated: _____%. 1. Name, current academic rank, and tenure status Brenda Timmerman, Associate Professor, Tenured 2. Date of original appointment to this faculty, followed by dates and ranks of advancement 1998 Full-time Lecturer 1999 Assistant Professor, Probationary 2005 Associate Professor, Tenured 3. Degrees with fields, institutions, and dates DegreeFieldInstitutionDateB.A.MathUniversity of Wisconsin1959M.A.MathUniversity of Wisconsin1962M.S.Computer ScienceCalifornia State University Northridge1991Ph.D.Computer ScienceUniversity of Southern California1997 4. If you do not have a formal degree in computer science, describe any course work you may have taken, or other ways in which you have achieved competence in computer science; there is no necessity to repeat information here which is contained in later sections of this document.  5. Conferences, workshops, and professional development programs in which you have participated in the last 5 years to improve teaching and professional competence in computer science 2001, 2003, 2004, 2005: ASEE/IEEE Frontiers in Education (FIE) Conference 2001: ACM New Security Paradigm Workshop 2001 Program Committee, Co-Chair  6. Other related computing experience including teaching, industrial, governmental, etc. (Where, when, description and scope of duties) 2001-2003: Information Security Officer, ISO, for California State University Northridge Oversaw campus computer network security under the direction of the Chief Information Officer (CIO) and in concert with the Chief Technology Officer (CTO). Collaborated with the CTO on the development of a campus wide security policy and new IT security policies.  7. Consultinglist agencies and dates, and briefly describe each project  8. Principal publications during the last five years. Give in standard bibliographic format. Berry, Elizabeth, Robert Lingard and Brenda Timmerman.  Using the Kolbe A"! Conative Index to Study the Improved Retention of Computer Science Students. Proceedings of ASEE/IEEE Frontiers in Education (FIE) Conference. Indianapolis, Indiana, Oct. 2005. Lingard, Robert and Brenda Timmerman. "Evaluation of Experiments with Active Learning for Upper Division Computer Science Students." Proceedings of ASEE/IEEE Frontiers in Education (FIE) Conference. Boulder, Colorado, Nov. 2003. Barnes, G. Michael, Robert Lingard and Brenda Timmerman. Active Learning with Upper Division Computer Science Students. Proceedings of ASEE/IEEE Frontiers in Education (FIE) Conference. Reno, Nevada, Oct. 2001  9. Other scholarly activity during the last 5 years: grants, sabbaticals, software development, etc. 2004-2005 Judge Julian Beck Instruction Development Project Award Applying a Learning Centered Approach to a Computer Science Class 10. Courses taught this and last academic year term-by-term. This year is the academic year in which this Self-Study report is prepared; the last year was the year prior to this. If you were on sabbatical leave, please enter the information for the previous year. Please list each section of the same course separately. Term/yearCourse numberCourse titleSemester hrsClass sizeSP2007COMP 100Computers: Their Impact and Use331SP2007COMP 100Computers: Their Impact and Use331SP2007COMP 450Societal Issues in Computing311SP2007COMP 696CDirected Graduate Research12SP2007COMP 698CThesis Grad Project1.53FA2006COMP 100Computers: Their Impact and Use3 32FA2006COMP 100Computers: Their Impact and Use3 31FA2006COMP 450Societal Issues in Computing329FA2006COMP 696CDirected Graduate Research2.55FA2006COMP 698CThesis Grad Project0.51SP2006COMP 100Computers: Their Impact and Use328SP2006COMP 100Computers: Their Impact and Use332SP2006COMP 598SECAdvanced Computer System Security317SP2006COMP 696CDirected Graduate Research12SP2006COMP 698CThesis Graduate Project1.53FA2005COMP 696CDirected Graduate Research24FA2005COMP 698CThesis Graduate Project0.51FA2005Out due to accident 11. Other assigned duties performed during the academic year, with average hours per week. Indicate which, if any, carry extra compensation. If you are course coordinator for courses taught by other than full-time faculty, please indicate here which courses. 12. Number of students for which you serve as academic advisor: 20 13. Estimate the percentage of your time devoted to scholarly and/or research activities: 10%. Please give a brief description of your major research and scholarly activities: Information System Security, Networks, Operating Systems, and Mobile and Wireless Security, Secure Software Engineering, Learning Centered Education 14. If you are not a full-time faculty member, state what percentage of full-time you work: _____%. Percentage of this time allocated to the computer science program being evaluated: _____%. 1. Name, current academic rank, and tenure status Ginter Trybus, Full-time Lecturer, Non-tenure Track 2. Date of original appointment to this faculty, followed by dates and ranks of advancement 1991 Part-time Lecturer 2002 Full-time Lecturer 3. Degrees with fields, institutions, and dates DegreeFieldInstitutionDateM.S.MathematicsWroclaw University (Poland)1964Ph.D.Comp. Sc. & StatisticsOskar Lange School of Economics, Wroclaw1970Dr. HabilStatistics & InformaticsOskar Lange School of Economics, Wroclaw1981 4. If you do not have a formal degree in computer science, describe any course work you may have taken, or other ways in which you have achieved competence in computer science; there is no necessity to repeat information here which is contained in later sections of this document.  5. Conferences, workshops, and professional development programs in which you have participated in the last 5 years to improve teaching and professional competence in computer science Exposing MBA students to Data Mining in Excel (with E. Trybus), Global Trends Conference, Academy of Business Administration, San Jose, Costa Rica, 2002. 6. Other related computing experience including teaching, industrial, governmental, etc. (Where, when, description and scope of duties) 19641982, Assistant, Associate Professor, Oskar Lange School of Economics, Wroclaw Poland, Theory of Algorithms, Computer Programming, Formal Languages, Linear Algebra 19831991, Full-time Instructor, University of Southern California, School of Engineering, Los Angeles, Programming Languages, Data Processing, Data Structures, Computer Applications 19951998, Instructor, UCLA, Computer Sciences, Programming Languages, Compilers, Theory of Algorithms 1998present, Part-time Lecturer, CSUN, Computer Science, Programming Languages, Data Structures  7. Consultinglist agencies and dates, and briefly describe each project  8. Principal publications during the last five years. Give in standard bibliographic format.  9. Other scholarly activity during the last 5 years: grants, sabbaticals, software development, etc.  10. Courses taught this and last academic year term-by-term. This year is the academic year in which this Self-Study report is prepared; the last year was the year prior to this. If you were on sabbatical leave, please enter the information for the previous year. Please list each section of the same course separately. Term/yearCourse numberCourse titleSemester hrsClass sizeSP2007COMP 110/LIntro to Algorithms and Programming/Lab523SP2007COMP 182/LData Structures and Program Design/Lab520SP2007COMP 182/LData Structures and Program Design/Lab513FA2006COMP 110Intro to Algorithm and Programming337FA2006COMP 110LIntro to Algorithms & Programming Lab221FA2006COMP 110LIntro to Algorithms & Programming Lab215 FA2006COMP 182/LData Structures and Program Design/Lab520SP2006COMP 110/LIntro to Algorithms & Programming/Lab515SP2006COMP 182/LData Structures and Program Design/Lab524SP2006COMP 282Advanced Data Structures325FA2005COMP 110/LIntro to Algorithms and Programming/Lab523FA2005COMP 182/LData Structures and Program Design/Lab524 11. Other assigned duties performed during the academic year, with average hours per week. Indicate which, if any, carry extra compensation. If you are course coordinator for courses taught by other than full-time faculty, please indicate here which courses. 12. Number of students for which you serve as academic advisor: 2 13. Estimate the percentage of your time devoted to scholarly and/or research activities: 30%. Please give a brief description of your major research and scholarly activities: Research activities recently have been in Data Mining and Concepts of Programming Languages. 14. If you are not a full-time faculty member, state what percentage of full-time you work: _____%. Percentage of this time allocated to the computer science program being evaluated: _____%. 1. Name, current academic rank, and tenure status Taehyung (George) Wang, Assistant Professor, Tenure-track 2. Date of original appointment to this faculty, followed by dates and ranks of advancement 2003 Assistant Professor, Probationary 3. Degrees with fields, institutions, and dates DegreeFieldInstitutionDateB.S.EECSSeoul National University1985M.S.CSWestern Illinois University1994Ph.D.EECSUniversity of California, Irvine1998 4. If you do not have a formal degree in computer science, describe any course work you may have taken, or other ways in which you have achieved competence in computer science; there is no necessity to repeat information here which is contained in later sections of this document.  5. Conferences, workshops, and professional development programs in which you have participated in the last 5 years to improve teaching and professional competence in computer science Jun. 27-29, 2006: Software Engineering Institute (SEI) Software Architecture Workshop for Educators, CSULA, Los Angeles, CA Jun. 14-16, 2006: IBM Rational Software Architect Workshop, California Polytechnic State University, Pomona, CA May 2006: C.V. Ramamoorthy Workshop on Advances in Computer Science and Engineering, Berkeley, California Mar.2006: The 16th Korean-American Scientists and Engineers Association South-Western Region Annual Technology Conference, University of California, Los Angeles, California  6. Other related computing experience including teaching, industrial, governmental, etc. (Where, when, description and scope of duties)  7. Consultinglist agencies and dates, and briefly describe each project  8. Principal publications during the last five years. Give in standard bibliographic format. Xie, Fie, Haitao Gong, Donghua Deng, Shu Wang, George Wang, Jicheng Hu, Chen-Yu Sheu, Integrating Semantic Web Services for Declarative Accesses in Natural Language, IEEE Eighth International Symposium on Multimedia (ISM2005), San Diego, California, December, 2006. Ropez, Ramiro, Taehyung Wang, Chen-Yu Sheu, and Ray Paul, "Information and Process Management System for the Physical Therapy", RAM 2006, C.V. Ramamoorthy Workshop on Advances in Computer Science and Engineering, Berkeley, California, May 2006. Wang, Taehyung and Wenbin Xiang, "A Code Generator in the J2EE Environment", The 16th Korean-American Scientists and Engineers Association South-Western Region Annual Technology Conference, University of California, Los Angeles, California, March, 2006. Germano, Chris, Taehyung (George) Wang, and Akira K. Onoma, Framework and Network Based Multimedia Object Management Environment, IEEE Seventh International Symposium on Multimedia (ISM2005), Irvine, California, December, 2005. Wang, Taehyung and Wei Chang, Automatic Association Rule Generation: from a Cognitive Informatics Perspective, The 2005 US-Korea Conference on Science, Technology, & Entrepreneurship, Irvine, California, August 2005.  9. Other scholarly activity during the last 5 years: grants, sabbaticals, software development, etc. Principle Investigator, Knowledge-based Testing and Evaluation Environment for Insulin Pump Software, Medtronic MiniMed Grant, Nov. 2005 present, $33,539. Principle Investigator, Bioinformatics Framework: Semantic Integration of Heterogeneous and Distributed Bioinformatics Databases and Agent-based Information Retrieval, CSUN Competition for Research, Scholarship and Creative Activity, Jan. 2005 May 2005, $4,363 (3 units reassignment time for Spring 2005). 10. Courses taught this and last academic year term-by-term. This year is the academic year in which this Self-Study report is prepared; the last year was the year prior to this. If you were on sabbatical leave, please enter the information for the previous year. Please list each section of the same course separately. Term/yearCourse numberCourse titleSemester hrsClass sizeSP2007COMP 380/LIntroduction to Software Engineering/Lab424SP2007COMP 380/LIntroduction to Software Engineering/Lab427SP2007COMP 696CDirected Graduate Research 12FA2006COMP 380/LIntroduction to Software Engineering/Lab426FA2006COMP 595DMData Mining325SS2006COMP 698CThesis Graduate Project0.51SP2006COMP 380/LIntroduction to Software Engineering/Lab430SP2006COMP 380/LIntroduction to Software Engineering/Lab 424SP2006COMP 696CDirected Graduate Research 12FA2005COMP 380/LIntroduction to Software Engineering/Lab424FA2005COMP 380/LIntroduction to Software Engineering/Lab422FA2005COMP 698CThesis Graduate Project0.51 11. Other assigned duties performed during the academic year, with average hours per week. Indicate which, if any, carry extra compensation. If you are course coordinator for courses taught by other than full-time faculty, please indicate here which courses. 12. Number of students for which you serve as academic advisor: 17 13. Estimate the percentage of your time devoted to scholarly and/or research activities: 30%. Please give a brief description of your major research and scholarly activities: My research interests are broadly in the areas of software engineering (process improvement, design methodology, testing), data mining and knowledge discovery, data management (data gathering, fusion, and dissemination), biomedical information systems, location-based service and location aware computing, and web technologies.  14. If you are not a full-time faculty member, state what percentage of full-time you work: _____%. Percentage of this time allocated to the computer science program being evaluated: _____%. 1. Name, current academic rank, and tenure status Jeffrey Allan Wiegley, Assistant Professor, Tenure-track 2. Date of original appointment to this faculty, followed by dates and ranks of advancement 2002, Assistant Professor, Probationary  3. Degrees with fields, institutions, and dates DegreeFieldInstitutionDateB.S.Computer ScienceState University of New York at Buffalo06/1991Ph.D.Computer ScienceUniversity of Southern California12/1998 4. If you do not have a formal degree in computer science, describe any course work you may have taken, or other ways in which you have achieved competence in computer science; there is no necessity to repeat information here which is contained in later sections of this document.  5. Conferences, workshops, and professional development programs in which you have participated in the last 5 years to improve teaching and professional competence in computer science 2003, 2004, 2005, 2006: CSU Northridge Faculty retreat: 2003: Learning Outside The (Desktop) Box: LEGO Mindstorms In CC2001, Alma, MI.  6. Other related computing experience including teaching, industrial, governmental, etc. (Where, when, description and scope of duties) Industry - USWeb: System Administrator, 19951998 Industry - National Telemedia: Network, Systems and Security Administrator, 19982002 Academic SUNY Buffalo: Computer Science lab assistant and tutor, 1989-1991 Academic USC: Teaching assistant, 1995-1996 7. Consultinglist agencies and dates, and briefly describe each project  8. Principal publications during the last five years. Give in standard bibliographic format. Barnes, Michael G., John Noga, Peter D. Smith, and Jeffrey A. Wiegley. Experiments with Balanced-Sample Binary Trees. SIGCSE. 2005. 9. Other scholarly activity during the last 5 years: grants, sabbaticals, software development, etc. Judge Julian Beck grant: Computer Science Embedded Systems, $4,451.00 Tseng grant, Internet Interaction and Publication of Antiquity Images and Information, 16,765 10. Courses taught this and last academic year term-by-term. This year is the academic year in which this Self-Study report is prepared; the last year was the year prior to this. If you were on sabbatical leave, please enter the information for the previous year. Please list each section of the same course separately. Term/yearCourse numberCourse titleSemester hrsClass sizeSP2007COMP 282Advanced Data Structures315SP2007COMP 424Computer System Security332SP2007COMP 598EAEmbedded Applications316SP2007COMP 696CDirected Graduate Research12SP2007COMP 698CThesis Graduate Project1.53FA2006COMP 421Unix Environment for Programmers324FA2006COMP 429Computer Network Software327FA2006COMP 496NSPNetwork Security Project37FA2006COMP 696CDirected Graduate Research.51SP2006COMP 429Computer Network Software327SP2006COMP 529Advanced Network Topics323SP2006COMP 598EAEmbedded Applications326SP2006COMP 696CDirected Graduate Research1.53FA2005COMP 421Unix Environment for Programmers329FA2005COMP 424Computer System Security316FA2005COMP 496NSPNetwork Security Project324FA2005COMP 698CThesis Graduate Project0.51SP2005COMP 424Computer System Security326SP2005COMP 424Computer System Security324SP2005COMP 598EAEmbedded Applications323 11. Other assigned duties performed during the academic year, with average hours per week. Indicate which, if any, carry extra compensation. If you are course coordinator for courses taught by other than full-time faculty, please indicate here which courses. Graduate Theses advisement, 6 hours per week, 3 units of release time Campus Committees, 2 hours per week Honor Co-Op intern oversight, 1 hour per week 12. Number of students for which you serve as academic advisor: 25 13. Estimate the percentage of your time devoted to scholarly and/or research activities 5 %. Please give a brief description of your major research and scholarly activities: Tseng Chinese antiquities grant robotic hardware and web service software Electronic sensing and control systems for vehicles. Algorithms for automated CNC machining operations. 14. If you are not a full-time faculty member, state what percentage of full-time you work: _____%. Percentage of this time allocated to the computer science program being evaluated: _____%. 1. Name, current academic rank, and tenure status Bahram Zartoshty, Full-time Lecturer, Non-tenure Track 2. Date of original appointment to this faculty, followed by dates and ranks of advancement 1990 Part-time Lecturer 1991 Full-time Lecturer 3. Degrees with fields, institutions, and dates DegreeFieldInstitutionDateB.A.Computer ScienceTransylvania UniversityMay 1982M.S.Computer ScienceUniversity of KentuckyMay 1984 4. If you do not have a formal degree in computer science, describe any course work you may have taken, or other ways in which you have achieved competence in computer science; there is no necessity to repeat information here which is contained in later sections of this document.  5. Conferences, workshops, and professional development programs in which you have participated in the last 5 years to improve teaching and professional competence in computer science  6. Other related computing experience including teaching, industrial, governmental, etc. (Where, when, description and scope of duties) 1984-1989, Full-time lecturer, Transylvania University. Course work included introduction to Computer Science, Data Structures, and Computer Graphics 2004-2005, Part-time lecturer, University of Southern California. File and Database Management 7. Consultinglist agencies and dates, and briefly describe each project  8. Principal publications during the last five years. Give in standard bibliographic format.  9. Other scholarly activity during the last 5 years: grants, sabbaticals, software development, etc.  10. Courses taught this and last academic year term-by-term. This year is the academic year in which this Self-Study report is prepared; the last year was the year prior to this. If you were on sabbatical leave, please enter the information for the previous year. Please list each section of the same course separately. Term/yearCourse numberCourse titleSemester hrsClass sizeSP2007COMP 100Computers: Their Impact and Use332SP2007COMP 108Orientation to Computer Science321SP2007COMP 110/LIntro to Algorithm and Programming/Lab524FA2006COMP 100Computers: Their Impact and Use332FA2006COMP 100Computers: Their Impact and Use331FA2006COMP 108Orientation to Computer Science321FA2006COMP 108Orientation to Computer Science329SP2006COMP 100Computers: Their Impact and Use 332SP2006COMP 100Computers: Their Impact and Use 330SP2006COMP 108Orientation to Computer Science324SP2006COMP 108Orientation to Computer Science313FA2005COMP 100Computers: Their Impact and Use332FA2005COMP 100Computers: Their Impact and Use331FA2005COMP 108Orientation to Computer Science319FA2005COMP 282Advanced Data Structure331 11. Other assigned duties performed during the academic year, with average hours per week. Indicate which, if any, carry extra compensation. If you are course coordinator for courses taught by other than full-time faculty, please indicate here which courses. Involved in Department meetings and discussions.  12. Number of students for which you serve as academic advisor: 17 13. Estimate the percentage of your time devoted to scholarly and/or research activities: __XXX___%. Please give a brief description of your major research and scholarly activities:  14. If you are not a full-time faculty member, state what percentage of full-time you work: _____%. Percentage of this time allocated to the computer science program being evaluated: _____%. IV. Curriculumtc "IV. Curriculum " \f C \l 1 Intent: The curriculum is consistent with the program's documented objectives. It combines technical requirements with general education requirements and electives to prepare students for a professional career in the computer field, for further study in computer science, and for functioning in modern society. The technical requirements include up-to-date coverage of basic and advanced topics in computer science as well as an emphasis on science and mathematics. (Curriculum standards are specified in terms of semester hours of study. Thirty semester hours generally constitutes one year of full-time study and is equivalent to 45 quarter-hours. A course or a specific part of a course can only be applied toward one standard.) Title of Degree Programtc "A. Title of Degree Program " \f C \l 2 Give the title of the degree program under review, as specified on the transcript and diploma. Transcript:Bachelor of Science in Computer ScienceDiploma:Bachelor of Science in Computer Science Credit Hour Definitiontc "B. Credit Hour Definition " \f C \l 2 One semester hour normally means one hour of lecture or three hours of laboratory per week. One academic year normally represents from twenty-eight to thirty weeks of classes, exclusive of final examinations. Please describe below if your definitions differ from these. Our credit hour definition matches the one above. Prerequisite Flow Charttc "C. Prerequisite Flow Chart " \f C \l 2 Attach a flow chart showing the prerequisite structure of computer science courses required or allowed towards the major. D. Course Requirements of Curriculumtc "D. Course Requirements of Curriculum " \f C \l 2 (term by term and year by year) 1. Required and elective courses. In the tables on the following pages, list the courses in the order in which they are normally taken in the curriculum, classified in the appropriate categories. The data should clearly indicate how the program meets the Intent of the Curriculum Category of the Criteria for Accrediting Computer Science Programs. These tables are designed for a semester calendar; they may be easily altered for a quarter calendar. 2. Required courses. List courses by department abbreviation (Math, Chem, CS, etc.), number, title, and number of semester hours. Apportion the semester hours for each course by category. 3. Elective courses. Designate these courses elective. If an elective is restricted to a particular category, then tabulate the semester hours in that category and indicate the category in the listing, e.g. electivescience. In addition, be sure that you have supplied information elsewhere in this document indicating how you ensure that students take the course in the specified category (e.g. advisement, graduation check sheets, etc.). For free electives (i.e., those not restricted to a particular category), list the semester hours under the heading Other. Use footnotes for any listings that require further elaboration. 4. Individual courses may be split between or among curriculum areas if the course content justifies the split. For example, a discrete mathematics course may have some of its semester hours under mathematics and some under computer science. In such cases, assign semester hours to categories in multiples of one-half semester hour. Category (credit hours)Category (semester hours) Year Semester Course (Dept., Number, Title)Computer Science CoreComputer Science Advanced.MathematicsScienceGeneral EducationOtherFreshman Composition3FirstMATH 150A Calculus I5SemesterCOMP 110/110L Algorithms4FreshmanGE Elective3YearOral Communication3SecondMATH 150B Calculus II5SemesterCOMP 122/ 122L Arch & Assembly Lang2FreshmanCOMP 182/182L Data Structures4YearPHIL 230 Symbolic Logic3MATH 262 Linear Algebra3FirstCOMP 222 Computer Organization 3SemesterCOMP 282 Advanced Data Structures3SophomoreLab Science I4-5YearGE Elective3MATH 326 Discrete Math 3SecondCOMP 232 Programming Language Concepts3SemesterLab Science II4-5SophomoreGE Elective3YearSUBTOTALS220168-10150 Note: Lab Science I and II are a year long sequence chosen from PHYSICS 220A/L, PHYSICS 220B/L; CHEM 101/L, CHEM 102/L; BIOL 106/L, BIOL 107/L Category (semester hours) Year Semester Course (Dept., Number, Title) Computer Science CoreComputer Science AdvancedMathematicsScienceGeneral EducationOtherCOMP 322/322L Operating Systems4FirstCOMP 310 Language Automata3SemesterLab Science III4JuniorGE Elective3YearCOMP 380/380L Software Engineering3SecondMATH Probability/Statistics3SemesterGE Elective3JuniorMATH 482 Combinatory Algorithms3YearCOMP 450 Societal Issues3FirstCOMP Senior Elective I3SemesterCOMP Senior Elective II3SeniorGE Elective3YearGE elective3COMP Senior Elective III3SecondCOMP Senior Elective IV3SemesterCOMP Senior Elective V3SeniorGE Elective3YearFree Electives4-6SUBTOTALS72434154-6TOTALS29241912-14304-6 Note: Students must take enough free electives to bring total semester hours for graduation to 120 semester hours. Note: COMP senior electives are chosen from any 400-500 level courses within the Computer Science Department or Math 481A (numerical methods). General Standard IV-1. The curriculum must include at least 40 semester hours of up-to-date study in computer science topics. 1. If it is not obvious from the above tables that the curriculum includes at least 40 semester hours (60 quarter hours) of computer science topics, please explain. The program includes 53 units of computer science topics. Standard IV-2. The curriculum must contain at least 30 semester hours of study in mathematics and science as specified below under Mathematics and Science. 2. If it is not obvious from the above tables that the curriculum includes at least 30 semester hours (45 quarter hours) of study in mathematics and science, please explain. The program includes at least 31 units of study in mathematics and science. Standard IV-3. The curriculum must include at least 30 semester hours of study in humanities, social sciences, arts and other disciplines that serve to broaden the background of the student. 3. If it is not obvious from the above tables that the curriculum includes at least 30 semester hours (45 quarter hours) of study in humanities, social sciences, arts, and other disciplines that serve to broaden the background of the student, please explain. The curriculum includes 30 semester hours in general education courses in arts and humanities, social sciences, comparative cultural studies and written and oral communication. Standard IV-4. The curriculum must be consistent with the documented objectives of the program. Describe the consistency between the documented objectives of the program and the curriculum. How does the curriculum contribute to the achievement of the documented objectives? A few years after graduation, graduates of the computer science program will: Objective 1: Be able to apply the principles of computer science, mathematics and scientific investigation to solve real world problems appropriate to the discipline. Students study the principle of computer science in the computer science core classes( (COMP 110, 122, 182, 222, 232, 282, 310, 380, 322, 450) and in the required mathematics (MATH 150A, 150B, 262, 326, 340 or 341, 482) and science classes (12 units of lab science). The fifteen unit senior elective package gives students an opportunity to take courses dealing with current technology and current problems in computer science. Objective 2: Be able to apply current computing practices and current technologies to analyze, design, implement, and verify high quality computer-based solutions to real world problems. All students take a software engineering course where they are taught current practices in software engineering and use current CASE tools to solve problems. The fifteen unit senior elective package introduces students to current practices and technologies in selected areas, depending on a students choice of electives. Objective 3: Exhibit teamwork and effective communication skills. Students take General Education freshman composition and oral communication courses in their freshman year to prepare for work in the major. In the major all students take COMP 380 (software engineering) where a semester long team project is required. The teams produce written documents and make an oral presentation of their work. All students take COMP 450 (Computers and Society). In COMP 450 students write a 10-15 page term paper and give oral presentations on topics of their choice. Objective 4: Be able to positively and appropriately apply knowledge of societal impacts of computing technologies in the course of career related activities. All students take Comp 450 (Computers and Society) which is a three semester hour course that covers societal impacts of computing technology. Objective 5: Be successfully employed in a professional career or be accepted into a graduate program, and demonstrate a pursuit of lifelong learning. The computer science program is a that gives students hands-on design and problem solving experiences as well as theoretical knowledge. This broad range of skills prepares students for both the job market and for graduate school. Computer Science Standard IV-5. All students must take a broad-based core of fundamental computer science material consisting of at least 16 semester hours. 4. If it is not obvious from the above tables that the curriculum includes a broad-based core of fundamental computer science material consisting of at least 16 semester hours (24 quarter hours), please explain. The program includes 29 semester hours of broad based core fundamental computer science material.Standard IV-6. The core materials must provide basic coverage of algorithms, data structures, software design, concepts of programming languages and computer organization and architecture. 5. The core materials must provide basic coverage of the following five areas. Please indicate below the approximate number of semester hours in the core devoted to each topic. (This material can be gathered from your course descriptions, but it will ease the job for the visiting team if you do this in advance.) AreaSemester hoursAreaSemester hoursAlgorithms4.25Data structures4.5Software Design5.75Concepts of Programming Languages6.75Computer Organization and Architecture4.75 Standard IV-7. Theoretical foundations, problem analysis, and solution design must be stressed within the programs core materials. 6. The following areas must be stressed within the programs core materials. Indicate the course numbers of courses embodying a significant portion of these areas. AreaCourses (Dept., Number)Theoretical FoundationsCOMP 310, MATH 482, PHIL 230Problem AnalysisCOMP 282, COMP 380Solution DesignCOMP 110, 182, 282, 380 Standard IV-8. Students must be exposed to a variety of programming languages and systems and must become proficient in at least one higher-level language. 7. To what programming languages and operating systems are students exposed? All students study and write programs in Java in COMP 110, 182, and 282. They study and write programs in assembly language in COMP 122. They study and write programs in C in COMP 222 and 322. Students are exposed to other language paradigms (e.g., logic programming, functional programming) in COMP 232 and in some of the senior elective courses. Our laboratory courses expose students to LINUX, MAC OS X (UNIX) and Microsoft Windows XP operating systems.  8. In what higher-level language(s) do students become proficient? Students become proficient in Java and C. Standard IV-9. All students must take at least 16 semester hours of advanced course work in computer science that provides breadth and builds on the core to provide depth. 9. If it is not obvious from the tables above that students take at least 16 semester hours (24 quarter hours) of advanced computer science, please explain. Students take 24 units of advanced computer science courses. 10. List below the advanced areas in which your students may study. Make clear by the use of and, or, and parentheses which areas are required and which may be chosen from (e. g., A and two of (B or C or D)). All students take a course in languages and automata (COMP 310), combinatorial algorithms (MATH 482) and societal issues in computing (COMP 450). All students select 15 semester hours of senior electives (400 or 500 level COMP courses) covering a wide range of computer science topics: networks, computer graphics, artificial intelligence, databases, human computer interfaces, object oriented programming, logic programming, advanced topics in operating systems, system security and software engineering; they may also elect to take numerical methods (MATH 481A) as part of their senior elective sequence. Mathematics and Science Standard IV-10. The curriculum must include at least 15 semester hours of mathematics. 11. If it is not obvious from the tables above that students take at least 15 semester hours (23 quarter hours) of mathematics beyond pre-calculus, please explain. The program includes 19 semester hours of mathematics courses, plus MATH 482 which we have counted in the advanced computer science category. Standard IV-11. Course work in mathematics must include discrete mathematics, differential and integral calculus, and probability and statistics. 12. If it is not obvious from course titles in the above tables, then explain below which required courses contain discrete mathematics, differential and integral calculus, and probability and statistics. All students must take calculus I, calculus II, linear algebra, discrete mathematics and a course in probability or statistics. Standard IV-12. The curriculum must include at least 12 semester hours of science. 13. If it is not obvious from the tables above that students take at least 12 semester hours (18 quarter hours) of science, please explain. The program includes 1214 semester hours of science. Standard IV-13. Course work in science must include the equivalent of a two-semester sequence in a laboratory science for science or engineering majors. 14. If it is not obvious from the tables above and from course descriptions and/or your catalog that the science requirement includes a full year (two-semester or three-quarter) sequence in a laboratory science for science and engineering majors, please explain. All students must take a one-year sequence in a laboratory science for science majors. They select from PHYSICS 220A/L, PHYSICS 220B/L OR CHEM 101/L, CHEM 102/L OR BIOL 106/L, BIOL 107/L. Standard IV-14. Science course work additional to that specified in Standard IV-13 must be in science courses or courses that enhance the student's ability to apply the scientific method. Additional Areas of Study 15. If it is not obvious from the tables above and from course descriptions and/or your catalog that the remainder of the science requirement is met with science courses or courses that enhance the students abilities in the application of the scientific method, please explain. (Mathematics, statistics, and courses normally considered part of the computer science discipline should not be included here). All students take an additional one-semester lab science course different from the one-year sequence. They select from BIOL 106/L, CHEM 101/L, PHYSICS 220A/L, GEOG 101/102, GEOG 103/105; GEOL 110/112. Each of these selections includes a lab (the second component). Standard IV-15. The oral communications skills of the student must be developed and applied in the program. Standard IV-16. The written communications skills of the student must be developed and applied in the program. 16. Each students oral and written communications skills must be developed and applied in the program, i.e., in courses required for the major. This information should be included in course descriptions; please give course numbers below. Communications skillsDeveloped inApplied inOral Oral Communication GE courseCOMP 380, 450WrittenFreshman Composition GE courseCOMP 380, 450 Standard IV-17. There must be sufficient coverage of social and ethical implications of computing to give students an understanding of a broad range of issues in this area. 17. Social and ethical implications of computing must be covered in the program. This information should be included in course descriptions; please give course numbers below. Covered in Course(s) (Dept., Number)Social and Ethical ImplicationsCOMP 450 E. Course Descriptionstc "E. Course Descriptions " \f C \l 2 1. For each required or elective computer science course that can be counted in the curriculum being reviewed for accreditation, include a two-page or three-page course outline at this point in the Self-Study. If your documentation does not exactly follow this format, be sure that all of the requested information (if applicable) is present, and please in any case adhere to a common format for all course descriptions. Note that the outline format calls for information on the content of the course in the areas of algorithms, data structures, software design, concepts of programming languages, computer organization and architecture. This is not intended to suggest that every course must have some coverage of each of these topics. For a given course, please include the information from a listed area only if the course has significant content in that specific area. Computer Science Course Descriptions COURSE DESCRIPTION Dept., NumberCOMP 108Course TitleOrientation to Computer ScienceSemester hours3Course CoordinatorBahram ZartoshtyURL (if any): Current Catalog Description Introduction to the Computer Science major and profession. Main focus on developing problem solving, algorithm development, and programming skills, and acquiring critical thinking abilities especially when applied to Computer Science. Additional emphasis on orientation to the University, campus resources, study skills, motivation, and career awareness. Textbook Lewis J, & Loftus W. Java Software Solutions, Foundations of Program Design. 5th edition. Addison Wesley, 2006. References Class lecture notes prepared by Professor Zartoshty. Course Goals Demonstrate an understanding of some basic terminology and concepts related to Computer hardware Networks, internet, and World Wide Web Gates and circuits (NOT, AND, OR, XOR, NAND, NOR gate) Compute with Decimal, Binary, Octal, and Hexadecimal number systems and be able to perform conversion between different number bases. Design and test simple algorithms and logic flow diagrams Use selection and iteration programming structures to solve problems Use pre-existing classes to solve problems (String, Math) Effectively use the campus Library resources Effectively use the Career Center resources to find out about job opportunities in the field of Computer Science Prerequisites by Topic Completion of developmental math courses (if required) leading to College Algebra and Pre-Calculus courses. Major Topics Covered in the Course Chapter 1 (Introduction to Computers) Hardware components Binary representation Gates & Circuits Introduction to Java Chapter 2 (Data And Expressions) Variables and Assignment Primitive Data Types Expression & Operator Precedence Data Conversion Chapter 3 ( Using Classes And Objects) String Class Packages Random Class Math Class Formatting Output Wrapper Classes Chapter 5 (Conditionals and Loops) Boolean Expressions If Statement While Statement For Statement Laboratory projects (specify number of weeks on each) Between 15 to 20 small projects. Approximately 1 to 2 projects per week. Estimate Curriculum Category Content (Semester hours) AreaCoreAdvancedAreaCoreAdvancedAlgorithms1Data StructuresSoftware DesignProg. Languages1.5Comp. Arch. Note: this is not a required course in the major; the core hours shown above are not included in the summary tables for the major. Oral and Written Communications Every student is required to submit at least 0 written reports (not including exams, tests, quizzes, or commented programs) of typically 0 pages and to make 0 oral presentations of typically 0 minutes duration. Include only material that is graded for grammar, spelling, style, and so forth, as well as for technical content, completeness, and accuracy. Social and Ethical Issues Please list the topics that address the social and ethical implications of computing covered in all course sections. Estimate the class time spent on each topic. In what ways are the students in this course graded on their understanding of these topics (e.g., test questions, essays, oral presentations, and so forth)? None. Theoretical Content Please list the types of theoretical material covered, and estimate the time devoted to such coverage. None. Problem Analysis Please describe the analysis experiences common to all course sections. None. Solution Design Please describe the design experiences common to all course sections. See laboratory assignments. COURSE DESCRIPTION Dept., NumberCOMP 110/LCourse TitleIntroduction to Algorithms and Programming and LabSemester Hours3 + 1Course CoordinatorGinter TrybusURL (if any): Current Catalog Description Introduction to algorithms, their representation, design, structuring, analysis and optimization. Implementation of algorithms as structured programs in a high level language.  Textbook Liang YD. Introduction to Java Programming. 6th edition. Prentice Hall, 2006. References None. Course Goals To provide students with an ability to represent a solution of a problem by using pseudo code, flowchart or flow block diagram notation. To discuss the basic elements of the Java language. To strengthen the students ability to solve problems using the right approach and choosing the appropriate components of the Java language. To introduce students the principles of object-oriented programming techniques by using inheritance to relate classes and polymorphism to improve design. Prerequisites by Topic Completion of college algebra (MATH 102). Major Topics Covered in the Course From Problem to Algorithm to Program. Representation of Algorithms. Data Types and Operations. Evaluation of Expressions. Selection Statements. Loops. Methods. Passing Parameters. Arrays, Vectors and Strings. The File Class. Program Design, Decomposition. Objects and Classes. Members and Methods. Constructors. The idea of Inheritance and Polymorphism.  Laboratory projects (specify number of weeks on each) Students are assigned 710 programming projects throughout the semester. The projects vary by semester and by instructor and are coordinated to the major topics covered in the course as outlined above. Each project is usually 12 weeks in duration.  Estimate Curriculum Category Content (Semester hours) AreaCoreAdvancedAreaCoreAdvancedAlgorithms.5Data Structures.5Software Design.5Prog. Languages2.5Comp. Arch. Oral and Written Communications Every student is required to submit at least 0 written reports (not including exams, tests, quizzes, or commented programs) of typically 0 pages and to make 0 oral presentations of typically 0 minutes duration. Include only material that is graded for grammar, spelling, style, and so forth, as well as for technical content, completeness, and accuracy. Social and Ethical Issues Please list the topics that address the social and ethical implications of computing covered in all course sections. Estimate the class time spent on each topic. In what ways are the students in this course graded on their understanding of these topics (e.g., test questions, essays, oral presentations, and so forth)? Not specifically covered in this course beyond the ethical issues related to various methods of cheating on programming assignments and the ramifications of such cheating. Theoretical Content Please list the types of theoretical material covered, and estimate the time devoted to such coverage. Fundamental algorithms such as: Linear Search, GCD, Horner Rule (3 lecture hours) Object Oriented Design: Representing object by members or attributes. Inheritance as a tool of software design let one class inherit from another. Class membership: public, private and protected. The idea of polymorphism (5 lecture hours). Problem Analysis Please describe the analysis experiences common to all course sections. None. Solution Design Please describe the design experiences common to all course sections. Control flow design problems Data flow design problems Object-oriented design problems COURSE DESCRIPTION Dept., NumberCOMP 122/LCourse TitleComputer Architecture and Assembly Language and LabSemester hours1 + 1Course CoordinatorSon PhamURL (if any):http://www.csun.edu/~spham/COMP122/ COMP122Index.html Current Catalog Description Introduction to computer architecture, assembly language programming, system software and computer applications. Number systems and data representation. Internal organization of a computer. Primitive instructions and operations. Assembly language. Integrated lecture/lab environment. Lab: three hours per week. Textbook Warford JS. Computer Systems. 3rd edition. Jones & Barlett, 2005. References None. Course Goals Provide students a general concept of computer architecture in a sense of programming language. Reinforce their understanding of programming elements such as value and reference data types, array and stack structures, different types of instructions such as conditional statements, loops, subroutines in low-level. Provide students a hand on projects to learn debugging and writing in low-level programming. Understand the numbers in hex, binary as well as char in different encoding. Prerequisites by Topic Knowledge of a high-level language such as Java or C++ (COMP 110/L). Major Topics Covered in the Course Information Representation: Positive and negative numbers, rational numbers, real numbers; binary, octal, hex representations. General number in any base. Base conversion. ASCII, ANSI and Unicode representation of characters. Assembly Language/ Assembler: understand instruction opcodes, specifiers, and operators. Learn how to write, compile and run assembly programs using Pep/8. Understand machine instruction; practice debugging programs by looking CPU and memory. Learn how to translate high-level instructions into assembly instructions: data type, array type, object type. Computer Architecture: Learn the components of a CPU. Compiler (intro): General concept of compilers and translations. Laboratory projects (specify number of weeks on each) Lab projects are provided weekly. Each student must complete a project within 3 hours and then demonstrate their work to instructor before submitting the hard copies. There are roughly 10 projects to be done. They are coordinated to the major course topics and include: Getting familiar with the Pep/8 machine simulator Implementing assembly code versions of C programs Addressing modes Parameter passage to subroutines Handling nested subroutine calls Use of data types, array types and objects  Estimate Curriculum Category Content (Semester hours) AreaCoreAdvancedAreaCoreAdvancedAlgorithmsData Structures.25Software DesignProg. Languages.75Comp. Arch.1 Oral and Written Communications Every student is required to submit at least 4 written reports (not including exams, tests, quizzes, or commented programs) of typically 2 pages and to make 10 oral presentations/demonstrations of typically 5 minutes duration. Include only material that is graded for grammar, spelling, style, and so forth, as well as for technical content, completeness, and accuracy. Social and Ethical Issues Please list the topics that address the social and ethical implications of computing covered in all course sections. Estimate the class time spent on each topic. In what ways are the students in this course graded on their understanding of these topics (e.g., test questions, essays, oral presentations, and so forth)? None. Theoretical Content Please list the types of theoretical material covered, and estimate the time devoted to such coverage. None. Problem Analysis Please describe the analysis experiences common to all course sections. None. Solution Design Please describe the design experiences common to all course sections. Low level control and data flows. COURSE DESCRIPTION Dept., NumberCOMP 182/LCourse TitleData Structures and Program Design and LabSemester hours3 + 1Course CoordinatorJohn NogaURL (if any):www.csun.edu/~jnoga/comp182 Current Catalog Description Introduction to data structures and the algorithms that use them. Review of composite data types such as arrays, records, strings, and sets. Role of the abstract data type in program design. Definition, implementation, and application of data structures such as stacks, queues, linked lists, trees, and graphs. Recursion. Use of time complexity expressions in evaluating algorithms. Comparative study of sorting and searching algorithms.  Textbook Goodrich MT, & Tomassia R. Data Structures and Algorithms in Java. 4th edition. John Wiley & Sons, 2006. References  Course Goals The successful student should: Understand abstract data types and implement them in Java as data structures Understand and be able to use OO Design Understand and be capable of implementing basic sorting algorithms (e.g. bubble, insertion, selection, merge sort, radix sort) Understand the inherent tradeoffs between different data structures and different sorting algorithms Improve programming ability: complexity and length of projects, coding standards, appropriate documentation, analysis, and testing Prerequisites by Topic Basic understanding of Java programming: variables, conditionals, loops, methods, classes (COMP 110/L). Major Topics Covered in the Course OO Design Algorithm Analysis Data Structures: Vectors, Linked Lists, Stacks, Queues, Hash Tables, Heaps, BSTs Sorting algorithms: bubble, selection, insertion, quick, merge, heap, radix, bucket Recursion Laboratory projects (specify number of weeks on each) 6 projects: 2-3 weeks each Topics are typically: Review & Vectors Linked Lists & Vectors Stacks, Queues, Priority Queues Sorting Hash Tables Binary Search Trees or Heaps Estimate Curriculum Category Content (Semester hours) AreaCoreAdvancedAreaCoreAdvancedAlgorithms1Data Structures2Software Design.5Prog. Languages.5Comp. Arch. Oral and Written Communications Every student is required to submit at least 0 written reports (not including exams, tests, quizzes, or commented programs) of typically 0 pages and to make 0 oral presentations of typically 0 minutes duration. Include only material that is graded for grammar, spelling, style, and so forth, as well as for technical content, completeness, and accuracy. Social and Ethical Issues Please list the topics that address the social and ethical implications of computing covered in all course sections. Estimate the class time spent on each topic. In what ways are the students in this course graded on their understanding of these topics (e.g., test questions, essays, oral presentations, and so forth)? None. Theoretical Content Please list the types of theoretical material covered, and estimate the time devoted to such coverage. OO Design (Classes, Inheritance, Polymorphism, Interfaces, Abstract Classes): 4 lecture hours, Time complexity (running time, Big-O notation): 2 lecture hours, Recursion: 4 lecture hours. Problem Analysis Please describe the analysis experiences common to all course sections. Students determine the runtime (big-O) of various algorithms/operations both in the classroom and for their lab projects. Most projects require students to compare the quality and appropriateness of two (or more) solutions. Solution Design Please describe the design experiences common to all course sections. For each of the lab projects, a description is provided to the student. The description will usually include the purpose of the program, the ADTs or sorting algorithms to be used, a list of the classes required, and some suggestions of how the project should be completed. The student then designs (and implements) the project. A project will require at least a "container" to hold the data and an interface to allow the user to interact with the "container". COURSE DESCRIPTION Dept., NumberCOMP 222Course TitleComputer OrganizationSemester hours3Course CoordinatorRobert McIlhennyURL (if any): Current Catalog Description Extension of basic addressing concepts to more advanced addressability such as base register and self-relative addressing. Comparative computer architecture focusing on such organizations as multiple register processors and stack machines. Basics of virtual memory input-output. Introduction to the concept of microprogrammable systems. Low level language translation process associated with assemblers. System functions such as relocatable loading and memory management. Application of data structure and hashing techniques to the above. Other related topics. Textbook Abd-El-Barr M, & El-Rewini H. Fundamentals of Computer Organization & Architecture. Wiley-Interscience, 2004. References N/A Course Goals To familiarize students with concepts pertaining to the organization and architecture of computers. To enable students to understand the components and interconnections between components in a computer, with an emphasis on instructions and memory. To help students be equipped in measuring performance of a computer systems using various metrics. Prerequisites by Topic Knowledge of basic computer architecture and assembly language concepts (COMP 122/L) plus experience in program design and use of data structures in a language like Java through the level of queues, linked lists and binary trees (COMP 182/L). Major Topics Covered in the Course Computer performance Instruction format and addressing modes Micro-operations Cache memory Virtual memory I/O design/organization Pipelining Laboratory projects (specify number of weeks on each) None  Estimate Curriculum Category Content (Semester hours) AreaCoreAdvancedAreaCoreAdvancedAlgorithmsData StructuresSoftware DesignProg. LanguagesComp. Arch.3 Oral and Written Communications Every student is required to submit at least 0 written reports (not including exams, tests, quizzes, or commented programs) of typically 0 pages and to make 0 oral presentations of typically 0 minutes duration. Include only material that is graded for grammar, spelling, style, and so forth, as well as for technical content, completeness, and accuracy. Social and Ethical Issues Please list the topics that address the social and ethical implications of computing covered in all course sections. Estimate the class time spent on each topic. In what ways are the students in this course graded on their understanding of these topics (e.g., test questions, essays, oral presentations, and so forth)? None Theoretical Content Please list the types of theoretical material covered, and estimate the time devoted to such coverage. None Problem Analysis Please describe the analysis experiences common to all course sections. None Solution Design Please describe the design experiences common to all course sections. None COURSE DESCRIPTION Dept., NumberCOMP 232Course TitleConcepts of Programming LanguagesSemester hours3Course CoordinatorGloria MelaraURL (if any):www.ecs.cscun.edu/~gem/COMP232 Current Catalog Description Discussion of issues in the design, implementation, and use of high-level programming languages. Historical background. How languages reflect different design philosophies and user requirements. Technical issues in the design of major imperative (procedural) programming languages. Other approaches to programming: functional programming, logic programming, and object-oriented programming. Textbook Sebesta RW. Concepts of Programming Languages, 7th edition. Addison Wesley, 2005. Textbook resources at http://wps.aw.com/aw_sebesta_concepts_7 References  Course Goals To develop a basic understanding of language implementation and abstractions. Expose them to basic paradigms including the strengths and limitations of each paradigm within a historical framework. Prerequisites by Topic Knowledge of basic computer architecture and assembly language concepts (COMP 122/L) plus experience in program design and use of data structures in a language like Java through the level of queues, linked lists and binary trees (COMP 182/L). Major Topics Covered in the Course History of Languages Syntax, Semantics formalization of languages and implementation issues Data Type and Construct Abstraction and Structures Process Abstraction and its implementation issues Paradigms: Object Oriented, Functional, and Logical. Including languages, strength, and limitations of the paradigms. Laboratory projects (specify number of weeks on each) None  Estimate Curriculum Category Content (Semester hours) AreaCoreAdvancedAreaCoreAdvancedAlgorithms1Data StructuresSoftware DesignProg. Languages2Comp. Arch. Oral and Written Communications Every student is required to submit at least 0 written reports (not including exams, tests, quizzes, or commented programs) of typically 0 pages and to make ONE oral presentations of typically 10-15 minutes duration. Include only material that is graded for grammar, spelling, style, and so forth, as well as for technical content, completeness, and accuracy. Social and Ethical Issues Please list the topics that address the social and ethical implications of computing covered in all course sections. Estimate the class time spent on each topic. In what ways are the students in this course graded on their understanding of these topics (e.g., test questions, essays, oral presentations, and so forth)? None Theoretical Content Please list the types of theoretical material covered, and estimate the time devoted to such coverage. Grammars Parsing Techniques Paradigms-computer architecture Process and Data Abstraction Recursion Problem Analysis Please describe the analysis experiences common to all course sections. None Solution Design Please describe the design experiences common to all course sections. None COURSE DESCRIPTION Dept., NumberCOMP 282Course TitleAdvanced Data StructuresSemester hours3Course CoordinatorDiane SchwartzURL (if any):http://www.ecs.csun.edu/~dls/Comp282S07/ Current Catalog Description Introduction to advanced data structures (particularly persistent structures) using object oriented design. Main memory structures: hash tables, trees. Architectural foundations for files. Large-scale sorting. Hash-based persistent structures. Indexed files. Introduction to databases. Textbook Carrano F, & Prichard J. Data Abstraction and Problem Solving with Java. 2nd Edition. Addison Wesley, 2006. References None. Course Goals To provide students with an ability to create, use and analyze a variety of advanced data structures such as hash tables, search trees, graphs, files systems. To strengthen students understanding of object-oriented programming techniques To strengthen students ability to solve problems using computer programming To provide an introduction to databases. Prerequisites by Topic Knowledge of basic computer architecture and assembly language concepts (COMP 122/L) plus experience in program design and use of data structures in a language like Java through the level of queues, linked lists and binary trees (COMP 182/L). Completion of Calculus I (MATH 150A) Major Topics Covered in the Course Quick review of basic data structures covered in COMP 182 ( e.g. linked lists, stacks, queues, binary trees) Analysis of algorithms Advanced topics in OOP (inheritance, exceptions, interfaces, generics) Tables and priority queues Balanced search trees Hashing Graphs External methods Introduction to databases (time permitting) Laboratory projects (specify number of weeks on each) No formal lab but students are assigned 5-6 programming projects throughout the semester. Each project is designed so that students get additional experience solving problems using data structures and object oriented programming. The projects vary by semester and by instructor. Each project is usually 2-3 weeks in duration. Estimate Curriculum Category Content (Semester hours) AreaCoreAdvancedAreaCoreAdvancedAlgorithms1Data Structures1Software Design1Prog. LanguagesComp. Arch. Oral and Written Communications Every student is required to submit at least 0 written report (not including exams, tests, quizzes, or commented programs) of typically 0 pages and to make 0 oral presentations of typically 0 minutes duration. Include only material that is graded for grammar, spelling, style, and so forth, as well as for technical content, completeness, and accuracy. Social and Ethical Issues Please list the topics that address the social and ethical implications of computing covered in all course sections. Estimate the class time spent on each topic. In what ways are the students in this course graded on their understanding of these topics (e.g., test questions, essays, oral presentations, and so forth)? Not specifically covered in this course.  Theoretical Content Please list the types of theoretical material covered, and estimate the time devoted to such coverage. Theory topics are covered throughout the semester as new data structures and algorithms are introduced. They include: Algorithm efficiency (6 lecture hours) Recursion (6 lecture hours) Problem Analysis Please describe the analysis experiences common to all course sections. Analysis of sorting algorithms Analysis of search algorithms Analysis of the algorithm complexity of the operations of the data structures taught in the class. Comparison of data structures with respect to time and space complexity Solution Design Please describe the design experiences common to all course sections. Students will design, implement and test several programs based on given program requirements. Students will create programs that require the interaction of multiple Java classes. They will write programs of significant length (700 lines) COURSE DESCRIPTION Dept., NumberCOMP 310Course TitleAutomata, Languages, and ComputationSemester hours3Course CoordinatorRichard LorentzURL (if any): Current Catalog Description Study of the relation of languages (i.e. sets of strings) and machines for processing these languages, with emphasis on classes of languages and corresponding classes of machines. Phrase structure languages and grammar. Types of grammar and classes of languages. Regular languages and finite state automata. Context-free languages and pushdown automata. Unrestricted languages and Turing Machines. Computability models of Turing, Church, Markov, and McCarthy. Applications to programming languages, compiler design, and program design and testing. Textbook Cohen DIA. Introduction to Computer Theory. 2nd edition. Wiley, 1996. References None. Course Goals To study equivalences between various kinds of language formalisms, e.g., regular expressions and finite automata, context-free grammars and pushdown automata, etc. To introduce and the basic notions of decidability and undecidability. To study practical aspects of these topics, e.g., pattern matching and finite automata, pushdown automata and compiler design, etc. Prerequisites by Topic Propositional and predicate logic (PHIL 230), discrete mathematics (MATH 326) and programming language concepts (COMP 232).  Major Topics Covered in the Course Various representations of regular languages and Kleenes theorem. Pumping lemma, Myhill-Nerode theorem and non-regular languages. Context free languages including pushdown automata, grammars, and their equivalence. Introduction to Turing Machines, recursive and recursively enumerable languages, and undecidability.  Laboratory projects (specify number of weeks on each) None. Estimate Curriculum Category Content (Semester hours) AreaCoreAdvancedAreaCoreAdvancedAlgorithms2Data Structures0.5Software DesignProg. Languages0.5Comp. Arch. Oral and Written Communications Every student is required to submit at least 0 written reports (not including exams, tests, quizzes, or commented programs) of typically 0 pages and to make 0 oral presentations of typically 0 minutes duration. Include only material that is graded for grammar, spelling, style, and so forth, as well as for technical content, completeness, and accuracy. Social and Ethical Issues Please list the topics that address the social and ethical implications of computing covered in all course sections. Estimate the class time spent on each topic. In what ways are the students in this course graded on their understanding of these topics (e.g., test questions, essays, oral presentations, and so forth)? None. Theoretical Content Please list the types of theoretical material covered, and estimate the time devoted to such coverage. Various representations of regular languages and Kleenes theorem 15 hours. Pumping lemma, Myhill-Nerode theorem and non-regular languages 3 hours. Context free languages including pushdown automata, grammars, and their equivalence 18 hours. Introduction to Turing Machines, recursive and recursively enumerable languages, and undecidability 9 hours. Problem Analysis Please describe the analysis experiences common to all course sections. None. Solution Design Please describe the design experiences common to all course sections. None. COURSE DESCRIPTION Dept., NumberCOMP 322/LCourse TitleIntroduction to Operating Systems and System Architecture and LabSemester hours3 + 1Course CoordinatorPeter GabrovskyURL (if any): Current Catalog Description Examination of the principle types of systems including batch, multi-programming and time-sharing. Discusses networked systems. Considers the salient problems associated with implementing systems including event driven systems, multi-tasking, storage and data base management, and input-output. Emphasizes some of the simple algorithms used to solve common problems such as deadlocks, queue service and multiple access to data. Projects are implemented to enforce the lectures. Textbook Silberschatz A, Galvin PB & Gagne G. Operating Systems Concepts. 7th edition. Wiley, 2004. Haviland K, Gray D, & Salama B. UNIX System Programming. 2nd edition. Addison Wesley, 1998. References Kelley A, & Pohl I. A Book on C. Programming in C. 4th edition. Addison Wesley, 1997. Sobell M. Unix System V: A Practical Guide to UNIX Systems. 3rd edition. Addison Wesley, 1994. Forouzan BA, & Gilberg RF. A Structured Approach Using C. 3rd edition. Course Technology, 2005.  Course Goals Provide an understanding of the functions of operating systems. Enable the student to write programs implementing selected aspects of an operating system. Prerequisites by Topic Basic knowledge of computer architecture, data structures, algorithm complexity and programming in a C-like language. (COMP 110/L, 182/L, 122/L, 222, 282) Major Topics Covered in the Course Process, disk, and memory management Time-sharing and concurrent processing Networks and distributed systems Deadlocks The UNIX operating system Laboratory projects (specify number of weeks on each) A program simulating wc utility (2) A program involving access to the stat and the password structures (3) A program using fork ( ) and pipe ( ) function calls (2) A program using recursive calls to (2) A program implementing semaphores and shared memory (3) All lab projects are implemented using the C programming language; C concepts are reviewed during selected lab sessions. Estimate Curriculum Category Content (Semester hours) AreaCoreAdvancedAreaCoreAdvancedAlgorithms.75Data Structures.75Software Design.75Prog. Languages1Comp. Arch..75 Oral and Written Communications Every student is required to submit at least 0 written reports (not including exams, tests, quizzes, or commented programs) of typically 0 pages and to make 0 oral presentations of typically 0 minutes duration. Include only material that is graded for grammar, spelling, style, and so forth, as well as for technical content, completeness, and accuracy. Social and Ethical Issues Please list the topics that address the social and ethical implications of computing covered in all course sections. Estimate the class time spent on each topic. In what ways are the students in this course graded on their understanding of these topics (e.g., test questions, essays, oral presentations, and so forth)? None Theoretical Content Please list the types of theoretical material covered, and estimate the time devoted to such coverage. None Problem Analysis Please describe the analysis experiences common to all course sections. See project assignments. Solution Design Please describe the design experiences common to all course sections. See project assignments. COURSE DESCRIPTION Dept., NumberCOMP 380/LCourse TitleIntroduction to Software Engineering and LabSemester hours2 + 1Course CoordinatorTaehyung (George) WangURL (if any): Current Catalog Description Concepts and techniques for systems engineering, requirements analysis, design, implementation and testing of large scale computer systems. Principles of software engineering for production of reliable, maintainable and portable software products. Emphasis on object-oriented analysis and design techniques. Topics include unit, integration and systems testing, configuration management, software quality assurance practices, and an introduction to Computer Aided Software Engineering (CASE).  Textbook Schach S. Object-Oriented and Classical Software Engineering. 7th edition. McGraw-Hill, 2006. References Bennett S, Skelton J, & Lunn K. Schaums Outline of UML. 2nd edition. McGraw-Hill, 2004. Course Goals A successful student will: Be able to apply a proper software process model for group projects. Be able to create a software product management plan. Be able to perform requirements analysis for a software group project. Be able to refine the requirements using UML use case descriptions. Be able to design group projects using UML class diagrams and sequence diagrams. Be able to translate detailed design into code by using an integrated development environment (IDE). Be able to develop testing plans including walk-through, unit testing, and product testing. Prerequisites by Topic Composite data types such as arrays, records, strings, and sets. Role of the abstract data type in program design. Definition, implementation, and application of data structures such as stacks, queues, linked lists, trees, and graphs. Recursion. Comparative study of sorting and searching algorithms. Advanced data structures (particularly persistent structures). Object-oriented design. Main memory structures: hash tables, trees. Architectural foundations for files. Large-scale sorting. Hash-based persistent structures. Indexed files. Introduction to databases. (completion of courses through COMP 282) Major Topics Covered in the Course Software engineering background and fundamental concepts. Software processes and corresponding models. Software requirements analysis and specification. Software design. Software implementation. Software testing and maintenance. Communication skills and teamwork. Modeling techniques and CASE tools. Software project planning and management. Laboratory projects (specify number of weeks on each) Students work in teams on software engineering projects dealing with requirements analysis, design, and implementation and testing. Depending on the instructor these projects may be integrated into a single term project or into several smaller projects lasting a few weeks. Students are required to present their work to the class and to submit product deliverables including requirements and design documents. Estimate Curriculum Category Content (Semester hours) AreaCoreAdvancedAreaCoreAdvancedAlgorithmsData StructuresSoftware Design3Prog. LanguagesComp. Arch. Oral and Written Communications Every student is required to submit at least 2 written reports (not including exams, tests, quizzes, or commented programs) of typically 4 pages and to make 1 oral presentations of typically 20 minutes duration. Include only material that is graded for grammar, spelling, style, and so forth, as well as for technical content, completeness, and accuracy. Social and Ethical Issues Please list the topics that address the social and ethical implications of computing covered in all course sections. Estimate the class time spent on each topic. In what ways are the students in this course graded on their understanding of these topics (e.g., test questions, essays, oral presentations, and so forth)? Software engineering code of ethics and professional practice 1 lecture hour. Test questions are used to evaluate students understanding. Theoretical Content Please list the types of theoretical material covered, and estimate the time devoted to such coverage. None. Problem Analysis Please describe the analysis experiences common to all course sections. Students are required to perform a comprehensive analysis of user requirements as part of a group software development project. Solution Design Please describe the design experiences common to all course sections. Students are required to complete a software design including class diagrams and sequence diagrams as part of a group software development project. XXX COMP 410 is missing; to be provided by Peter G COURSE DESCRIPTION Dept., NumberCOMP 421Course TitleThe UNIX Environment For ProgrammersSemester hours3Course CoordinatorJeffrey Allan WiegleyURL (if any): Current Catalog Description Usage of UNIX in a software development environment; rapid prototyping of large projects. Study available utilities, programming styles, efficiency issues, and operating system interfaces. Gain an advanced understanding of UNIX and its use in improving programmer productivity. Textbook Stevens RW, & Rago SA. Advanced Programming in the UNIX Environment. 2nd edition. Addison Wesley, 2005. References. Schwartz RL, & Christiansen T. Learning Perl. 2nd edition. O'Reilly, 1997. Newham C, & Rosenblatt B. Learning the Bash Shell. 3rd edition. O'Reilly, 1998. Make AO, & Talbott S. Managing Projects. 2nd edition. O'Reilly, 1991. Powers S, Peek S, & Peek J. Unix Power Tools. 3rd edition. O'Reilly, 2002. Butenhof DR. Programming with POSIX Threads. Addison Wesley, 1997. Nemeth E. Unix System Administration Handbook. 3rd edition. Prentice Hall, 2000. Course Goals Understand and use a wide variety of Unix utility programs. Implement application prototypes using Unix Use appropriate Unix environment software management tools Implement advanced Unix programming architectures. Prerequisites by Topic Knowledge of basic concepts regarding how an operating system internally works (COMP322/L). Major Topics Covered in the Course History of UNIX. Architecture and basic operating system organization/configuration. Process control and relationships. System calls and kernel features. Shared Libraries. Shell programming. Regular expressions. Unix filter utilities: sed, awk, grep, find, xargs, sort, wc, uniq, cut, test, etc. Programming with files and directories. Introduction to Perl. Command line argument processing (manual, getopt[long] and argp) Online manual pages. Daemonizing processes. POSIX signals. POSIX threads (pthreads). Interprocess Communication (semaphores, shared memory, pipes, sockets). Revision Control Systems (cvs, svn). Makefiles and auto configuration environments. X Windows protocol and widget toolkits. Laboratory projects (specify number of weeks on each) Shell prototype application, 4 weeks Perl application, 3 weeks Posix threaded concurrent processing, 4 weeks Estimate Curriculum Category Content (Semester hours) AreaCoreAdvancedAreaCoreAdvancedAlgorithms0.2Data Structures0.2Software Design1.3Prog. Languages0.8Comp. Arch.0.5 Oral and Written Communications Every student is required to submit at least 0 written reports (not including exams, tests, quizzes, or commented programs) of typically 0 pages and to make 0 oral presentations of typically 0 minutes duration. Include only material that is graded for grammar, spelling, style, and so forth, as well as for technical content, completeness, and accuracy. Social and Ethical Issues Please list the topics that address the social and ethical implications of computing covered in all course sections. Estimate the class time spent on each topic. In what ways are the students in this course graded on their understanding of these topics (e.g., test questions, essays, oral presentations, and so forth)? None Theoretical Content Please list the types of theoretical material covered, and estimate the time devoted to such coverage. Architecture of UNIX operating system as it applies to supporting programming and applications. Problem Analysis Please describe the analysis experiences common to all course sections. Selection and combination of proper utilities for problem solution. Solution Design Please describe the design experiences common to all course sections. Design and implement prototype solutions for common information or system administration task. Design and implement Perl solution for problem involving textual information extraction and reporting. Design and implement a threaded application to demonstrate asynchronous multi-threaded behavior. COURSE DESCRIPTION Dept., NumberCOMP 424Course TitleComputer System SecuritySemester hours3Course CoordinatorBrenda TimmermanURL (if any): Current Catalog Description Analysis of the need for computer system security, and the security techniques in operating systems, databases, and computer networks. Supporting techniques such as auditing, risk analysis, and cost-benefit tradeoffs are discussed. Textbook Pfleeger CP, & Pfleeger SL. Security in Computing. 3rd edition. Prentice Hall, 2002. References Selected current articles and papers. Course Goals To develop students communication skills about computer security through oral and written reports and group discussions. Students will be able to understand the functions and relationships of computer system security systems. Students will be able to understand and analyze security encryption mechanisms and be able to cite the strengths and weaknesses of the various encryption algorithms, and other security issues surrounding them. Students will understand the function of security controls such as firewalls, authentication, and intrusion detection devices. Students will be able to identify the vulnerabilities of computer systems, and how they can be protected. Students will understand the ethical and legal issues that arise from new technology related to computer security. Prerequisites by Topic Knowledge of basic operational aspects of an operating system (COMP322/L), basic data structures such as stacks, queues and linked lists (COMP 182/L and 282) and basic software engineering concepts (COMP 380/L). Major Topics Covered in the Course Applied Cryptography Threats to computer systems such as covert channels, Trojan Horses, and viruses Protection in networks and operating system including encryption systems and access control Security controls in networks and distributed systems Basic issues of administration of security in computer systems Legal and ethical issues Laboratory projects (specify number of weeks on each) None Estimate Curriculum Category Content (Semester hours) AreaCoreAdvancedAreaCoreAdvancedAlgorithms0.5Data StructuresSoftware DesignProg. LanguagesComp. Arch.0.25 Oral and Written Communications Every student is required to submit at least 2 written reports (not including exams, tests, quizzes, or commented programs) of typically 1 page and to make at least 2 oral presentations of 10 minutes duration. Include only material that is graded for grammar, spelling, style, and so forth, as well as for technical content, completeness, and accuracy. Social and Ethical Issues Please list the topics that address the social and ethical implications of computing covered in all course sections. Estimate the class time spent on each topic. In what ways are the students in this course graded on their understanding of these topics (e.g., test questions, essays, oral presentations, and so forth)? Students will understand the ethical and legal issues that arise from new technology related to computer security. They are graded by test questions, written assignments, and oral presentations. 5 lecture hours. Theoretical Content Please list the types of theoretical material covered, and estimate the time devoted to such coverage. None Problem Analysis Please describe the analysis experiences common to all course sections. Students will be able to analyze security mechanisms such as encryption and access control, and be able to cite the strengths and weaknesses of the various mechanisms, and the security issues surrounding them. Solution Design Please describe the design experiences common to all course sections. None COURSE DESCRIPTION Dept., NumberCOMP 429Course TitleComputer Network SoftwareSemester hours3Course CoordinatorJeffrey Allan WiegleyURL (if any): Current Catalog Description Basic software design and analysis considerations in networking computers into coherent, cooperating systems capable of processing computational tasks in a distributed manner. Network topology, routing procedures, message multiplexing and process scheduling techniques. Textbook Comer DE. Internetworking with TCP/IP, Principles, Protocols, and Architecture, Volume 1. 5th edition. Prentice Hall, 2005.  References Stevens RW. UNIX Network Programming. 2nd edition. Prentice Hall, 1998. Forouzan BA. Data Communications and Networking. McGraw Hill, January 2007. Tanenbaum AS. Computer Networks. 4th edition. Prentice Hall, 2002. Shay WA. Understanding Data Communications & Networks. 2nd edition. Wadsworth, 1998. Course Goals Understand computer network terminology and definitions Understand and Implement TCP/IP protocols. Prerequisites by Topic Knowledge of basic operational aspects of an operating system (COMP322/L). Major Topics Covered in the Course Introduction OSI model Internet and Physical addressing ARP, TCP, UDP, ICMP Protocols Routing Client/Server model Socket communication Laboratory projects (specify number of weeks on each) Router simulator, 6 weeks Client Server model, 3 weeks Estimate Curriculum Category Content (Semester hours) AreaCoreAdvancedAreaCoreAdvancedAlgorithms0.2Data Structures0.5Software Design0.5Prog. Languages0.2Comp. Arch.1.3 Oral and Written Communications Every student is required to submit at least 0 written reports (not including exams, tests, quizzes, or commented programs) of typically 0 pages and to make 1 oral presentations of typically 20 minutes duration. Include only material that is graded for grammar, spelling, style, and so forth, as well as for technical content, completeness, and accuracy. Social and Ethical Issues Please list the topics that address the social and ethical implications of computing covered in all course sections. Estimate the class time spent on each topic. In what ways are the students in this course graded on their understanding of these topics (e.g., test questions, essays, oral presentations, and so forth)? Ethical use of networks, 0.1 semester hours, graded in presentations and test questions. Theoretical Content Please list the types of theoretical material covered, and estimate the time devoted to such coverage. Calculation of CRC and checksum error checking information 0.1 semester hours CIDR topology design, 0.5 semester hours Problem Analysis Please describe the analysis experiences common to all course sections. Detect topology and network configuration errors. Solution Design Please describe the design experiences common to all course sections. Design proper CIDR network topologies for corporate/academic environments. Design and implement Client/Server applications using TCP/IP communication methods. Implement basic networking stack for router simulation. COURSE DESCRIPTION Dept., NumberCOMP 432Course TitleObject-Oriented ProgrammingSemester hours3Course CoordinatorG. Michael BarnesURL (if any):http://www.csun.edu/~renzo/cs432 Current Catalog Description Principles of object-oriented design and programming; object-oriented languages such as Simula, C++ and Smalltalk are compared to provide an understanding of the role of objects, methods, message passing, encapsulation, classes, inheritance and instance variables in a productive programming environment. Discusses language design and programming issues. Textbook Guzdial M,. Drafts of Squeak: Open Personal Computing for Multimedia. Chapters 14 (Download from http://www.iam.unibe.ch/~ducasse/FreeBooks/GuzdialBookDrafts/). Prentice-Hall, 2000. Liberty J. Programming C# : Building .NET Applications with C#. 4th edition. O'Reilly Media, Inc., 2005 Simpson J. On-line Python and TKinter Manuals. New Mexico Tech. (download from http://infohost.nmt.edu/tcc/help/pubs/lang.html) References Weisfeld M. The Object-Oriented Thought Process. SAMS, 2000. Budd T. An Introduction to Object-Oriented Programming. 3rd edition. Addison Wesley, 2002. Korienek G, Wrensch T & Dechow D. Squeak: A Quick Trip to ObjectLand. Addison Wesley, 2002. The Squeak web site http://www.squeak.org/ The Python Language site http://www.python.org/ Course Goals Compare, understand and use in the design and implementation of software the concept of Abstract Data Types (ADT) as defined in several current Object Oriented Programming Languages. Depending on the language, these ADTs would include: class, interface, generics, delegate, property, and event. Understand and use basic Object Oriented principles: information hiding, encapsulation, instance and class variables, aggregations (composition), inheritance (single, multiple, behavioral), polymorphism, meta-classes, and reflection. Compare, understand and use current Object Oriented Design techniques such as: CRC (Component Responsibility Collaborator), Design Patterns, and UML (Unified Modeling Language). Compare, understand and use class libraries from current Object Oriented Languages for standard development tasks (e.g., collections, graphical user interfaces for desktop and web applications, network database connection and query, security). Be able to implement representative software solutions incorporating 1520 abstract data types, in current object oriented programming languages (e.g., C#, Java, Python, Squeak). Know and be able to discuss source code translation issues pertaining to Object Oriented Languages in comparison to non-OOP languages. Know and be able to discuss the history, evolution, and contributions of earlier Object Oriented Programming languages: Simula, Smalltalk, and C++. Be able to discuss future trends in OOP languages and quickly learn future OOP concepts and languages. Prerequisites by Topic Basic knowledge of procedural and object-orient programming concepts and data structures. (COMP 110/L, 182/L, 232, 282) Major Topics Covered in the Course This course will examine Object-Oriented (OO) programming, languages, and design concepts: abstraction, information hiding, inheritance, polymorphism, properties, interfaces, indexers, delegates, events. The Unified Modeling Language (UML) class and sequence diagrams. The Squeak (Smalltalk) language: message sender and receivers; Collections classes: Bag, Set, Ordered Collection; meta classes; Morphic GUI classes. The C# language: properties, delegates, events, threads; generic collection classes and interfaces: ArrayList, Queue, IEnumerable, ISortable; WindowForms GUI classes: Form, Panel, Menu, ListView, TreeView, Grid; Stream classes: standard, files, networked; serialization, reflection. The Python language: dynamic binding; class scope; multiple inheritance; Tinker classes. Parsing and compilating Object Oriented programs. Midterm, final and reviews. Laboratory projects (specify number of weeks on each) Design and implement a next-event simulation of a robotic assembly line in Squeak/Smalltalk. Design should emphasize a decoupled design between queues and servers. A GUI framework is provided. (5 weeks) Design and implement a robot wars gaming environment in C#. Robots can have player specified strategies that incorporate a production system architecture. The design should incorporate use of delegates. A GUI framework is provided (6 weeks). Design and implement an OOP version of Conways Game of Life in Python. A Tinker based GUI framework is provided (3 weeks). Estimate Curriculum Category Content (Semester hours) AreaCoreAdvancedAreaCoreAdvancedAlgorithms0.25Data Structures0.25Software Design1.25Prog. Languages1.25Comp. Arch. Oral and Written Communications Every student is required to submit at least 0 written reports (not including exams, tests, quizzes, or commented programs) of typically 0 pages and to make 0 oral presentations of typically 0 minutes duration. Include only material that is graded for grammar, spelling, style, and so forth, as well as for technical content, completeness, and accuracy. Social and Ethical Issues Please list the topics that address the social and ethical implications of computing covered in all course sections. Estimate the class time spent on each topic. In what ways are the students in this course graded on their understanding of these topics (e.g., test questions, essays, oral presentations, and so forth)? None Theoretical Content Please list the types of theoretical material covered, and estimate the time devoted to such coverage. Parsing and compiling techniques for object oriented programming languages. (3 lecture hours). Problem Analysis Please describe the analysis experiences common to all course sections. For the Solution Design problems below, the class will discuss tradeoffs between OO class designs that maximize inheritance / reuse, minimize number of classes, and minimize number of data members.  Solution Design Please describe the design experiences common to all course sections. In class design exercises using CRC and UML techniques. Design a Geometry Shape class library for Square, Rectangle, Parallelogram, and trapezoid that provide perimeter and area information. Design a next event simulation assembly line, and a statistic gathering class design for use with next event simulation environment. Design several grid / chess board oriented problems such as: knights tour, 8 queens, wandering robots, and card playing problems such as war are done in class. COURSE DESCRIPTION Dept., NumberCOMP 440Course TitleDatabase Design Semester hours3Course CoordinatorSon PhamURL (if any):http://www.csun.edu/~spham/ COMP440/COMP440Index.html Current Catalog Description Database structure including: structure definition, data models, semantics of relations, and operation on data models. Database schemas: element definition, use and manipulation of the schema. Elements of implementation. Algebra of relations on a database. Hierarchical databases. Discussion of information retrieval, reliability, protection and integrity of databases. Textbook Silberschatz A, Korthe HF & Sudarshan S. Database System Concepts. 4th edition. McGraw Hill, 2001. References None. Course Goals The goal is to teach students how to use databases to construct applications. Details of database internals are kept to the minimum.  Prerequisites by Topic Teamwork experience on a large project, exposure to software engineering concepts (COMP 380/L) Advanced Data Structure (e.g, B+ tree) (COMP 282) Experience with web page design Knowledge of MS Access or similar Knowledge of ASP and Applets is recommended Major Topics Covered in the Course Design (normal form, dependencies, decomposition, etc..) SQL Language Algebra & calculus representation ERD Project requirements Integrity and Security Relational vs. Object database Indexing and Hashing Transactions Optimization Laboratory projects (specify number of weeks on each) Project 1: 2 weeks: exposure to 3 tier system, reading document, and installation Project 2: 2 weeks: modify the source, extract and manipulate database and display on web Project 3: team of 2-3 students: (7 week) design a real life application. Present, evaluate presentation and submit documentation Estimate Curriculum Category Content (Semester hours) AreaCoreAdvancedAreaCoreAdvancedAlgorithms1Data StructuresSoftware Design1Prog. Languages1Comp. Arch. Oral and Written Communications Every student is required to submit at least 3 written reports (not including exams, tests, quizzes, or commented programs) of typically 2 to 50 pages and to make 2 oral presentations of typically 60 minutes duration. Include only material that is graded for grammar, spelling, style, and so forth, as well as for technical content, completeness, and accuracy. Social and Ethical Issues Please list the topics that address the social and ethical implications of computing covered in all course sections. Estimate the class time spent on each topic. In what ways are the students in this course graded on their understanding of these topics (e.g., test questions, essays, oral presentations, and so forth)? None. Theoretical Content Please list the types of theoretical material covered, and estimate the time devoted to such coverage. Theory of database design (5 weeks); performance and optimization issues: (2 weeks) Problem Analysis Please describe the analysis experiences common to all course sections. Hand-on projects will help students to start from the scratch to use the current resources on the web and build their projects using the knowledge of database in class. Solution Design Please describe the design experiences common to all course sections. Each team of 4-5 students will meet regularly to design the database problem. They also use their forum as a common place to post their ideas, the solutions, and their reports. All of the above are private. However, they do have a public section for the difficult problems in implementation so that they can share with other teams. COURSE DESCRIPTION Dept., NumberCOMP 450Course TitleSocietal Issues in ComputingSemester hours3Course CoordinatorRobert McIlhennyURL (if any): Current Catalog Description Survey course on the role of the digital computer in modern society. The dangers of the misuse of computers (as in invasion of privacy), as well as the proper and intelligent use of the machines, are discussed. Textbook Quinn MJ. Ethics for the Information Age. 2nd edition. Addison-Wesley, 2005. References None Course Goals To familiarize students with ethical issues dealing with computing, such as software piracy, freedom of speech on the Internet, hacking, unreliable systems. To enable students to present both orally and in written form a topic related to social issues To help students develop personal standards of judgment regard ethical computing. Prerequisites by Topic Understanding of techniques of software design (COMP 380/L) and proficiency in writing (completion of upper division writing exam) Major Topics Covered in the Course Computer ethics Computer crime Software piracy Hacking/viruses Unreliable computing Invasion of privacy Freedom of speech Workplace ethics Laboratory projects (specify number of weeks on each) None Estimate Curriculum Category Content (Semester hours) AreaCoreAdvancedAreaCoreAdvancedAlgorithmsData StructuresSoftware DesignProg. LanguagesComp. Arch. Social and Ethical Issues Please list the topics that address the social and ethical implications of computing covered in all course sections. Estimate the class time spent on each topic. In what ways are the students in this course graded on their understanding of these topics (e.g., test questions, essays, oral presentations, and so forth)? The entire course focuses on social and ethical these issues: Computer ethics: 10% Computer crime: 20% Software piracy: 10% Hacking/viruses: 10% Unreliable computing: 10% Invasion of privacy: 10% Freedom of speech: 20% Workplace ethics: 10% Theoretical Content Please list the types of theoretical material covered, and estimate the time devoted to such coverage. None Problem Analysis Please describe the analysis experiences common to all course sections. None Solution Design Please describe the design experiences common to all course sections. None COURSE DESCRIPTION Dept., NumberCOMP 465/LCourse TitleComputer Graphic Systems and Design and LabSemester hours2 + 1Course CoordinatorGloria MelaraURL (if any):www.ecs.cscun.edu/~glazik Current Catalog Description Fundamental concepts of computer graphics. Graphics devices; graphics languages; interactive systems. Applications to art, science, engineering and business. Trade-offs between hardware devices and software support. Textbook Angel E. Interactive Computer Graphics, A Top-Down Approach with OpenGL. 4th edition. Addison Wesley Longman, 2005. References Angel E. OpenGL, A Primer. 2nd edition. Addison Wesley Longman, 2002. Angel E. OpenGL Programming Guide. 3rd edition. Addison Wesley Longman, 1999. Course Goals To develop a basic understanding of a graphics system concepts by writing simple programs in OpenGL. This includes system design, mathematical models, lighting, transformations, viewing models, Prerequisites by Topic Knowledge of advanced data structures (COMP 282) and exposure to software engineering concepts (COMP 380/L) Major Topics Covered in the Course In addition to using the basics of OpenGL, the course will still cover the underlying principles behind many of the more salient tools used in current graphics, such as modeling in both model and world coordinate systems, synthetic cameras and the transformations employed to move from one system to the other. This includes the theory behind as well as the practical application of translation, rotation, and scaling matrices. It also includes perspective transformations. Interactive techniques using the keyboard and mouse will be examined and implemented. Surface representations using mathematical representations such as B-splines, Bezier Curves and Nurbs will be examined. Throughout the semester, selected lectures will be devoted to in-lab demonstrations such as the use of a simple digitizer to convert physical models into computer models and examples of popular programs that students may obtain at heavily discounted prices for their education use will be demonstrated. These include Maya and AC3D for animation, SolidWorks for CAD, and Rhino3D for industrial design using Nurbs. Laboratory projects (specify number of weeks on each) Typical assignments include: Simple one-dimensional shapes (1) Windows, Viewports (1) Transformations, Interaction (1) Three-dimensional models (1 to 2) Lighting (1) Scene Graphics (4 to 6) Estimate Curriculum Category Content (Semester hours) AreaCoreAdvancedAreaCoreAdvancedAlgorithms1.5Data Structures1Software DesignProg. Languages0.5Comp. Arch. Oral and Written Communications Every student is required to submit at least 0 written reports (not including exams, tests, quizzes, or commented programs) of typically 0 pages and to make 1 oral presentations of typically 10-15 minutes duration. Include only material that is graded for grammar, spelling, style, and so forth, as well as for technical content, completeness, and accuracy. Social and Ethical Issues Please list the topics that address the social and ethical implications of computing covered in all course sections. Estimate the class time spent on each topic. In what ways are the students in this course graded on their understanding of these topics (e.g., test questions, essays, oral presentations, and so forth)? None. Theoretical Content Please list the types of theoretical material covered, and estimate the time devoted to such coverage. Mathematical spaces and transformations performed thereon. Typically two to three lectures are allocated per topic. Problem Analysis Please describe the analysis experiences common to all course sections. Analyze and design solutions to simple graphics problems involving data structures, culminating in one major scene graphics problem involving multiple three-dimensional objects in a scene which must be manipulated through the use of menus and the computers mouse. Solution Design Please describe the design experiences common to all course sections. Analysis of problem, followed by implementation of programs in C/C++ and OpenGL to perform the requested actions. COURSE DESCRIPTION Dept., NumberCOMP 467/LCourse TitleMultimedia Systems Design and LabSemester hours3Course CoordinatorGloria MelaraURL (if any): Current Catalog Description Study of fundamentals of multimedia storage, processing, communication, presentation, and display by digital means with emphasis on audio, still images and video media. Includes sampling theory, compression techniques and synchronization. Discussion of hypermedia and methodology issues. Multimedia programming; software tools for authoring multimedia applications and interfaces. Textbook Notes from Havaldar & Medioni To be published Spring 2007 XXX References Jeffay K, & Zhang HJ. Readings in Multimedia Computing and Networking. Morgan Kaufmann, 2001. Gonzales R, Woods RE, & Eddins SL. Digital Image Processing using MATLAB. Prentice Hall, 2003. Course Goals To develop a basic understanding and skills to better manage digital media, including processing, compressing to store or distribute, and delivery multimedia  Prerequisites by Topic Exposure to software engineering concepts (COMP 380/L). Major Topics Covered in the Course Data Acquisition Media Representation and Formats Color Models: uses, strengths, limitations and conversions Classical compression algorithms for lossless and lossy compression applied to different media: audio, text, images, graphics, videos Current standards: JPEG and MPEG family Laboratory projects (specify number of weeks on each) Typical assignments include: Media acquisition (images, video, etc): 1 week Authoring tools: 3-4 weeks Transformations, Interaction: 1 week Compression: 5 to 6 weeks Research papers: 2 week Estimate Curriculum Category Content (Semester hours) AreaCoreAdvancedAreaCoreAdvancedAlgorithms1.5Data Structures0.5Software Design0.5Prog. LanguagesComp. Arch. Oral and Written Communications Every student is required to submit at least 0 written reports (not including exams, tests, quizzes, or commented programs) of typically 0 pages and to make 1 oral presentations of typically 10-15 minutes duration. Include only material that is graded for grammar, spelling, style, and so forth, as well as for technical content, completeness, and accuracy. Social and Ethical Issues Please list the topics that address the social and ethical implications of computing covered in all course sections. Estimate the class time spent on each topic. In what ways are the students in this course graded on their understanding of these topics (e.g., test questions, essays, oral presentations, and so forth)? Watermarking as copyright protection, one class period. Theoretical Content Please list the types of theoretical material covered, and estimate the time devoted to such coverage. Entropy Compression algorithms Statistics based code: Huffman, Arithmetic, and Shano-Fano coding Dictionary based coding: Lepel Ziv Welch Main standards: JPEG, MPEG Color Models and conversions Problem Analysis Please describe the analysis experiences common to all course sections. Analyze best compression approach according to media attributes and environment constraints. Solution Design Please describe the design experiences common to all course sections. Research design/use of measurement to categorize the media from simple histograms to elaborated transforms CODEC results.  COMP 469 is missing; to be provided by Peter G XXX COURSE DESCRIPTION Dept., NumberCOMP 480/LCourse TitleSoftware System Development and LabSemester hours2 + 1Course CoordinatorRobert LingardURL (if any): Current Catalog Description A project-oriented course to allow students to apply their knowledge of software engineering to the design of a large software system. The student (together with other team members) will identify a suitable computer problem, examine various methods of attacking it, choose a suitable one, and realize a solution in an appropriate computer language. Textbook Pressman RS. Software Engineering: A Practitioner's Approach. 6th Edition. McGraw Hill, 2004. References Humphrey WS. Introduction to the Personal Software Process. Addison Wesley, 1996. Course Goals Students will learn to work in teams to develop a software system. Students will gain experience in specifying software requirements, producing software designs, implementing software solutions, and testing the solutions to real world problems. Students will prepare and review documentation appropriate to the software development process, and orally present the results of the development effort to peers and customers. Prerequisites by Topic Understanding of the fundamental concepts of algorithms and programming Understanding of advanced data structures Competence in writing computer programs Understanding of the fundamental concepts and principles of software engineering Competence in both written and oral communication (covered by courses leading up and through COMP 380/L) Major Topics Covered in the Course Software requirements analysis and specification Architectural design of large software systems Detailed design and implementation of software systems Debugging and testing of software solutions Software reviews and inspections Risk management Software quality assurance Software configuration management Software project management (estimation, scheduling, tracking) Documentation and presentation techniques Laboratory projects (specify number of weeks on each) There is a single team oriented software development project in the course. It covers the entire 15 weeks. The project goal is to build a complete working software system, beginning with the gathering of requirements and ending with the demonstration of working (and tested) software for some real world problem. Estimate Curriculum Category Content (Semester hours) AreaCoreAdvancedAreaCoreAdvancedAlgorithmsData StructuresSoftware Design3Prog. LanguagesComp. Arch. Oral and Written Communications Every student is required to submit at least 2 written reports (not including exams, tests, quizzes, or commented programs) of typically 5 pages and to make 1 oral presentations of typically 15 minutes duration. Include only material that is graded for grammar, spelling, style, and so forth, as well as for technical content, completeness, and accuracy. Social and Ethical Issues Please list the topics that address the social and ethical implications of computing covered in all course sections. Estimate the class time spent on each topic. In what ways are the students in this course graded on their understanding of these topics (e.g., test questions, essays, oral presentations, and so forth)? Interacting with customers/users to understand their needs and the implications of the software to be developed on them. (2 lecture hours) Privacy and security issues are addressed in the analysis and design of the software. (2 lecture hours) Project presentations, weekly activity reports, peer reviews, and exam questions measure the students understanding of these topics. Theoretical Content Please list the types of theoretical material covered, and estimate the time devoted to such coverage. Cost analysis and estimation (3 lecture hours) Risk analysis (3 lecture hours) Software testing and reliability (3 lecture hours) Quality assurance (2 lecture hours) Problem Analysis Please describe the analysis experiences common to all course sections. Each team of approximately five students selects and proposes a project, then analyzes the system/software requirements. This requirements analysis is formally documented and reviewed and provides the basis for the software design Solution Design Please describe the design experiences common to all course sections. Based on a comprehensive Problem Analysis, each student team develops and documents a complete architectural design for the proposed software system. The design includes both written descriptions and appropriate diagrams to provide the basis for detailed design and implementation of individual components of the system. Both the architectural and detailed designs are reviewed and revised as necessary. Each member of the team is required to make individual contributions to the design effort. COURSE DESCRIPTION Dept., NumberCOMP 484/L (also known as COMP 496EBT)Course TitleE-Business Technologies and LabSemester hours2 + 1Course CoordinatorShan BarkatakiURL (if any):http://www.csun.edu/~shan/comp484/ default.htm  Current Catalog Description Internet infrastructure and the underlying networking technologies. Study of system and software architectures for e-business/ e-commerce systems. Principles of website design. Advances in web-engineering technologies. Principles of web-based based transaction processing. XML and the associated technologies. Web service technology. Security and privacy issues. Study of the emerging internet technologies. Lab: three hours per week.  Textbook Deitel HM, Deitel PJ, & Goldberg AB. Internet & World Wide Web How to Program. 3rd edition. Prentice Hall, 2003. References Bentrum J, & Whatley J. Building e-Commerce Sites with the .NET Framework. Sams, 2001. Tomsen M, & Tomsen M-I. Killer Content: Strategies for Web Content and E-Commerce. Addison Wesley, 2000. Cattell R, & Inscore J. J2EE"! Technology in Practice: Building Business Applications with the Java"! 2 Platform. Enterprise Edition. Pearson Education, 2001. Parsons A, & Randolph N. Professional Visual Studio 2005. Wrox, 2006. Menasc DA. A reference model for designing a curriculum for e-commerce. IEEE Concurrency, March 2000 (http://cs.gmu.edu/~menasce/papers/menasce-ieee-concurrency.pdf ) Course Goals Enable students to learn the current software technologies related to design, implementation and management of e-business systems. Survey of the internet infrastructure and different types of e-business systems. Hardware and software architectures for enterprise level e-business systems. Client and server side programming for e-business applications. Session and cookie management. Web based transaction processing with remote database access. Security and privacy protection. Survey of the emerging internet technologies. Prerequisites by Topic Knowledge of basic operational aspects of an operating system (COMP322/L) and basic software engineering concepts (COMP 380/L). Major Topics Covered in the Course Internet architecture- backbone, internet service providers (regional and local), domain and name servers. Computer networking essentials including TCP/IP Different types of e-business systems. Server architectures: Operating system requirements, front-end servers, firewalls, backend servers, application servers, performance and load balancing, reliability and availability considerations, integration with legacy systems. Client side programming: Advanced HTML programming using dynamic HTML. Browser based object and event models. Programming client side applications. Installing and managing internet server software. Server side programming: Server object model. Active server pages, Session and cookie management. Web based transaction processing including access to databases. Security issues: Routers, proxy servers, and firewalls. Application of encryption and decryption technologies in e-business systems. Secure socket layer. Survey of the emerging internet technologies: Extended Markup Language (XML), web-services, J2EE, .Net, next generation internet. Laboratory projects (specify number of weeks on each) 2.5 hours per week Creating file based websites, form processing and event handling web sites using rudimentary tools with client side scripting. Creating sophisticated websites using a professional website creating tool, using templates and themes. Deploying websites on a server and server management Developing server side applications using C# or similar languages and .net framework Developing 3-tiered e-commerce application Developing and deploying web services and client applications for consuming the deployed web service. Estimate Curriculum Category Content (Semester hours) AreaCoreAdvancedAreaCoreAdvancedAlgorithms0.3Data Structures0.4Software Design1Prog. Languages1Comp. Arch.0.3 Oral and Written Communications Every student is required to submit at least 2 written reports (not including exams, tests, quizzes, or commented programs) of typically 5 pages and to make 0 oral presentations of typically N/A minutes duration. Include only material that is graded for grammar, spelling, style, and so forth, as well as for technical content, completeness, and accuracy. Social and Ethical Issues Please list the topics that address the social and ethical implications of computing covered in all course sections. Estimate the class time spent on each topic. In what ways are the students in this course graded on their understanding of these topics (e.g., test questions, essays, oral presentations, and so forth)? None. Theoretical Content Please list the types of theoretical material covered, and estimate the time devoted to such coverage. None. Problem Analysis Please describe the analysis experiences common to all course sections. Analysis needed to devise internet based software solutions from problem statements. Solution Design Please describe the design experiences common to all course sections. Design, implementation, testing, and deployment of websites with dynamic content. Design, implementation, testing, and deployment of e-business applications involving user interface design, business layer resident on a server, and persistent layer using databases. COURSE DESCRIPTION Dept., NumberCOMP 485Course TitleMultimedia SystemsSemester hours3Course CoordinatorGloria MelaraURL (if any): Current Catalog Description Examines the information exchange between humans and computer systems. Discusses aspects of input/output devices, software engineering, and human factors with respect to human-computer interactions. Topics include: text and graphic display; user modeling program design, debugging, complexity, and comprehension; and current research studies and methodologies. Textbook Heim Steven, The Resonant Interface; HCI Foundations for Interaction Design, Addison Wesley, 2006 (Beta release).  References Norman Don, The Psychology of Everyday Things, The MIT Press, 2002. Shneiderman Ben, Leonardo's Laptop, The MIT Press, 2003. Course Goals Upon completion of this course, the student should be able to understand the scope of issues affecting Human-Computer Interaction by: Demonstrating an understanding of guidelines, principles, and theories influencing human computer interaction. Recognizing how a computer system may be modified to include human diversity. Selecting an effective style for a specific application. Designing mock ups and carry out user and expert evaluation of interfaces. Carrying out the steps of experimental design, usability and experimental testing, and evaluation of human computer interaction systems. Using the information sources available, and being aware of the methodologies and technologies supporting advances in HCI. Prerequisites by Topic Knowledge of basic software engineering concepts (COMP 380/L). Major Topics Covered in the Course Interaction paradigms and theories Interaction models and styles Interaction design process and interaction design models Design principles Guidelines, principles, theories and laws Heuristic evaluation Usability issues including ADA compliance Input and output devices WIMP and text Experimental research Laboratory projects (specify number of weeks on each) N/A Estimate Curriculum Category Content (Semester hours) AreaCoreAdvancedAreaCoreAdvancedAlgorithms0.5Data StructuresSoftware Design2Prog. Languages0.5Comp. Arch. Oral and Written Communications Every student is required to submit at least 0 written reports (not including exams, tests, quizzes, or commented programs) of typically 0 pages and to make 0 oral presentations of typically 0 minutes duration. Include only material that is graded for grammar, spelling, style, and so forth, as well as for technical content, completeness, and accuracy. Social and Ethical Issues Please list the topics that address the social and ethical implications of computing covered in all course sections. Estimate the class time spent on each topic. In what ways are the students in this course graded on their understanding of these topics (e.g., test questions, essays, oral presentations, and so forth)? Recognize how a computer system may be modified to include human diversity by attending the assistive technology conference hosted by CSUN and writing an essay of this experience. Theoretical Content Please list the types of theoretical material covered, and estimate the time devoted to such coverage. Guidelines, principles, theories and laws on usability and predicting efficiency (6 lecture hours) Experimental research (5 lecture hours) Problem Analysis Please describe the analysis experiences common to all course sections. Task analysis to include human diversity; design, and implementation of course manager application. Solution Design Please describe the design experiences common to all course sections. Paper mockup, usability test and implementation of a course manager task. COURSE DESCRIPTION Dept., NumberCOMP 496NSPCourse TitleAdvanced Networking and Security ProjectSemester hours3Course CoordinatorJeffrey Allan Wiegley URL (if any): Current Catalog Description Develop their critical reasoning and cognitive skills through hands on experience in network configuration and management and implementation of real life projects in an experimental lab environment. Through team work and problem solving, they get first hand information on the functions and relationships of network hubs, switches, routers, gateways, bridges, and ports. They learn to configure their systems and become familiar with the strengths and weaknesses of the various mechanisms, the security issues surrounding the network mechanisms (vulnerabilities, threats, and attacks) and security controls such as firewalls, authentication, and some intrusion detection devices. They learn the vulnerabilities of the various ports and switches, and how they can be protected. They participate in projects that include applications of the hardware and software, and other network technologies for implementing and protecting e-commerce systems. Textbook Nemeth E, Snyder G, Seebass S, & Hein TR. UNIX System Administration Handbook. 3rd edition. Prentice Hall, 2000. References  Course Goals Operate corporate networking and computing infrastructures. Defend against technological based threats. Communicate security and maintenance needs effectively. Prerequisites by Topic Fundamental knowledge of computer system security issues (COMP 424) and computer networking concepts (COMP 429). Major Topics Covered in the Course Windows XP/UNIX installation Basic network equipment installation DNS architecture and configuration HTTP service configuration SMTP service configuration Database integration in network systems Backup strategies Security implementation for common services Firewall/ACL policies and implementations Intrusion detection methods Laboratory projects (specify number of weeks on each) Semester long deployment and maintenance of corporate infrastructure and e-commerce system. 16 weeks Estimate Curriculum Category Content (Semester hours) AreaCoreAdvancedAreaCoreAdvancedAlgorithms0.2Data Structures0.1Software Design0.2Prog. Languages0.5Comp. Arch.2.0 Oral and Written Communications Every student is required to submit at least 30 written reports (not including exams, tests, quizzes, or commented programs) of typically 1 pages and to make 0 oral presentations of typically 0 minutes duration. Include only material that is graded for grammar, spelling, style, and so forth, as well as for technical content, completeness, and accuracy. Social and Ethical Issues Please list the topics that address the social and ethical implications of computing covered in all course sections. Estimate the class time spent on each topic. In what ways are the students in this course graded on their understanding of these topics (e.g., test questions, essays, oral presentations, and so forth)? Ethics of illegal computer usage and defense against such. 1.0 semester hours, graded by lab performance and essays. Theoretical Content Please list the types of theoretical material covered, and estimate the time devoted to such coverage. None Problem Analysis Please describe the analysis experiences common to all course sections. Students are constantly responsible for the monitoring and analysis of their infrastructure system for security and performance. Students analyze other competing students to identify vulnerable areas. Solution Design Please describe the design experiences common to all course sections. Design and deployment of solutions to prevent competitors from successfully attacking infrastructure. Design and deployment of tools, utilities and ideas for exploiting vulnerabilities of competing infrastructure. Design and deploy solutions to correct and repair problems caused by competitors. COURSE DESCRIPTION Dept., NumberCOMP 496SSWCourse TitleSecure Software EngineeringSemester hours3Course CoordinatorBrenda TimmermanURL (if any): Current Catalog Description Concepts and techniques for secure software engineering. Students will enhance their knowledge of the rules of software engineering and learn guiding principles for the production of software that is secure. Topics include security risk management for software, software metrics, open source vs. closed source, security auditing of software, access control, strategies for firewalls, trust management, and client-side security, with an emphasis on the principles and practices of software security. Textbook Viega J, & McGraw G. Building Secure Software: How to Avoid Security Problems the Right Way. Addison-Wesley, 2001. References Selected Papers, Current Articles, and Manuals in Computer Security and Software Engineering Course Goals Students will be familiar with the guiding principles and practices for building secure software and will learn to apply them in their own software engineering. Students will understand the importance of risk management for security and learn how to apply it in practice. Students will learn to analyze the tradeoffs when selecting technologies and learn how these choices may affect the security of the product. Students will have a thorough understanding of buffer overflows and race conditions and learn how to avoid them in their own software engineering. Students will understand the importance of security audits of software early in the development process. Students will learn the strategies of firewalls and how these strategies may impact the applications they are developing. Students will have comprehensive understanding of trust management and client-side security and know why they are important. Prerequisites by Topic Fundamental knowledge of computer system security issues (COMP 424) and software engineering (COMP 380/L). Major Topics Covered in the Course Students will enhance their knowledge of the rules of software engineering and learn guiding principles for the production of software that is secure. Topics include: security risk management for software software metrics open source vs. closed source security auditing of software access control strategies for firewalls trust management, and client-side security with an emphasis on the principles and practices of software security Laboratory projects (specify number of weeks on each) Applying Principles of Software Security (Five weeks) Software metrics Cryptography Trust management Input validation Client-side security Estimate Curriculum Category Content (Semester hours) AreaCoreAdvancedAreaCoreAdvancedAlgorithms0.2Data StructuresSoftware Design1.5Prog. LanguagesComp. Arch. Oral and Written Communications Every student is required to submit at least 3 written reports (not including exams, tests, quizzes, or commented programs) of typically 1 page and to make 1 oral presentation of typically 30 minutes duration and at least 2 oral presentations of 10 minutes duration. Include only material that is graded for grammar, spelling, style, and so forth, as well as for technical content, completeness, and accuracy. Social and Ethical Issues Please list the topics that address the social and ethical implications of computing covered in all course sections. Estimate the class time spent on each topic. In what ways are the students in this course graded on their understanding of these topics (e.g., test questions, essays, oral presentations, and so forth)? Students will be able to analyze the ethical and legal issues that arise from software problems related to computer security. They are graded by test questions, written assignments, and oral presentations. 5 hours/ semester Theoretical Content Please list the types of theoretical material covered, and estimate the time devoted to such coverage. None Problem Analysis Please describe the analysis experiences common to all course sections. Analyze the ethical and legal issues that arise from software problems related to computer security. Understand the guiding principles and practices for building secure software and will learn to apply them in their own software engineering. Analyze the tradeoffs when selecting technologies and learn how these choices may affect the security of the product. Understand the strategies of firewalls and how these strategies may impact the applications they are developing  Solution Design Please describe the design experiences common to all course sections. Students will use secure software development practices to design and implement a secure application that applies principles of software security software metrics including cryptography, trust management, input validation, and client-side security COURSE DESCRIPTION Dept., NumberCOMP 529Course TitleAdvanced Network TopicsSemester hours3Course CoordinatorJeffrey Allan WiegleyURL (if any): Current Catalog Description Advanced course on design and analysis of high-speed networks (Broadband ISDN and Asynchronous Transfer Mode [ATM] networks) and their protocols. Topics include: multimedia services integrating techniques including synchronous and asynchronous transfer modes. ATM standards. ATM switch architecture, ATM network traffic control, ATM experimental networks, high-speed LAN/MANs, internetworking with high-speed networks, and simulation techniques. Textbook None, seminar format based on References. References Lui, SM & Kwok SH. Interoperability of peer-to-peer file sharing protocols. ACM SIGecom Exchanges. Vol. 3, No. 3. August 2002; 25- 33. http://portal.acm.org/citation.cfm?id=844350&jmp=cit&coll=portal&dl=ACM&CFID=68325835&CFTOKEN=91553814#CIT accessed 10 February 2006. Parameswaran, M, Susarla A, & Whinston AB. P2P Networking: An Information-Sharing Alternative. Computer, Vol. 34, Issue 7. July 2001, 31-38. http://ieeexplore.ieee.org/search/srchabstract.jsp?arnumber=933501&isnumber=20203&punumber=2&k2dockey=933501@ieeejrns&query=%28%28p2p+networking%3A+an+information+sharing+alternative%29%3Cin%3Emetadata%29&pos=0 accessed 11 February 2006. Zhang H, Goel A & Govindan R. Using the Small-World Model to Improve Freenet Performance. Computer Networks, Vol. 46, Issue 4. November 2004, 555- 574. http://www.sciencedirect.com/science?_ob=ArticleURL&_udi=B6VRG-4CTJ46J-1&_coverDate=11%2F15%2F2004&_alid=365229559&_rdoc=1&_fmt=&_orig=search&_qd=1&_cdi=6234&_sort=d&view=c&_acct=C000059568&_version=1&_urlVersion=0&_userid=521393&md5=e829e553b514d4c77c5c95c50346e6de accessed 12 February 2006. IEEE 802.11 MAC Protocol over Wireless Mesh Networks: Problems and Perspectives http://csdl2.computer.org/persagen/DLAbsToc.jsp?resourcePath=/dl/proceedings/aina/&toc=comp/proceedings/aina/2005/2249/02/2249toc.xml&DOI=10.1109/AINA.2005.206 Metropolitan-Scale Wi-Fi Mesh Networks http://ieeexplore.ieee.org.libproxy.csun.edu:2048/iel5/2/30050/01377058.pdf?tp=&arnumber=1377058&isnumber=30050 Secure Data Transmission in Mobile Ad Hoc Networks* http://citeseer.ist.psu.edu/640607.html The Nominal Capacity of Wireless Mesh Networks* http://ieeexplore.ieee.org.libproxy.csun.edu:2048/iel5/7742/27826/01241089.pdf?tp=&arnumber=1241089&isnumber=27826  Course Goals Understand Asynchronous Transfer Mode networks. Understanding advanced uses and types of network systems. Prerequisites by Topic Fundamental knowledge of computer networking (COMP429) and probability/statistics (MATH 340 or 341). Major Topics Covered in the Course Advances in Overlay Networks Advances in Peer-to-Peer Networks Advances in Wireless Networks Advances in Wireless Networks Advances in Home Networking: Advances in Data Communications in Cellular Networks Advances in Network Security Advances in Network Security Advances in Network Security Advances in Network Security Advances in Quality of Service Advances in Transport Layer Advances in Transport Layer Advances in Transport Layer Advances in Optical Networks Advances in Network Research Laboratory projects (specify number of weeks on each) None Estimate Curriculum Category Content (Semester hours) AreaCoreAdvancedAreaCoreAdvancedAlgorithms0.4Data Structures0.1Software Design1.0Prog. LanguagesComp. Arch.1.5 Oral and Written Communications Every student is required to submit at least 1 written reports (not including exams, tests, quizzes, or commented programs) of typically 1 pages and to make 1 oral presentations of typically 30 minutes duration. Include only material that is graded for grammar, spelling, style, and so forth, as well as for technical content, completeness, and accuracy. Social and Ethical Issues Please list the topics that address the social and ethical implications of computing covered in all course sections. Estimate the class time spent on each topic. In what ways are the students in this course graded on their understanding of these topics (e.g., test questions, essays, oral presentations, and so forth)? Coverage of emerging network usage ethical issues, file sharing, etc. 0.2 semester hours, graded in oral presentation. Theoretical Content Please list the types of theoretical material covered, and estimate the time devoted to such coverage. ATM protocol Wireless communication protocols Research development efforts in emerging network technologies. Problem Analysis Please describe the analysis experiences common to all course sections. None Solution Design Please describe the design experiences common to all course sections. None COURSE DESCRIPTION Dept., NumberCOMP 560Course TitleExpert SystemsSemester hours3Course CoordinatorPeter GabrovskyURL (if any): Current Catalog Description Extensive introduction to the concepts and techniques of expert systems. Rational for such systems including evaluation of prospective domains. Explores existing systems, those under development and likely future areas. Basic architecture is demonstrated using both example and rule-based systems. Commercial tools for building expert systems are being surveyed and evaluated. Of special concern are knowledge acquisition methods. Guidelines are given for planning and managing development projects. Textbook Bratko I. Prolog Programming for Artificial Intelligence. 3rd edition. Addison Wesley, 2000. References Giarratano JC, & Riley GD. Expert Systems: Principles and Programming. 4th edition. Course Technology, 2004. Course Goals Understanding of the goals of expert systems Know the areas of applications Understanding of the mechanism of meta-level interpreters using non-standard logics Prerequisites by Topic Logic programming (COMP 410); knowledge representation techniques; search algorithms (COMP 469). Major Topics Covered in the Course Natural language interface Explanation facilities Inference engines based on various standard and non-standard logics An example of an expert system shell. Laboratory projects (specify number of weeks on each) None Estimate Curriculum Category Content (Semester hours) AreaCoreAdvancedAreaCoreAdvancedAlgorithms1Data Structures1Software Design0.5Prog. Languages0.5Comp. Arch. Oral and Written Communications Every student is required to submit at least 0 written reports (not including exams, tests, quizzes, or commented programs) of typically 0 pages and to make 0 oral presentations of typically 0 minutes duration. Include only material that is graded for grammar, spelling, style, and so forth, as well as for technical content, completeness, and accuracy. XXX Social and Ethical Issues Please list the topics that address the social and ethical implications of computing covered in all course sections. Estimate the class time spent on each topic. In what ways are the students in this course graded on their understanding of these topics (e.g., test questions, essays, oral presentations, and so forth)? None Theoretical Content Please list the types of theoretical material covered, and estimate the time devoted to such coverage. Symbolic Logic Theories (first, higher-order, many-valued, fuzzy, modal and temporal) Proof Theory; knowledge representation (semantic networks, attribute value pairs, frames). Problem Analysis Please describe the analysis experiences common to all course sections. None Solution Design Please describe the design experiences common to all course sections. None COURSE DESCRIPTION Dept., NumberCOMP 565Course TitleAdvanced Computer GraphicsSemester hours3Course CoordinatorG. Michael BarnesURL (if any):http://www.csun.edu/~renzo/cs565 Current Catalog Description This course will cover the theory, design, implementation, and application of advanced computer graphics environments. Accelerated 3D graphics APIs; the modeling and simulation of light, sound, physical objects, motion, and collisions; and user interaction in single and multi-user virtual environments will be studied. The application domain for this class is interactive 3D computer games, scientific visualization, and Virtual Reality. Textbook Miller T. Managed DirectX 9 Kick Start: Graphics and Game Programming. Sams, 2003. References Optional lecture notes (Adobe pdf format), and programming examples are available on-line at the class web page throughout the semester. WebCT will be used for on-line discussion topics. Brutzman. The Virtual Reality Modeling Language and Java. Communications of the ACM, vol. 41 no. 6, June 1998, pp. 57-64. http://web.nps.navy.mil/~brutzman/vrml/vrmljava.pdf Nadeau, Moreland, & Heck. SIGGRAPH '98 VRML tutorials. SIGGRAPH, 1998. www.sdsc.edu/~nadeau/Courses/Siggraph98vrml : online or zipped versions. Carey & Bellas. The Annotated VRML 2.0 Reference Manual. A new posting by the authors. Supposedly has a better web interface. I am leaving the original link below on this page.. http://accad.osu.edu/~pgerstma/class/vnv/resources/info/AnnotatedVrmlRef/Book.html http://www.cs.vu.nl/~eliens/documents/vrml/reference/BOOK.HTM. Bourg, D.M. Physics for Game Programmers. O'Reilly, 2002. Lengyel, E. Mathematics for 3D Game Programming and Computer Graphics. Charles River, 2002. Course Goals Understand fundamental 3D graphics concepts, design and implementation issues. Understand, be able to use, and compare a scripting (VRML) and a programming (managed Direct X) 3D graphics APIs architecture and programming model. Understand object modeling and gain experience using modelers (AC3D or Blender) and procedural modeling techniques. Understand, design and implement simulation of basic kinetics movement, velocity, collisions. Understand design and implementation issues involved in multiuser (networked) interactive 3D computer environments (games, virtual reality). Understand the use of A.I. in computer games path finding, chase / avoidance, flocking algorithms. Understand the use of immersive virtual reality devices. Prerequisites by Topic Fundamental knowledge of operating system concepts (COMP 322/L). Knowledge of computer graphic fundamentals is recommended but not required (COMP 465/L). Major Topics Covered in the Course Basic concepts of computer graphics and modeling: history; graphics pipeline, render loop, translation, orientation. VRML (Virtual Reality Modeling Language): geometric, vertex based modeling; materials and textures; lighting; viewing; user interaction sensors; interpolators and animation. DirectX 9 SDK (managed C#): modeling with meshes, vertex buffers, index buffers; viewing; user interaction; animation (kinetics); multi-user (networked); shader language. A.I. applications to games: path finding; chase and avoidance; flocking Programming virtual reality devices: stereoscopic viewing, head mounted displays, haptic interfaces. Presentation of student (group) proposed topics. Midterm, final and reviews. Laboratory projects (specify number of weeks on each) Design and implement a "3 clues adventure game" in a VRML world with objects modeled using geometric shapes and vertex arrays with textures. Have user interaction and animation with several viewpoints. Player must search for clues to win the game. (4 weeks) Design and implement a networked, 2 player race and tag game in Direct X. Players can win game by either racing their space ship through a set of torii orbiting a star (simulate gravity and velocity) or by shooting their opponent with photon torpedoes (collision). (6 weeks) Student group (1 to 3 students ) must proposed a course related research project, develop a tutorial on the topic that is posted on webCT, and present topic to class. ( 5 weeks) Estimate Curriculum Category Content (Semester hours) AreaCoreAdvancedAreaCoreAdvancedAlgorithms0.5Data Structures0.5Software Design1.0Prog. Languages1.0Comp. Arch. Oral and Written Communications Every student is required to submit at least 1 written reports (not including exams, tests, quizzes, or commented programs) of typically 15 pages and to make 1 oral presentations of typically 20 minutes duration. Include only material that is graded for grammar, spelling, style, and so forth, as well as for technical content, completeness, and accuracy. Social and Ethical Issues Please list the topics that address the social and ethical implications of computing covered in all course sections. Estimate the class time spent on each topic. In what ways are the students in this course graded on their understanding of these topics (e.g., test questions, essays, oral presentations, and so forth)? Societal issues of computer gaming: addition, violence, alienation. 3 hour class discussion near end of the semester. This is session is not graded but typically involves an intense discussion. Many students are frequent computer game players. Theoretical Content Please list the types of theoretical material covered, and estimate the time devoted to such coverage. Vectors, composite transformation matrices, dot product, cross product, normals (3 lecture hours). Representation of light and its reflection from surface materials (6 lecture hours). Discrete simulation of time based events (e.g., motion, collision) (6 lecture hours). A.I. in games path finding, chase / avoid, flock behavior (6 lecture hours). Problem Analysis Please describe the analysis experiences common to all course sections. Problems involved level of detail and complexity of collision detection. For example: what is the function of visibility distance and modeling detail given a terrain grid what is the benefit / cost of implementing LOD at viewing distance VD given terrain density (faces / meter) of TD? Or, what is the relationship between number of comparisons of collisions given spherical, bounding boxes, and polygon by polygon detection for two objects with P polygons each? Solution Design Please describe the design experiences common to all course sections. Solving problems involved with modeling, viewing, animating / simulating (kinetics), and interacting with 3D objects in a 3D space. Examples: given a terrain map design a minimal path algorithm to a destination; design a 6 degree of freedom camera class; design a class for any movable object with 6 degrees of freedom; and given a 6 df movable object class design an algorithm for spherical collision testing. COURSE DESCRIPTION Dept., NumberCOMP 585Course TitleGraphical User InterfacesSemester hours3Course CoordinatorRichard CovingtonURL (if any): Current Catalog Description The design, development and analysis of programs requiring graphical, direct manipulation, user interfaces (GUIs) will be examined. The majority of modern software includes a GUI. The development tools, environments and style guides for common GUIs will be used in course assignments and discussed in lecture. The course involves the design and development of several GUI programs. The aesthetic and human computer interaction aspects and future trends in GUIs design and development will also be reviewed. Textbook Walrath K, Campione M, Huml A, & Zakhour S. The JFC Swing Tutorial: A Guide to Constructing GUIs. 2nd edition. Prentice Hall, 2004. Petzold C. Programming Windows with C# (Core Reference). Microsoft Press, 2001. References None. Course Goals Understand multithreaded event-driven programming. Understand GUI concepts such as containers, components, layout managers, events and listeners. Understand the role of GUIs in the context of software engineering. Understand the role of OOD/OOP in the design of typical GUI APIs, and in the development of application software using the APIs. Develop proficiency with using the Java and C# APIs develop GUI-based software applications. Prerequisites by Topic Knowledge of basic operational aspects of an operating system (COMP322/L) and basic software engineering concepts (COMP 380/L). Major Topics Covered in the Course Threads and Event-Driven Programming OOD/OOP: Customized Behavior Via Inheritance, Extension, Implementation, Overrides OOD/OOP: Information Sharing/Hiding: Nested Classes vs. Accessors/Mutators GUI Concepts: Containers, Components, Layout Managers, Events, Listeners Java and C# APIs for GUI Development Laboratory projects (specify number of weeks on each) Project #1: Java Swing Number Puzzle (2 weeks) Project #2: Java Swing Paint Application (2 weeks) Project #3: Java Swing Text Editor (2 weeks) Project #4: Java Swing JDBC Application (3 weeks) Project #5: C# and Windows Forms Project (2 weeks) Project #6: C# and Windows Forms Project (3 weeks) Estimate Curriculum Category Content (Semester hours) AreaCoreAdvancedAreaCoreAdvancedAlgorithms0.25Data Structures0.75Software Design0.5Prog. Languages1.5Comp. Arch. Oral and Written Communications Every student is required to submit at least 0 written reports (not including exams, tests, quizzes, or commented programs) of typically 0 pages and to make 0 oral presentations of typically 0 minutes duration. Include only material that is graded for grammar, spelling, style, and so forth, as well as for technical content, completeness, and accuracy. Social and Ethical Issues Please list the topics that address the social and ethical implications of computing covered in all course sections. Estimate the class time spent on each topic. In what ways are the students in this course graded on their understanding of these topics (e.g., test questions, essays, oral presentations, and so forth)? Not directly addressed. Theoretical Content Please list the types of theoretical material covered, and estimate the time devoted to such coverage. OOD/OOP Principles in GUI Development: 10 hours Multithreaded Event-Driven Applications: 2.5 hours Model-View-Controller Architecture for GUI Components: 2.5 hours Data Structures for Component Models: Lists, Tables, Trees, Documents: 2.5 hours Problem Analysis Please describe the analysis experiences common to all course sections. Programming projects describe the problem to be implemented in terms of textual requirements and screen shots. The student must identify the components that will act as the building blocks for the GUI. The student must analyze the statement of the problem to identify inputs, outputs, state, and storage requirements. The student must determine the dynamic behavior of the GUI, in terms of user inputs and GUI responses to those inputs. Solution Design Please describe the design experiences common to all course sections. Students must use principles of OOD to create a solution to problems using existing classes and methods. The student must study the APIs to become familiar with the default behavior of existing classes. Students implement customized behavior of existing classes through extensions and overrides (inheritance). Students must gauge the degree of coupling between classes and implement the appropriate information sharing (nested classes vs. accessors/mutators). COURSE DESCRIPTION Dept., NumberCOMP 586Course TitleObject-Oriented Software DevelopmentSemester hours3Course CoordinatorShan BarkatakiURL (if any):http://www.csun.edu/~shan/comp586/ default.htm  Current Catalog Description Review of object oriented concepts. Comparison with functional methods. Benefits and pitfalls of object orientation. Fundamentals of object-oriented modeling associations, links, states. Survey of object-oriented development methods. In-depth study of a current object-oriented method. Object-oriented software requirements analysis and modeling. Object-oriented preliminary design. Designing concurrent and multiprocessor systems. Object-oriented detailed design. Object-oriented and object-based implementations. Object-oriented testing.  Textbook Douglass BP. Real Time UML: Advances in the UML for Real-Time Systems. 3rd edition. Addison-Wesley, 2004. References Gamma E, Helm R, Johnson R, & Vlissides J. Design Patterns: Elements of Reusable Object-Oriented Software. Addison-Wesley; 1995. Marks EA, & Bell M. Service-Oriented Architecture (SOA) : A Planning and Implementation Guide for Business and Technology. Wiley; 2006. Arlow J, & Neustadt I. UML 2 and the Unified Process: Practical Object-Oriented Analysis and Design. 2nd edition. Addison-Wesley; 2005. Shalloway A, & Trott J.  HYPERLINK "http://www.amazon.com/Design-Patterns-Explained-Perspective-Object-Oriented/dp/0321247140/sr=1-9/qid=1161198011/ref=sr_1_9/002-8528012-2244816?ie=UTF8&s=books"  HYPERLINK "http://www.amazon.com/Design-Patterns-Explained-Perspective-Object-Oriented/dp/0321247140/sr=1-9/qid=1161198011/ref=sr_1_9/002-8528012-2244816?ie=UTF8&s=books" Design Patterns Explained: A New Perspective on Object-Oriented Design. 2nd edition. Addison-Wesley, 2004. Course Goals Enable the student to create analysis and design models using state of the art object-oriented methods and UML-II. Proper use of the various UML elements (use cases, activity diagrams, domain class diagrams, etc.) in creating analysis models and system design. Appropriate use of the various UML design elements (class diagram, sequence diagrams, state diagrams, etc.) in creating architectural and detailed design models. Participation in group projects involving analysis and design of a moderately complex system, use of CASE tools. Application of good software engineering principles in software analysis and design. Learning literature research techniques in the context of writing a term paper. Prerequisites by Topic Knowledge of basic operational aspects of an operating system (COMP322/L) and basic software engineering concepts (COMP 380/L). Major Topics Covered in the Course Overview of object-oriented analysis and UML-II Development methods, processes, unified process, agile processes Functional vs. object-oriented modeling Introduction to UML: Classes, objects, interfaces Relationships- association, aggregation, Inheritance and polymorphism. Analysis Modeling- Event-Response, use case modeling, domain modeling Requirements specification style, clarity, format, tools (self study & research) Structural (static) modeling- class diagrams, relationships, Interfaces & ports, Demeters principle Dynamic Modeling- modeling object behavior, state machines & state charts, internal and external concurrency Packages, components and subsystems Advanced Interaction and communication diagrams in UML-II Modeling for real-time behavior- timing diagrams, activity diagrams, interrupts & interruptible segments, concurrency considerations- UML-II Task diagrams Architectural Design Frameworks & design patterns Logical vs. physical modeling Common design patterns- GOF patterns, design patterns in UML-II Model driven Architecture Detailed design level of detail Service oriented architecture (research paper) Project with CASE tool Laboratory projects (specify number of weeks on each) No formal laboratory project, students do a group project as a semester long project. Estimate Curriculum Category Content (Semester hours) AreaCoreAdvancedAreaCoreAdvancedAlgorithms0.2Data Structures0.1Software Design2Prog. Languages0.5Comp. Arch.0.2 Oral and Written Communications Every student is required to submit at least 1 written reports (not including exams, tests, quizzes, or commented programs) of typically 5 pages and to make 2 oral presentations of typically 5 minutes duration. Include only material that is graded for grammar, spelling, style, and so forth, as well as for technical content, completeness, and accuracy. Social and Ethical Issues Please list the topics that address the social and ethical implications of computing covered in all course sections. Estimate the class time spent on each topic. In what ways are the students in this course graded on their understanding of these topics (e.g., test questions, essays, oral presentations, and so forth)? None. Theoretical Content Please list the types of theoretical material covered, and estimate the time devoted to such coverage. None. Problem Analysis Please describe the analysis experiences common to all course sections. Analysis and trade study related to a group design project of substantial complexity, e.g. design of a generic Elevator Control System that can be tailored to work on n floors with m elevator cabs. The student develops the following analysis products: Event response models, layered use case models, domain class diagrams, and formal requirements. These products are created in UML 2.0 and with a CASE tool. Solution Design Please describe the design experiences common to all course sections. The student develops the following preliminary design products: Layered implementation class diagrams, system sequence diagrams, activity diagrams, sequence diagrams representing threads of execution, state charts for design components with dynamic behavior The student develops the following detailed design products: Detailed class models, detailed design products, state diagrams for classes with significant state behavior, task diagrams, timing diagram (for time critical design). All products are developed in UML 2.0 and with the aid of a CASE tool. COURSE DESCRIPTION Dept., NumberCOMP 595DMCourse TitleData MiningSemester hours3Course CoordinatorTaehyung (George) WangURL (if any):http://www.csun.edu/~twang/595DM/ Current Catalog Description Introduces data mining concepts, principles and applications. Covers data warehouse and OLAP technology for data mining, data preprocessing, primitives, languages, system architectures for data mining, concept description, association analysis, sequential pattern analysis, classification and prediction, cluster analysis, mining complex types of data, data mining applications and trends in data mining. Textbook Han J, & Kamber M. Data Mining: Concepts and Techniques. 2nd edition. Morgan Kaufmann, 2005. References None Course Goals Upon successful completion of the course the student will: Be able to understand the concepts, strategies, and methodologies related to the design and construction data mining. Be able to utilize data warehouses and OLAP for data mining and knowledge discovery activities. Be able to determine an appropriate mining strategy for given large dataset. Be able to apply appropriate mining techniques to extract unexpected patterns and new rules that are "hidden" in large databases. Be able to garner knowledge of current data mining applications. Prerequisites by Topic Knowledge of software engineering concepts (COMP 380/L). Major Topics Covered in the Course Data mining concepts, principles and applications. Data warehouse and OLAP technology. Data preprocessing. System architectures for data mining. Association analysis. Sequential pattern analysis. Classification and prediction. Cluster analysis. Mining complex types of data. Data mining applications and trends in data mining. Laboratory projects (specify number of weeks on each) None Estimate Curriculum Category Content (Semester hours) AreaCoreAdvancedAreaCoreAdvancedAlgorithms1.5Data Structures1.5Software DesignProg. LanguagesComp. Arch. Oral and Written Communications Every student is required to submit at least 2 written reports (not including exams, tests, quizzes, or commented programs) of typically 4 pages and to make 2 oral presentations of typically 20 minutes duration. Include only material that is graded for grammar, spelling, style, and so forth, as well as for technical content, completeness, and accuracy. Social and Ethical Issues Please list the topics that address the social and ethical implications of computing covered in all course sections. Estimate the class time spent on each topic. In what ways are the students in this course graded on their understanding of these topics (e.g., test questions, essays, oral presentations, and so forth)? Data mining privacy and data security 1.5 lecture hours. Test questions are used to evaluate students understanding. Theoretical Content Please list the types of theoretical material covered, and estimate the time devoted to such coverage. Statistical theory (correlation analysis, chi-square test, regression, Bayes theorem, and log-linear model) 4 lecture hours Algorithm (first-best search, beam search, and greedy algorithm) 1 lecture hour Information theory (entropy, information gain) 3 lecture hours Machine learning (decision tree, generic algorithm, neural network, k-nearest-neighbor classifiers) 6 lecture hours Problem Analysis Please describe the analysis experiences common to all course sections. Students are required to perform a comprehensive analysis of data types and relevant attribute selection for knowledge discovery.  Solution Design Please describe the design experiences common to all course sections. Students are required to complete data mining process design ranging from data integration, data preprocessing, selection of the proper data mining techniques, and evaluation of the knowledge. COURSE DESCRIPTION Dept., NumberCOMP 595VAVCourse TitleSoftware System DevelopmentSemester hours3Course CoordinatorRobert LingardURL (if any): Current Catalog Description An in depth study of verification and validation strategies and techniques as they apply to the development of quality software. Topics include test planning and management, testing tools, technical reviews, formal methods and the economics of software testing. The relationship of testing to other quality assurance activities as well as the integration of verification and validation into the overall software development process are also discussed.  Textbook Rakitin S. Software Verification and Validation for Practitioners and Managers. 2nd edition. Artech House, 2001. References Jorgensen P. Software Testing: A Craftsmans Approach. CRC Press, 1995. Course Goals Students will understand the goals and purposes of software verification and validation. Students will understand the relationship between software verification and validation and the other software engineering activities. Students will understand strategies and be able to apply specific approaches for software verification and validation activities. Students will be familiar with testing techniques for a wide variety of verification and validation objectives. Students will be able to effectively participate in formal technical software reviews. Students will be able to utilize existing tools for conducting and managing software testing. Students will be able to develop validation test plans. Students will understand the costs and benefits of software testing. Students will be able to effectively communicate test plans in both written and oral form. Prerequisites by Topic Understanding of the fundamental concepts and principles of software engineering (COMP 380) Experience in the development of software systems Competence in both written and oral communication Major Topics Covered in the Course Concepts and benefits of software verification and validation The role of verification and validation in the software development process Specifying software quality requirements Software verification and validation techniques Verification and validation of requirements and design Planning software verification and validation and testing strategies Organization and management of software testing Documenting software plans and testing results Software reviews and inspections Formal methods (proving correctness of programs) Cleanroom software engineering and statistical approaches Using testing results to measure software quality Automated tools for verification and validation Laboratory projects (specify number of weeks on each) Teams consisting of approximately five students must develop test plans for a given software development project. (3 weeks) Estimate Curriculum Category Content (Semester hours) AreaCoreAdvancedAreaCoreAdvancedAlgorithmsData StructuresSoftware Design1Prog. LanguagesComp. Arch. Oral and Written Communications Every student is required to submit at least 3 written reports (not including exams, tests, quizzes, or commented programs) of typically 3 pages and to make 2 oral presentations of typically 20 minutes duration. Include only material that is graded for grammar, spelling, style, and so forth, as well as for technical content, completeness, and accuracy. Social and Ethical Issues Please list the topics that address the social and ethical implications of computing covered in all course sections. Estimate the class time spent on each topic. In what ways are the students in this course graded on their understanding of these topics (e.g., test questions, essays, oral presentations, and so forth)? The importance of delivering reliable software to customers. (3 lecture hours) Testing of software to insure privacy, safety, and security issues. (2 lecture hours) Developed test plans, written reports from software inspections, and exam questions measure the students understanding of these topics. Theoretical Content Please list the types of theoretical material covered, and estimate the time devoted to such coverage. Cost/benefit analysis of quality assurance activities (3 lecture hours) Reliability analysis based on testing data (2 lecture hours) Software metrics (6 lecture hours) Problem Analysis Please describe the analysis experiences common to all course sections. A given software requirements specification is analyzed for consistency and completeness and a software test plan is developed based on this specification as revised. Solution Design Please describe the design experiences common to all course sections. Student teams must design a complete test plan for a software system as specified by a given requirements document. COURSE DESCRIPTION Dept., NumberCOMP 598ADBCourse TitleAdvanced Database SystemsSemester hours3Course CoordinatorSon PhamURL (if any):http://www.csun.edu/~spham Current Catalog Description Topics include: on-going trends in database systems, emphasizing database fundamentals and new research directions; study a collection of papers that have influenced the field and represented the state of the art in database systems such as Bench-marking, Query Optimization, Data Warehousing, Data Mining, Transaction Processing, Concurrency Control and Recovery, Object-Oriented (OO) and Object-Relational DB, Distributed and Client-Server, and Parallel DB. Textbook Hellerstein JM, & Stonebraker M. Readings in Database Systems. 4th edition. The MIT Press, 2005. ACM OnLine Libraries (research papers: journal and conference) References Selected bibliography (first entry from each section to keep the list from running long): Buffer management Chou H-TC & D. DeWitt J. An Evaluation of Buffer Management Strategies for Relational Database Systems. VLDB 1985: 127-141. Concurrency control Agrawal R, Carey MJ, & Livny M. Models for Studying Concurrency Control Performance: Alternatives and Implications. SIGMOD Conference 1985: 108-121H. T. Distributed Database Systems Mackert LF, & Lohman GM. R* Optimizer Validation and Performance Evaluation for Local Queries. SIGMOD Conference, 1986: 84-95. Distributed Query Processing Mohan C, Lindsay BG, & Obermarck R. Transaction Management in the R* Distributed Database Management System. TODS 11(4): 378-396, 1986. Database Tuning Hellerstein JM, Haas PJ, & WangH. Online Aggregation. SIGMOD Conference 1997: 171-182 Haas PJ, & Hellerstein JM. Ripple Joins for Online Aggregation. SIGMOD Conference 1999: 287-298 Parallel database systems and high-performance sorting DeWitt DJ, & Gray J. Parallel Database Systems: The Future of High Performance Database Systems. CACM 35(6): 85-98 (1992) Data mining Agrawal R, & Srikant R. Fast Algorithms for Mining Association Rules in Large Databases. VLDB 1994: 487-499 Join Processing Shapiro LD: Join Processing in Database Systems with Large Main Memories. TODS 11(3): 239-264(1986) Query optimization Selinger PG, Astrahan MM, Chamberlin DD, Lorie RA, & Price TG. Access Path Selection in a Relational Database Management System. SIGMOD Conference 1979: 23-34 Recovery Theory Hrder AR. Principles of Transaction-Oriented Database Recovery. Computing Surveys 15(4): 287-317(1983) Replication Theory Providing Persistent Objects in Distributed Systems. Proceedings of the 13th European Conference on Object-Oriented Programming (ECOOP '99), Lisbon, Portugal, June 1999.  Course Goals Prepare students to do the research in database Prepare a thesis proposal Present the research topic Write/report the research results Implement a project related to web-base database Prerequisites by Topic Demonstrate required level of proficiency or equivalent introductory background material in database systems (COMP 440) Major Topics Covered in the Course (time spent on each area in number of weeks) Overview of Database Query Processing (1) Query Optimization (2) Programming project: Introduction and Analysis: (1) Transaction processing (1) Benchmarking (1) Data warehousing (1) Review and Midterm (1) Data mining (1) Concurrency Control and Recovery (1) Object-Oriented (OO) and Object-Relational DB (1) Research Presentations (2) (Distributed within 8 sessions) Distributed and Client-Server (1) Parallel DB (2) Laboratory projects (specify number of weeks on each) 1 team project (7 weeks) on Object Database. Estimate Curriculum Category Content (Semester hours) AreaCoreAdvancedAreaCoreAdvancedAlgorithms1Data StructuresSoftware Design1Prog. LanguagesComp. Arch. Oral and Written Communications Every student is required to submit at least 0 written reports (not including exams, tests, quizzes, or commented programs) of typically 0 pages and to make 0 oral presentations of typically 0 minutes duration. Include only material that is graded for grammar, spelling, style, and so forth, as well as for technical content, completeness, and accuracy. Social and Ethical Issues Please list the topics that address the social and ethical implications of computing covered in all course sections. Estimate the class time spent on each topic. In what ways are the students in this course graded on their understanding of these topics (e.g., test questions, essays, oral presentations, and so forth)? None Theoretical Content Please list the types of theoretical material covered, and estimate the time devoted to such coverage. None Problem Analysis Please describe the analysis experiences common to all course sections. None Solution Design Please describe the design experiences common to all course sections. None COURSE DESCRIPTION Dept., NumberCOMP 598EACourse TitleEmbedded ApplicationsSemester hours3Course CoordinatorJeffrey Allan WiegleyURL (if any): Current Catalog Description Embedded systems present cost effective, challenging and flexible computational platforms. Students will be instructed in the unique aspects of embedded systems including architectures, instruction sets, development environments, concurrent programming, networking, applications ofembedded platforms, data acquisition from sensors and interaction with physical environments. Textbook Simon DE. An Embedded Software Primer. Addison Wesley, 1999. References Grehan R, Moote R, & Cyliax I. Real-Time Programming. Addison Wesley, 1998. Labrosse J J. Embedded System building Blocks. 2nd edition. CMP Books, 1999. Sutter E. Embedded Systems Firmware Demystified. CMP Books, 2002. Williams A. Embedded Internet Design. McGraw Hill, 2003. Noergaard T. Embedded Systems Architecture: A Comprehensive Guide for Engineers and Programmers. Newnes, 2005. Course Goals Apply software engineering to embedded platforms. Understand use of Real-Time Operating Systems. Understand interaction of hardware, sensors and software. Prerequisites by Topic Knowledge of operating system concepts (COMP322/L), computer architecture (COMP 122/L, 222) and general problem solving and programming (COMP 110/L, 182/L, 282) Major Topics Covered in the Course Introduction to embedded systems Embedded architectures Schematics and timing interpretation Interrupts Shared data problems Embedded software architectures Real Time operating systems Embedded software development tools Debugging techniques Laboratory projects (specify number of weeks on each) LEGO Mindstorms path generation and execution, 3 weeks Position/velocity control using Motorola processors, 4 weeks Real Time application, 4 weeks Estimate Curriculum Category Content (Semester hours) AreaCoreAdvancedAreaCoreAdvancedAlgorithms0.5Data Structures0.75Software Design0.5Prog. Languages0.25Comp. Arch.1 Oral and Written Communications Every student is required to submit at least 3 written reports (not including exams, tests, quizzes, or commented programs) of typically 2 pages and to make 0 oral presentations of typically 0 minutes duration. Include only material that is graded for grammar, spelling, style, and so forth, as well as for technical content, completeness, and accuracy. Social and Ethical Issues Please list the topics that address the social and ethical implications of computing covered in all course sections. Estimate the class time spent on each topic. In what ways are the students in this course graded on their understanding of these topics (e.g., test questions, essays, oral presentations, and so forth)? Basics of quality control in implantable and/or interactive devices. 0.1 semester hours, graded in test questions and essays. Theoretical Content Please list the types of theoretical material covered, and estimate the time devoted to such coverage. Concurrency problems Shared data problems Sensor signal conditioning Control theory Problem Analysis Please describe the analysis experiences common to all course sections. Analyze and correct software for concurrency problems Identify non-software faults in embedded systems Solution Design Please describe the design experiences common to all course sections. Implement software on embedded devices to produce product prototypes. COURSE DESCRIPTION Dept., NumberCOMP 598SECCourse TitleAdvanced Topics in Computer System SecuritySemester hours3Course CoordinatorBrenda TimmermanURL (if any): Current Catalog Description An advanced seminar style course covering computer system security technology, protocols, and practices. It includes in-depth study and discussion of the following topics: applied cryptography; common attack methods such as covert channels, Trojan horses, and viruses; protection on operating systems including security kernels and trusted computing bases; data base security; multilevel security in networks and distributed systems; the administration of security in computer systems; and legal and ethical issues.  Textbook Pfeeger CP, & Pfeeger SL. Security in Computing. 3rd edition. Prentice Hall, 2002. References Selected current articles and papers announced during the semester Course Goals To develop students communication skills about computer security through oral and written reports and group discussions. Students will be able to understand the functions and relationships of computer system security systems. Students will be able to analyze security mechanisms and be able to cite the strengths and weaknesses of the various mechanisms, and the security issues surrounding them. Students will be able to analyze the function of security controls such as firewalls, authentication, and intrusion detection devices. Students will be able to identify the vulnerabilities of computer systems, and how they can be protected so that they can apply their knowledge to analyzing applications of the hardware and software, and other network technologies for implementing and protecting computer systems such as e-commerce system Students will be able to analyze the ethical and legal issues that arise from new technology related to computer security. Prerequisites by Topic Basic knowledge of computer security concepts (COMP 424). Major Topics Covered in the Course Applied Cryptography Common attack methods such as covert channels, Trojan Horses, and viruses Protection in operating system including security kernels and trusted computer bases Database security Multilevel security in networks and distributed systems Administration of security in computer systems Legal and ethical issues Laboratory projects (specify number of weeks on each) None Estimate Curriculum Category Content (Semester hours) AreaCoreAdvancedAreaCoreAdvancedAlgorithms0.5Data StructuresSoftware Design0.2Prog. Languages0.2Comp. Arch. Oral and Written Communications Every student is required to submit at least 5 written reports (not including exams, tests, quizzes, or commented programs) of typically 1 page and to make 1 oral presentation of typically 45 minutes duration and at least 2 oral presentations of 10 minutes duration. Include only material that is graded for grammar, spelling, style, and so forth, as well as for technical content, completeness, and accuracy. Social and Ethical Issues Please list the topics that address the social and ethical implications of computing covered in all course sections. Estimate the class time spent on each topic. In what ways are the students in this course graded on their understanding of these topics (e.g., test questions, essays, oral presentations, and so forth)? Students will be able to analyze the ethical and legal issues that arise from new technology related to computer security. They are graded by test questions, written assignments, and oral presentations. 10 hours/ semester Theoretical Content Please list the types of theoretical material covered, and estimate the time devoted to such coverage. None Problem Analysis Please describe the analysis experiences common to all course sections. Students will be able to analyze security mechanisms and be able to cite the strengths and weaknesses of the various mechanisms, and the security issues surrounding them and, in addition, they apply their knowledge to analyzing applications of the hardware and software, and other network technologies for implementing and protecting computer systems Solution Design Please describe the design experiences common to all course sections. None Math Course Descriptions COURSE DESCRIPTION Dept., NumberMATH 150ACourse TitleCalculus ISemester hours5Course CoordinatorDavid ProtasURL (if any): Current Catalog Description Students who transfer the equivalent of MATH 105, or both MATH 102 and 104, with a C or better are required to achieve a passing score on the Math Placement Test. Limits, derivatives, applications of differentiation. Definite and indefinite integrals, the Fundamental Theorem of Calculus. (Available for General Education, Basic Skills Mathematics) Textbook Varberg, Purcell, & Rigdon: Calculus, Prentice Hall, 9th edition. 2006 or Hughes-Hallet, Gleason, McCallum, et al.: Calculus: Single Variable, 4th edition. John Wiley & Sons; 2004 References  Course Goals To understand the basic ideas of calculus that are used in mathematics, science and engineering To understand the concepts of limits, differentiation, and integration (with techniques and more advanced applications of integration covered in 150B) To use the concepts of calculus to solve basic applications, including word problems Prerequisites by Topic Completion of pre-calculus courses as needed. (Prerequisites: Passing score on or exemption from the Entry Level Mathematics Examination or credit in MATH 093, and either a passing score on the Mathematics Placement Test or completion of MATH 105, or both MATH 102 and 104, at CSUN with grades of C or better.) Major Topics Covered in the Course Limits of functions: Introduction to limits. (Rigorous definition of limits.) Rules for operations on limits. Limits involving trigonometric functions. Limits at infinity and infinite limits. Continuity. Derivatives: Definition of derivative and use of the definition to find the derivative of simple functions. Product and quotient rules. The chain rule and Leibniz notation. Derivatives of trigonometric functions. Higher order derivatives. Applications of the derivative: Related rates. Differentials and approximations. Maxima and minima. Concavity and inflection points. Graphing functions using the first and second derivatives. The mean value theorem. Integration: Series notation. Area and the definite integral. Using Riemann sums to find the area under graphs of simple functions. Indefinite integrals and antidifferentiation. The first and second fundamental theorems of calculus. Evaluating definite integrals using the fundamental theorem of calculus. Transcendental and inverse functions: The natural logarithm function as an integral. Inverse functions and the exponential function. General exponential and logarithm functions. Exponential growth and decay. (Separation of variables.) Inverse trigonometric functions. (Hyperbolic functions.) Laboratory projects (specify number of weeks on each) None Estimate Curriculum Category Content (Semester hours) AreaCoreAdvancedAreaCoreAdvancedAlgorithmsData StructuresSoftware DesignProg. LanguagesComp. Arch. Oral and Written Communications Every student is required to submit at least 0 written reports (not including exams, tests, quizzes, or commented programs) of typically 0 page and to make 0 oral presentation of typically 0 minutes duration and at least 0 oral presentations of 00 minutes duration. Include only material that is graded for grammar, spelling, style, and so forth, as well as for technical content, completeness, and accuracy. Social and Ethical Issues Please list the topics that address the social and ethical implications of computing covered in all course sections. Estimate the class time spent on each topic. In what ways are the students in this course graded on their understanding of these topics (e.g., test questions, essays, oral presentations, and so forth)? Not applicable to Computer Science Program Theoretical Content Please list the types of theoretical material covered, and estimate the time devoted to such coverage. Not applicable to Computer Science Program Problem Analysis Please describe the analysis experiences common to all course sections. Not applicable to Computer Science Program Solution Design Please describe the design experiences common to all course sections. Not applicable to Computer Science Program COURSE DESCRIPTION Dept., NumberMATH 150BCourse TitleCalculus IISemester hours5Course CoordinatorDavid ProtasURL (if any): Current Catalog Description Techniques of integration, numerical integration, improper integrals, applications of the integral. Taylor polynomials, sequences and series, power series. Textbook Varberg, Purcell, and Rigdon: Calculus, 9th edition. Prentice Hall, 2006 or Hughes-Hallet, Gleason, McCallum, et al.: Calculus: Single Variable, 4th edition. John Wiley & Sons; 2004  References  Course Goals To develop mastery of standard introductory calculus as required in mathematics, science and engineering. To understand advanced applications of the definite integral and become proficient at the computational rules of integration. To develop a basic understanding of infinite series and their convergence, and applications of power series. To be introduced to numerical methods in calculus, as such methods are important in advanced applications in science and engineering. To be exposed to polar coordinates and parametric curves as an introduction to Math 250. Prerequisites by Topic First semester calculus (MATH 150A with a grade of C or better.) Major Topics Covered in the Course The topics in parentheses represent topics that are either not covered by all faculty or those that are covered only if time allows. Applications of Integration: Areas. Volumes of solids including the methods of washers and cylindrical shells. Arclength. Areas of surfaces of revolution. Work. (Moment of inertia and center of mass.) Techniques of integration: Integration by substitution. Trigonometric integrals. Trigonometric substitution. Integration by parts. Partial fractions. Improper integrals: Integrals with infinite endpoints or discontinuous integrands. Indeterminate forms: L'Hpitals rule for indeterminate forms of the type 0/0. Other types of indeterminate forms. Infinite series: Definition of a sequence and limits of sequences. Definition of an infinite series as a limit of partial sums. Geometric series. Operations on series. Integral test. Ordinary and limit comparison tests. Ratio test. (Root test.) Alternating series and absolute vs. conditional convergence. Power series and radius of convergence. (Operations on power series.) Taylor series. Numerical Methods: Taylor series approximation and error estimates. Numerical integration including Simpsons rule. Numerical methods for solving f(x) = 0. Introduction to calculus in the plane: Polar coordinates and graphing. Integration in polar coordinates. Parametric curves. Tangent vectors, velocity, and acceleration. Laboratory projects (specify number of weeks on each) None Estimate Curriculum Category Content (Semester hours) AreaCoreAdvancedAreaCoreAdvancedAlgorithmsData StructuresSoftware DesignProg. LanguagesComp. Arch. Oral and Written Communications Every student is required to submit at least 0 written reports (not including exams, tests, quizzes, or commented programs) of typically 0 page and to make 0 oral presentation of typically 0 minutes duration and at least 0 oral presentations of 0 minutes duration. Include only material that is graded for grammar, spelling, style, and so forth, as well as for technical content, completeness, and accuracy. Social and Ethical Issues Please list the topics that address the social and ethical implications of computing covered in all course sections. Estimate the class time spent on each topic. In what ways are the students in this course graded on their understanding of these topics (e.g., test questions, essays, oral presentations, and so forth)? Not applicable to Computer Science Program Theoretical Content Please list the types of theoretical material covered, and estimate the time devoted to such coverage. Not applicable to Computer Science Program Problem Analysis Please describe the analysis experiences common to all course sections. Not applicable to Computer Science Program Solution Design Please describe the design experiences common to all course sections. Not applicable to Computer Science Program COURSE DESCRIPTION Dept., NumberMATH 262Course TitleIntroduction to Linear AlgebraSemester hours3Course CoordinatorRabia DjellouliURL (if any): Current Catalog Description Systems of linear equations, matrices, determinants, eigenvalues, vector spaces, linear transformations, introduction to inner products on Rn, spectral theorem for symmetric matrices. Textbook Kolman B & Hill DR. Elementary Linear Algebra:An Applied First Course. 8th edition. Prentice Hall, 2004. References  Course Goals Prepares students for the demands of quantitative areas of study such as engineering, physical chemistry, relativity, quantum mechanics, and mathematical model in biology, economics. Serves as a transition from the mechanical manipulations of algebra and calculus to more theoretical upper-level mathematics courses. Prerequisites by Topic First year calculus (Math 150A, 150B) Major Topics Covered in the Course Linear Equations and Matrices Determinants Vectors in R2 and Rn Real Vector Spaces Eigenvalues and Eigenvectors Linear Transformations and Matrices Linear Programming Laboratory projects (specify number of weeks on each) None Estimate Curriculum Category Content (Semester hours) AreaCoreAdvancedAreaCoreAdvancedAlgorithmsData StructuresSoftware DesignProg. LanguagesComp. Arch. Oral and Written Communications Every student is required to submit at least 0 written reports (not including exams, tests, quizzes, or commented programs) of typically 0 page and to make 0 oral presentation of typically 0 minutes duration and at least 0 oral presentations of 0 minutes duration. Include only material that is graded for grammar, spelling, style, and so forth, as well as for technical content, completeness, and accuracy. Social and Ethical Issues Please list the topics that address the social and ethical implications of computing covered in all course sections. Estimate the class time spent on each topic. In what ways are the students in this course graded on their understanding of these topics (e.g., test questions, essays, oral presentations, and so forth)? Not applicable to Computer Science Program Theoretical Content Please list the types of theoretical material covered, and estimate the time devoted to such coverage. Not applicable to Computer Science Program Problem Analysis Please describe the analysis experiences common to all course sections. Not applicable to Computer Science Program Solution Design Please describe the design experiences common to all course sections. Not applicable to Computer Science Program COURSE DESCRIPTION Dept., NumberMATH 326Course TitleDiscrete MathematicsSemester hours3Course CoordinatorM. Helena NoronhaURL (if any): Current Catalog Description Propositional calculus, predicate calculus, set algebra, relations, functions, mappings, fields, number systems. Textbook Rosen KH: Discrete Mathematics and its Applications, 5th edition. McGraw-Hill Science/Engineering/Math; 2003 References  Course Goals The structures and problems that arise in Computer Science are discrete in nature. In this course you will learn to use some of the mathematical tools that are employed to describe and solve many discrete types of problems. Understand mathematical reasoning in order to read, comprehend and construct mathematical arguments Understanding various discrete structures and the relationships between them To learn algorithmic thinking.  Prerequisites by Topic First year calculus (MATH 150A, 150B) and symbolic logic (PHIL 230) Major Topics Covered in the Course Propositional calculus Predicate calculus Set algebra Relations Functions Mappings Fields Number systems. Laboratory projects (specify number of weeks on each) None Estimate Curriculum Category Content (Semester hours) AreaCoreAdvancedAreaCoreAdvancedAlgorithmsData StructuresSoftware DesignProg. LanguagesComp. Arch. Oral and Written Communications Every student is required to submit at least 0 written reports (not including exams, tests, quizzes, or commented programs) of typically 0 page and to make 0 oral presentation of typically 0 minutes duration and at least 0 oral presentations of 0 minutes duration. Include only material that is graded for grammar, spelling, style, and so forth, as well as for technical content, completeness, and accuracy. Social and Ethical Issues Please list the topics that address the social and ethical implications of computing covered in all course sections. Estimate the class time spent on each topic. In what ways are the students in this course graded on their understanding of these topics (e.g., test questions, essays, oral presentations, and so forth)? Not applicable to Computer Science Program Theoretical Content Please list the types of theoretical material covered, and estimate the time devoted to such coverage. Not applicable to Computer Science Program Problem Analysis Please describe the analysis experiences common to all course sections. Not applicable to Computer Science Program Solution Design Please describe the design experiences common to all course sections. Not applicable to Computer Science Program COURSE DESCRIPTION Dept., NumberMATH 340Course TitleIntroductory ProbabilitySemester hours3Course CoordinatorM. Helena NoronhaURL (if any): Current Catalog Description Sample spaces, probability rules, independence, conditional probability, Bayes' Theorem, discrete and continuous random variables and distributions (e.g. binomial, Poisson, geometric, normal, exponential, uniform), expectation, moment generating functions, joint distributions, central limit theorem. Not open for credit to those having completed MATH 341. Textbook Scheaffer RL. Introduction to Probability and its Applications, 2nd Edition. Duxbury Press, 1994. References None Course Goals Introduction to the core elements of probability theory and their application to real world situations. Prerequisites by Topic First year calculus (Math 150A, 150B) Major Topics Covered in the Course Probability rules conditional probability and independence Bayes' Theorem discrete and continuous random variables and distributions (the general case, plus important special distributions) expected value and variance moment generating functions joint, marginal and conditional distributions transformations of random variables Laboratory projects (specify number of weeks on each) None Estimate Curriculum Category Content (Semester hours) AreaCoreAdvancedAreaCoreAdvancedAlgorithmsData StructuresSoftware DesignProg. LanguagesComp. Arch. Oral and Written Communications Every student is required to submit at least 0 written reports (not including exams, tests, quizzes, or commented programs) of typically 0 page and to make 0 oral presentation of typically 0 minutes duration and at least 0 oral presentations of 0 minutes duration. Include only material that is graded for grammar, spelling, style, and so forth, as well as for technical content, completeness, and accuracy. Social and Ethical Issues Please list the topics that address the social and ethical implications of computing covered in all course sections. Estimate the class time spent on each topic. In what ways are the students in this course graded on their understanding of these topics (e.g., test questions, essays, oral presentations, and so forth)? Not applicable to Computer Science Program Theoretical Content Please list the types of theoretical material covered, and estimate the time devoted to such coverage. Not applicable to Computer Science Program Problem Analysis Please describe the analysis experiences common to all course sections. Not applicable to Computer Science Program Solution Design Please describe the design experiences common to all course sections. Not applicable to Computer Science Program COURSE DESCRIPTION Dept., NumberMATH 341Course TitleApplied Statistics ISemester hours3Course CoordinatorM. Helena NoronhaURL (if any): Current Catalog Description Introduction to the practice of statistics, emphasizing the role of probability. Includes basic probability, discrete and continuous probability distributions, expectation and variance, sample surveys and experiments, displaying and summarizing data, sampling distributions, central limit theorem, inference for proportions, chi-square test, least squares regression. Textbook Varies with instructor. Recent texts include: Devore J. Probability and Statistics for Engineering and the Sciences. 6th edition. Duxbury Press, 2003. Moore D & McCabe G, Introduction to the Practice of Statistics. 5th edition. W.H. Freeman & Company, 2005. Watkins A, Scheaffer R, & Cobb G, Statistics in Action: Understanding a World of Data. 1st edition. Key College, 2004. Chance BL, & Rossman AJ. Investigating Statistical Concepts, Applications, And Methods. 1st edition. Duxbury Press, 2005. References Minitab statistical software is used in most sections. Course Goals Math 341 is the first of two courses in the practice of statistics. The goal is to teach the fundamentals of statistical and probabilistic reasoning, including design of surveys and experiments. Students wishing a more theoretical and less applied introduction to statistics take the three-semester mathematical statistics sequence: Math 340, 440A, and 440B. Math 341 is a required course for students in the mathematics major, secondary teaching option, and an option for computer science majors and covers half of the AP Statistics syllabus from an advanced point of view. Prerequisites by Topic First year calculus (Math 150A, 150B) Major Topics Covered in the Course basic probability discrete and continuous probability distributions expectation and variance sample surveys and experiments displaying and summarizing data sampling distributions the central limit theorem inference for proportions chi-square tests least squares regression Laboratory projects (specify number of weeks on each) None Estimate Curriculum Category Content (Semester hours) AreaCoreAdvancedAreaCoreAdvancedAlgorithmsData StructuresSoftware DesignProg. LanguagesComp. Arch. Oral and Written Communications Every student is required to submit at least 0 written reports (not including exams, tests, quizzes, or commented programs) of typically 0 page and to make 0 oral presentation of typically 0 minutes duration and at least 0 oral presentations of 0 minutes duration. Include only material that is graded for grammar, spelling, style, and so forth, as well as for technical content, completeness, and accuracy. Social and Ethical Issues Please list the topics that address the social and ethical implications of computing covered in all course sections. Estimate the class time spent on each topic. In what ways are the students in this course graded on their understanding of these topics (e.g., test questions, essays, oral presentations, and so forth)? Not applicable to Computer Science Program Theoretical Content Please list the types of theoretical material covered, and estimate the time devoted to such coverage. Not applicable to Computer Science Program Problem Analysis Please describe the analysis experiences common to all course sections. Not applicable to Computer Science Program Solution Design Please describe the design experiences common to all course sections. Not applicable to Computer Science Program COURSE DESCRIPTION Dept., NumberMATH 481ACourse TitleNumerical AnalysisSemester hours3Course CoordinatorM. Helena NoronhaURL (if any): Current Catalog Description Techniques of applied mathematics, solution of equations, interpolation, numerical integration, numerical solution of differential equations. Textbook Varies with instructor. Recent texts include: Burden R & Faires, J. Numerical Analysis. 8th edition. Brooks Cole, 2003. Don, E. Schaums Outline of Mathematica. McGraw-Hill, 2000. References Mathematica software is used in most sections. Course Goals coverage of course topics; use of Mathematica and/or Java to illustrate concepts Prerequisites by Topic Linear algebra (Math 262) and first semester computer programming (COMP 106/L or 110/L) Major Topics Covered in the Course review of Calculus: rounding errors and computer arithmetic; algorithms and convergence solution of equations in one variable: bisection method; fixed-point iterations; Newtons method; zeros of polynomial and Mullers method interpolation and polynomial approximation: interpolation and Lagrange polynomial; Hermit interpolation; cubic spline numerical differentiation and integration: Simpsons 1/3 and 3/8 rules of integration; Romberg integration; Gaussian quadrature and multiple integrals; improper integrals initial-value problems in ordinary differential equations: Ehlers method; Runge-Kutta methods; higher order equations and systems of differential equations; boundary-value problems; solution by shooting method Laboratory projects (specify number of weeks on each) None Estimate Curriculum Category Content (Semester hours) AreaCoreAdvancedAreaCoreAdvancedAlgorithmsData StructuresSoftware DesignProg. LanguagesComp. Arch. Oral and Written Communications Every student is required to submit at least 0 written reports (not including exams, tests, quizzes, or commented programs) of typically 0 page and to make 0 oral presentation of typically 0 minutes duration and at least 0 oral presentations of 0 minutes duration. Include only material that is graded for grammar, spelling, style, and so forth, as well as for technical content, completeness, and accuracy. Social and Ethical Issues Please list the topics that address the social and ethical implications of computing covered in all course sections. Estimate the class time spent on each topic. In what ways are the students in this course graded on their understanding of these topics (e.g., test questions, essays, oral presentations, and so forth)? Not applicable to Computer Science Program Theoretical Content Please list the types of theoretical material covered, and estimate the time devoted to such coverage. Not applicable to Computer Science Program Problem Analysis Please describe the analysis experiences common to all course sections. Not applicable to Computer Science Program Solution Design Please describe the design experiences common to all course sections. Not applicable to Computer Science Program COURSE DESCRIPTION Dept., NumberMATH 482Course TitleCombinatorial AlgorithmsSemester hours3Course CoordinatorRobert HendersonURL (if any): Current Catalog Description Computer oriented study of seminumerical and non-numerical algorithms. Sorting, tree searching, generation of combinatorial structures, algorithm proof techniques, best algorithms, programming complexity. Textbook Cormen TH, Leiserson CE, Rivest RL, & Stein C. Introduction to Algorithms. 2nd edition. The MIT Press, 2001. References Grimaldi RP. Discrete and Combinatorial Mathematics: An Applied Introduction. 5th edition. Addison Wesley, 2003 Graham RL, Knuth DE, & Patashnik O. Concrete Mathematics: A Foundation for Computer Science. 2nd edition. Addison-Wesley Professional, 1994. Selected research papers. Course Goals Become familiar with the language of the literature, e.g., asymptotic notation, pseudocode conventions (see p. 19 of text), graph conventions, etc. Scholarship Dig & Find: learn how to use the table of contents and index of the text to locate specific canonical examples Assimilate: be able to reproduce an example from the book from memory without notes Communicate: be able to write up and present your work in a form in which others can easily follow and understand. Learn how to mathematically solve certain types of recurrences. These recurrences describe the running time (complexity) of recursive algorithms. Get an idea of how to establish an asymptotic time bound for a nontrivial algorithm. Create and run a computer program to solve the puzzle "Generalized Instant Insanity." We will gain a solid understanding of this puzzle by first examining smaller instances with manipulative models. Understand the principles of dynamic programming. Understand amortized analysis, and how it is used to describe the performance of Fibonacci Heap data structures. Become familiar with graph-theoretic concepts and terminology, in particular, as applied to spanning trees of graphs Study in depth a complex algorithm: Relabel-To-Front Algorithm for maximum flow Prerequisites by Topic First year calculus (Math 150A, 150B), linear algebra (262) and some computer programming experience Major Topics Covered in the Course What is an algorithm? Algorithms as a technology Analysis of Insertion Sort Merge Sort and the divide-and-conquer approach The Minimum Spanning Tree (MST) Problem Prims algorithm The single-source shortest path problem Dijkstras algorithm Theorem 23.1: Growing an MST Correctness of Prims algorithm Correctness of Dijkstras algorithm Asymptotic notation, ranking function growth Solving recurrences, recursion trees, Master Method, gap cases Instant Insanity Puzzle and programming assignment Heapsort Quicksort Selection in linear time Binary Search Trees Josephus Problem solution through Dynamic Order Statistic Tree (OST) Red-Black Trees Dynamic Programming, Matrix-chain multiplication problem Fibonacci Heaps and Amortized Analysis Time analysis of Prims and Dijkstras algorithms using FH data structure Maximum flow, Relabel-to-Front algorithm Laboratory projects (specify number of weeks on each) One major programming project for the semester: program an NP-Complete problem, to solve for a relatively small instance. Estimate Curriculum Category Content (Semester hours) AreaCoreAdvancedAreaCoreAdvancedAlgorithms1Data Structures0.5Software Design0Prog. Languages0.5Comp. Arch.0 Oral and Written Communications Every student is required to submit at least 6 written reports (not including exams, tests, quizzes, or commented programs) of typically 8 pages and to make 0 oral presentation of typically 0 minutes duration and at least 0 oral presentations of 0 minutes duration. Include only material that is graded for grammar, spelling, style, and so forth, as well as for technical content, completeness, and accuracy. Social and Ethical Issues Please list the topics that address the social and ethical implications of computing covered in all course sections. Estimate the class time spent on each topic. In what ways are the students in this course graded on their understanding of these topics (e.g., test questions, essays, oral presentations, and so forth)? Not applicable to Computer Science Program Theoretical Content Please list the types of theoretical material covered, and estimate the time devoted to such coverage. Not applicable to Computer Science Program Problem Analysis Please describe the analysis experiences common to all course sections. Not applicable to Computer Science Program Solution Design Please describe the design experiences common to all course sections. Not applicable to Computer Science Program Lab Science Course Descriptions COURSE DESCRIPTION Dept., NumberBIOL 106Course TitleBiological Principles ISemester hours3Course CoordinatorRandy Cohen Jim W. DoleURL (if any): Current Catalog Description Primarily for Biology majors. Half of a two-semester sequence that includes BIOL 107/L. Selected topics illustrating major concepts in biology, including the scientific process, heredity, evolution, taxonomy and systematics, ecology, and animal behavior. Observations, experiments and demonstrations. Emphasis on unifying biological concepts and methods in science. Available for General Education, Natural Sciences, if required in a students major. Lecture 3 hours; lab 3 hours. Textbook Raven PH & Johnson GB. Biology. 4th edition. William C. Brown; 1996  References  Course Goals This course is designed to contribute primarily to student abilities to: Ability to use the scientific method for solving problems and understand the limitations of science Knowledge of the mechanisms of inheritance and the role(s) that genes play in living organisms Appreciation of the biodiversity and the mechanisms biologists use in organizing and classifying organisms Knowledge of how populations change over time, including the roles of mutation, natural selection and genetic drift on those changes Understanding of the immediate and long-term (evolutionary) consequences of interactions among organisms and between organisms and their physical environment. Knowledge of basic biology and life cycles of animals, plants, fungi and microbes Prerequisites by Topic None  Major Topics Covered in the Course This course is designed to contribute primarily to student abilities to: Ability to use the scientific method for solving problems and understand the limitations of science Knowledge of the mechanisms of inheritance and the role(s) that genes play in living organisms Appreciation of the biodiversity and the mechanisms biologists use in organizing and classifying organisms Knowledge of how populations change over time, including the roles of mutation, natural selection and genetic drift on those changes Understanding of the immediate and long-term (evolutionary) consequences of interactions among organisms and between organisms and their physical environment. Knowledge of basic biology and life cycles of animals, plants, fungi and microbes Topics covered Introduction, Scientific Process, Heredity Meiosis (and Mitosis) Mendel's laws, probability Inheritance patterns: chromosomes, genes, alleles; interactions Mutation (Mendelian); Human genetic defects Evolution Origin of life Evidence for evolution Natural selection Hardy-Weinberg Principle: factors influencing allelic frequencies -- genetic drift, nonrandom mating, migration, gene linkage Speciation: isolating mechanisms, allopatry, sympatry, adaptive radiation Patterns of evolution, gradualism, punctuated equilibrium; Micro- and macroevolution Taxonomy and Systematics -- the 5 kingdom system (NOTE: This topic is emphasized in laboratory at CSUN.) Monera, Protista, Fungi Plants Structure, classification, phylogeny Diversity, adaptations to land Alternation of generations in moss, fern, pine, and flowering plants Animals Morphology, classification, phylogeny; Survey of acoelomate, pseudocoelomate, protostome, and deuterostome phyla Diversity, environmental adaptations Ecology Population Growth models and life history strategies Demography -- life tables, age structure, limiting factors Community Competition, predation, parasitism, mutualism Coevolution Biomes Ecosystem -- interactions between community and environment Energy flow, productivity Biogeochemical cycles Succession Biogeography Animal Behavior Genetic and environmental basis of Learning Orientation and migration Communication Reproduction; Feeding; Anti-predation Sociobiology; Individual, kin, and group selection Laboratory projects (specify number of weeks on each) None Estimate Curriculum Category Content (Semester hours) AreaCoreAdvancedAreaCoreAdvancedAlgorithmsData StructuresSoftware DesignProg. LanguagesComp. Arch. Oral and Written Communications Every student is required to submit at least 0 written reports (not including exams, tests, quizzes, or commented programs) of typically 0 page and to make 0 oral presentation of typically 0 minutes duration and at least 0 oral presentations of 0 minutes duration. Include only material that is graded for grammar, spelling, style, and so forth, as well as for technical content, completeness, and accuracy. Social and Ethical Issues Please list the topics that address the social and ethical implications of computing covered in all course sections. Estimate the class time spent on each topic. In what ways are the students in this course graded on their understanding of these topics (e.g., test questions, essays, oral presentations, and so forth)? Not applicable to Computer Science Program Theoretical Content Please list the types of theoretical material covered, and estimate the time devoted to such coverage. Not applicable to Computer Science Program Problem Analysis Please describe the analysis experiences common to all course sections. Not applicable to Computer Science Program Solution Design Please describe the design experiences common to all course sections. Not applicable to Computer Science Program COURSE DESCRIPTION Dept., NumberBIOL 106LCourse TitleBiological Principles I LabSemester hours1Course CoordinatorRandy Cohen Jim W. DoleURL (if any): Current Catalog Description Primarily for Biology majors. Half of a two-semester sequence that includes BIOL 107/L. Selected topics illustrating major concepts in biology, including the scientific process, heredity, evolution, taxonomy and systematics, ecology, and animal behavior. Observations, experiments and demonstrations. Emphasis on unifying biological concepts and methods in science. Available for General Education, Natural Sciences, if required in a students major. Lecture 3 hours; lab 3 hours. Textbook Dole, Cohen, & Matos. The Diversity of Life: A Laboratory Manual, 2nd edition - CSUN Dissection Kit  References  Course Goals This course is designed to contribute primarily to the students: Ability to effectively use a compound microscope Knowledge of the relationships, structure and life cycles of the major biological taxa How the biological classification system works and the principal components thereof Understanding of the role of natural selection in evolution Ability to use and discuss the scientific method in solving problems Prerequisites by Topic Corequisite: BIOL 106 lecture. Major Topics Covered in the Course The Microscope and the Cell Protozoa and Slime Molds Bacteria & Archaea Pseudocoelomates & Lower Coelomates Arthropods Deuterostomes Fungi Evolution Algae Bryophytes Ferns & Gymnosperms Angiosperms Laboratory projects (specify number of weeks on each) See above Estimate Curriculum Category Content (Semester hours) AreaCoreAdvancedAreaCoreAdvancedAlgorithmsData StructuresSoftware DesignProg. LanguagesComp. Arch. Oral and Written Communications Every student is required to submit at least 0 written reports (not including exams, tests, quizzes, or commented programs) of typically 0 page and to make 0 oral presentation of typically 0 minutes duration and at least 0 oral presentations of 0 minutes duration. Include only material that is graded for grammar, spelling, style, and so forth, as well as for technical content, completeness, and accuracy. Social and Ethical Issues Please list the topics that address the social and ethical implications of computing covered in all course sections. Estimate the class time spent on each topic. In what ways are the students in this course graded on their understanding of these topics (e.g., test questions, essays, oral presentations, and so forth)? Not applicable to Computer Science Program Theoretical Content Please list the types of theoretical material covered, and estimate the time devoted to such coverage. Not applicable to Computer Science Program Problem Analysis Please describe the analysis experiences common to all course sections. Not applicable to Computer Science Program Solution Design Please describe the design experiences common to all course sections. Not applicable to Computer Science Program COURSE DESCRIPTION Dept., NumberBIOL 107Course TitleBiological Principles IISemester hours3Course CoordinatorStan MetzenbergURL (if any): Current Catalog Description Half of a two-semester sequence that includes BIOL 106/L. Selected topics illustrating major concepts in biology, including biological chemistry, cells, molecular genetics, animal development, and plant and animal physiology. Observations, experiments and demonstrations. Emphasis on unifying biological concepts and methods in science. Available for General Education, Natural Sciences, if required in a students major. Lecture 3 hours; lab 3 hours. Textbook Raven P, Johnson G, Losos J, & Singer S. Biology, 7th edition. Tata McGraw-Hill; 2005  References  Course Goals This course is designed to contribute primarily to student abilities to: Understand the physical and chemical basis for life. Know the details of cellular structure and function. Understand the molecular basis of inheritance and of gene expression. Know the basic physiology of higher plants and animals. Prerequisites by Topic None  Major Topics Covered in the Course Molecules and Cells Basic Biological Chemistry Atoms, bonding, molecules, salts, pH, buffers, water, gases Chemical reactions (NOTE: The foregoing two items will be taught primarily in the pre- or co-requisite chemistry courses.) Carbohydrates, lipids, proteins, nucleic acids Enzymes; coenzymes, cofactors, rates of activity, regulation Cells Procaryotic & eucaryotic and plant ~ animal cells; viruses Structure ~ function of organelles, including membranes, endoplasmic reticulum, mobility, secretion, endocytosis Cell cycle: cytokinesis and mitosis Energy Transformations ATP, energy transfer, chemiosmosis Photosynthesis, C3 and C4 Respiration: glycolysis, fermentation, aerobic; ATP & energy yields Molecular Genetics DNA, Structure and replication of chromosomes; Nucleosomes Flow of Genetic Information RNA, Genetic Code, Transcription, mRNA Editing Translation and Protein Synthesis Protein Structure and Function; Enzyme Reactions Regulation of Gene Expression in Procaryotes and Eucaryotes Mutation (molecular level; cf. IID, First Semester) Recombinant DNA, DNA cloning, Hybridization, Genetic Engineering Animal Development Gametogenesis, Fertilization Embryogeny Development: Description, Mechanisms including gene regulation Physiology Plants Seed formation, germination, development, growth & its hormonal regulation Plant response to stimuli: tropisms, photoperiodicity Translocation of water, ions, & organic substances; storage Gaseous exchange Animals Function of tissues, organs, and systems with emphasis on the vertebrates Muscle Nervous and sensory systems Glandular tissues and hormones Circulatory systems, blood, and gas exchange Digestion Excretion and regulation of body fluids Reproduction The immune system Homeostasis Laboratory projects (specify number of weeks on each) None Estimate Curriculum Category Content (Semester hours) AreaCoreAdvancedAreaCoreAdvancedAlgorithmsData StructuresSoftware DesignProg. LanguagesComp. Arch. Oral and Written Communications Every student is required to submit at least 0 written reports (not including exams, tests, quizzes, or commented programs) of typically 0 page and to make 0 oral presentation of typically 0 minutes duration and at least 0 oral presentations of 0 minutes duration. Include only material that is graded for grammar, spelling, style, and so forth, as well as for technical content, completeness, and accuracy. Social and Ethical Issues Please list the topics that address the social and ethical implications of computing covered in all course sections. Estimate the class time spent on each topic. In what ways are the students in this course graded on their understanding of these topics (e.g., test questions, essays, oral presentations, and so forth)? Not applicable to Computer Science Program Theoretical Content Please list the types of theoretical material covered, and estimate the time devoted to such coverage. Not applicable to Computer Science Program Problem Analysis Please describe the analysis experiences common to all course sections. Not applicable to Computer Science Program Solution Design Please describe the design experiences common to all course sections. Not applicable to Computer Science Program COURSE DESCRIPTION Dept., NumberBIOL 107LCourse TitleBiological Principles II LabSemester hours1Course CoordinatorStan MetzenbergURL (if any): Current Catalog Description Half of a two-semester sequence that includes BIOL 106/L. Selected topics illustrating major concepts in biology, including biological chemistry, cells, molecular genetics, animal development, and plant and animal physiology. Observations, experiments and demonstrations. Emphasis on unifying biological concepts and methods in science. Available for General Education, Natural Sciences, if required in a students major. Lecture 3 hours; lab 3 hours. Textbook Baresi, Wilson, Zavala. Biology 107 Lab Manual - CSUN Dissection Kit References  Course Goals This course is designed to contribute primarily to the students: Understanding of experimental biology Understanding of cellular processes Understanding of plant and animal form and function Prerequisites by Topic Corequisite: BIOL 107 lecture.  Major Topics Covered in the Course Experiments and Osmosis Macromoloecules and Enzymes Respiration and Survey of Organelles Photosynthesis Transfer of Antibiotic Resistance Electrophoresis and Gene Expression Hormones and Control Scoring & More on Transport Meristems, Tissues, and Organs Overview of the Pig Viscera Circularoty and Connective Tissues Laboratory projects (specify number of weeks on each) See above Estimate Curriculum Category Content (Semester hours) AreaCoreAdvancedAreaCoreAdvancedAlgorithmsData StructuresSoftware DesignProg. LanguagesComp. Arch. Oral and Written Communications Every student is required to submit at least 0 written reports (not including exams, tests, quizzes, or commented programs) of typically 0 page and to make 0 oral presentation of typically 0 minutes duration and at least 0 oral presentations of 0 minutes duration. Include only material that is graded for grammar, spelling, style, and so forth, as well as for technical content, completeness, and accuracy. Social and Ethical Issues Please list the topics that address the social and ethical implications of computing covered in all course sections. Estimate the class time spent on each topic. In what ways are the students in this course graded on their understanding of these topics (e.g., test questions, essays, oral presentations, and so forth)? Not applicable to Computer Science Program Theoretical Content Please list the types of theoretical material covered, and estimate the time devoted to such coverage. Not applicable to Computer Science Program Problem Analysis Please describe the analysis experiences common to all course sections. Not applicable to Computer Science Program Solution Design Please describe the design experiences common to all course sections. Not applicable to Computer Science Program COURSE DESCRIPTION Dept., NumberCHEM 101Course TitleGeneral Chemistry ISemester hours4Course CoordinatorSandor ReichmanURL (if any): Current Catalog Description Basic course in the fundamental principles and theories with special emphasis on chemical calculations. Includes a discussion of the kinetic molecular theory, atomic structures, and the periodic table, solutions, and oxidation-reduction. Recitation portion deals with problem solving, review of the lecture material and quizzes. Lab: Emphasizes basic lab skills, quantitative relationships in chemistry, and inorganic preparative procedures. Completion of CHEM 101/L satisfies General Education Natural Sciences including the corresponding lab requirement. 3 hours lecture; 1 hour recitation per week; 3 hours lab per week. Textbook Moore JW, Stanitski CL, & Jurs PC.  HYPERLINK "http://www.amazon.com/Chemistry-Molecular-Science-Printed-ThomsonNOW/dp/049510521X/sr=8-2/qid=1165516064/ref=sr_1_2/102-6396402-1193703?ie=UTF8&s=books" Chemistry: The Molecular Science. 3rd edition. Brooks Cole, 2007  References  Course Goals Understand the atomic theory. Learn nomenclature of both inorganic and organic compounds. Learn how to predict products of simple chemical reactions such as synthesis, decomposition, single and double replacement reactions. Master stoichiometric calculations, including solution and gas phase stoichiometry. Understand the first law of Thermodynamics, the definition of Enthalpy and to be able to calculate heats of reactions. Learn about atomic and molecular structure and chemical bonding. Discuss the properties of gases, liquids and solids, and phase changes. Apply the kinetic molecular theory to understand phase transitions. Prerequisites by Topic Completion of pre-chemistry requirements (Prerequisite: Satisfactory score on the Chemistry Placement Test (CPT) or a grade of C or higher in CHEM 100 taken at CSUN only. Corequisite: CHEM 101L.) Major Topics Covered in the Course Elements and compounds, including the definition of mole (Ch. 1-3) 3.5 weeks Stoichiometry ( Ch. 4) 1.5 weeks Chemical reactions, net ionic equations, balancing redox equations, solution stoichiometry (Ch. 5 and beginning of Ch. 19) 2 weeks. Thermochemistry (Ch. 6) 1.5 weeks. Atomic and molecular structure and bonding (Ch. 7,8,9 ) 3.5 weeks Gases, liquids and solids (Ch. 10, 11) 2.5 weeks. Laboratory projects (specify number of weeks on each) None Estimate Curriculum Category Content (Semester hours) AreaCoreAdvancedAreaCoreAdvancedAlgorithmsData StructuresSoftware DesignProg. LanguagesComp. Arch. Oral and Written Communications Every student is required to submit at least 0 written reports (not including exams, tests, quizzes, or commented programs) of typically 0 page and to make 0 oral presentation of typically 0 minutes duration and at least 0 oral presentations of 0 minutes duration. Include only material that is graded for grammar, spelling, style, and so forth, as well as for technical content, completeness, and accuracy. Social and Ethical Issues Please list the topics that address the social and ethical implications of computing covered in all course sections. Estimate the class time spent on each topic. In what ways are the students in this course graded on their understanding of these topics (e.g., test questions, essays, oral presentations, and so forth)? Not applicable to Computer Science Program Theoretical Content Please list the types of theoretical material covered, and estimate the time devoted to such coverage. Not applicable to Computer Science Program Problem Analysis Please describe the analysis experiences common to all course sections. Not applicable to Computer Science Program Solution Design Please describe the design experiences common to all course sections. Not applicable to Computer Science Program COURSE DESCRIPTION Dept., NumberCHEM 101LCourse TitleGeneral Chemistry I LabSemester hours1Course CoordinatorDavid MillerURL (if any): Current Catalog Description Basic course in the fundamental principles and theories with special emphasis on chemical calculations. Includes a discussion of the kinetic molecular theory, atomic structures, and the periodic table, solutions, and oxidation-reduction. Recitation portion deals with problem solving, review of the lecture material and quizzes. Lab: Emphasizes basic lab skills, quantitative relationships in chemistry, and inorganic preparative procedures. Completion of CHEM 101/L satisfies General Education Natural Sciences including the corresponding lab requirement. 3 hours lecture; 1 hour recitation per week; 3 hours lab per week. Textbook Laboratory Exercises in General Chemistry: Chemistry 101L, Department of Chemistry and Biochemistry, CSUN. References  Course Goals The activities in this laboratory are designed to help students learn how to: work safely in the laboratory maintain a proper lab notebook write a scientific abstract make mass and volume measurements report the proper number of significant figures for a measurement use EXCEL to plot data and fit data with a trendline dissolve a sample and dilute to a specific volume prepare a dilution series covering a specific concentration range make absorbance measurements using a spectrophotometer construct a calibration curve and interpolate using the equation for this curve use a Bunsen burner to heat a sample to constant mass make careful observations develop logical testing procedures for performing qualitative analyses prepare and standardize a titrant solution titrate an acid solution account for the characteristic line spectrum for each element use fundamental thermochemistry relationships design an experiment assess errors in an experiment draw electron-dot structures, assign shape and polarity and determine the nature of intermolecular forces of attraction for small molecules make a solvent extraction correlate chemical structure with molecular properties Prerequisites by Topic Corequisite: CHEM 101 lecture. Major Topics Covered in the Course Mass & Volume Measurements and Significant Figures Preparing Graphs Spectrophotometric Determination of Copper Analysis of a malachite Mixture Analysis of Unknown Solutions Acid-Base Titrations Atomic Emission Spectra Calorimetry Molecular Structure and Properties Comparison of the -Carotene Content of Raw and Cooked Carrots Laboratory projects (specify number of weeks on each) See above Estimate Curriculum Category Content (Semester hours) AreaCoreAdvancedAreaCoreAdvancedAlgorithmsData StructuresSoftware DesignProg. LanguagesComp. Arch. Oral and Written Communications Every student is required to submit at least 0 written reports (not including exams, tests, quizzes, or commented programs) of typically 0 page and to make 0 oral presentation of typically 0 minutes duration and at least 0 oral presentations of 0 minutes duration. Include only material that is graded for grammar, spelling, style, and so forth, as well as for technical content, completeness, and accuracy. Social and Ethical Issues Please list the topics that address the social and ethical implications of computing covered in all course sections. Estimate the class time spent on each topic. In what ways are the students in this course graded on their understanding of these topics (e.g., test questions, essays, oral presentations, and so forth)? Not applicable to Computer Science Program Theoretical Content Please list the types of theoretical material covered, and estimate the time devoted to such coverage. Not applicable to Computer Science Program Problem Analysis Please describe the analysis experiences common to all course sections. Not applicable to Computer Science Program Solution Design Please describe the design experiences common to all course sections. Not applicable to Computer Science Program COURSE DESCRIPTION Dept., NumberCHEM 102Course TitleGeneral Chemistry IISemester hours4Course CoordinatorNorman DeanURL (if any): Current Catalog Description Continuation of CHEM 101. Introduction to kinetics, gas phase and solution equilibria, electrochemistry, chemical thermodynamics, radio, organic chemistry and the descriptive chemistry of the more familiar metals and nonmetals. Recitation portion deals with problem solving, review of the lecture material and quizzes. Lab: Consists of experiments dealing with kinetics, acid-base and solubility equilibria, selected reactions of metals and nonmetals, and qualitative elemental analysis. Completion of CHEM 102/L satisfies General Education, Natural Sciences including the corresponding lab requirement. 3 hours lecture; 1 hour recitation per week; 3 hours lab per week. Textbook Moore JW, Stanitski CL, & Jurs PC.  HYPERLINK "http://www.amazon.com/Chemistry-Molecular-Science-Printed-ThomsonNOW/dp/049510521X/sr=8-2/qid=1165516064/ref=sr_1_2/102-6396402-1193703?ie=UTF8&s=books" Chemistry: The Molecular Science. 3rd edition. Brooks Cole, 2007 Internet Resource: Online Web Based Learning (Owl) http://owl1.thomsonlearning.com/ References  Course Goals This Course is the second half of a 1 year sequence in General Chemistry. It is designed to contribute to the students abilities in the following areas: Rates of reactions and chemical kinetics General Chemical Equilibria Acid/ Base equilibria and titrations Solubility equilibria Thermodynamics of spontaneous reactions, Entropy, Free Energy Electrochemical Cells Nuclear Chemistry Descriptive Chemistry of the Main Group Elements Prerequisites by Topic First semester chemistry (Prerequisite: CHEM 101/L with a minimum grade of C- in CHEM 101. Corequisite: CHEM 102L.) Major Topics Covered in the Course Topic Chapter:pages Chemical Kinetics - 13:1-10 Chemical Equilibrium - 14: 1-8 Solutes and Solutions - 15:1-6 Acids and Bases - 16:1-10 Aqueous Equilibria - 17:1-6 Thermodynamics - 18: 1-7 Electrochemistry - 19: 1-7 Nuclear Chemistry - 20:1-7 Main Group Chemistry - 21:1-2; 12:5-7 Laboratory projects (specify number of weeks on each) None Estimate Curriculum Category Content (Semester hours) AreaCoreAdvancedAreaCoreAdvancedAlgorithmsData StructuresSoftware DesignProg. LanguagesComp. Arch. Oral and Written Communications Every student is required to submit at least 0 written reports (not including exams, tests, quizzes, or commented programs) of typically 0 page and to make 0 oral presentation of typically 0 minutes duration and at least 0 oral presentations of 0 minutes duration. Include only material that is graded for grammar, spelling, style, and so forth, as well as for technical content, completeness, and accuracy. Social and Ethical Issues Please list the topics that address the social and ethical implications of computing covered in all course sections. Estimate the class time spent on each topic. In what ways are the students in this course graded on their understanding of these topics (e.g., test questions, essays, oral presentations, and so forth)? Not applicable to Computer Science Program Theoretical Content Please list the types of theoretical material covered, and estimate the time devoted to such coverage. Not applicable to Computer Science Program Problem Analysis Please describe the analysis experiences common to all course sections. Not applicable to Computer Science Program Solution Design Please describe the design experiences common to all course sections. Not applicable to Computer Science Program COURSE DESCRIPTION Dept., NumberCHEM 102LCourse TitleGeneral Chemistry II LabSemester hours1Course CoordinatorNorman DeanURL (if any): Current Catalog Description Continuation of CHEM 101L. Introduction to kinetics, gas phase and solution equilibria, electrochemistry, chemical thermodynamics, radio, organic chemistry and the descriptive chemistry of the more familiar metals and nonmetals. Recitation portion deals with problem solving, review of the lecture material and quizzes. Lab: Consists of experiments dealing with kinetics, acid-base and solubility equilibria, selected reactions of metals and nonmetals, and qualitative elemental analysis. Completion of CHEM 102/L satisfies General Education, Natural Sciences including the corresponding lab requirement. 3 hours lecture; 1 hour recitation per week; 3 hours lab per week Textbook Internet Resource: Course Website http://www.csun.edu/~nsd7031 References  Course Goals The main intent of this laboratory course is to reinforce the concepts presented in the Chemistry 102 lecture through hands-on experience. Topics will include control of reaction rates, applications of equilibria, and acid-base chemistry (pH, buffers and titrations). This course is also intended to illustrate the scientific method where observations are made, interpreted, and then applied to understand what is happening. Prerequisites by Topic Corequisite: CHEM 102 lecture. Major Topics Covered in the Course Preparing Reagents Synthesis of Aspirin Chemical Kinetics Chemical Equilibria Solubility Product pH basics pH Titration Curves pH by colorimetry Paper Chromatography Laboratory projects (specify number of weeks on each) See above Estimate Curriculum Category Content (Semester hours) AreaCoreAdvancedAreaCoreAdvancedAlgorithmsData StructuresSoftware DesignProg. LanguagesComp. Arch. Oral and Written Communications Every student is required to submit at least 0 written reports (not including exams, tests, quizzes, or commented programs) of typically 0 page and to make 0 oral presentation of typically 0 minutes duration and at least 0 oral presentations of 0 minutes duration. Include only material that is graded for grammar, spelling, style, and so forth, as well as for technical content, completeness, and accuracy. Social and Ethical Issues Please list the topics that address the social and ethical implications of computing covered in all course sections. Estimate the class time spent on each topic. In what ways are the students in this course graded on their understanding of these topics (e.g., test questions, essays, oral presentations, and so forth)? Not applicable to Computer Science Program Theoretical Content Please list the types of theoretical material covered, and estimate the time devoted to such coverage. Not applicable to Computer Science Program Problem Analysis Please describe the analysis experiences common to all course sections. Not applicable to Computer Science Program Solution Design Please describe the design experiences common to all course sections. Not applicable to Computer Science Program COURSE DESCRIPTION Dept., NumberGEOG 101Course TitleThe Physical EnvironmentSemester hours3Course CoordinatorHelen CoxURL (if any): Current Catalog Description Study of the natural environment; nature, distribution, and relationships of climate, landforms, vegetation, hydrology, and soils. (Available for General Education, Natural Sciences) Textbook Christopherson RW. Geosystems. An Introduction to Physical Geography. 6th edition. Prentice Hall, 2005 References Aguado E & Burt J. Understanding Weather and Climate. 4th edition. Prentice Hall, 2006 Cervelli P. The Threat of Silent Earthquakes. Scientific American 290, p. 86-91, 2004. Gardner C. Monitoring a restless volcano: The 2004 eruption of Mount St. Helens. Geotimes 50, 24-29, 2005. Keller EA, Pinter N & Keller E. Active Tectonics: Earthquakes, Uplift, and Landscape. 2nd edition. Prentice Hall, 2001 Komar PD. Beach Processes and Sedimentation. 2nd edition. Prentice Hall, 1997 McPhee J. The control of nature. Farrar, Strauss and Giroux, 1990 Nelson FE, Anismimov OA, and Shiklomanov NI. Subsidence risk from thawing permafrost. Nature 410, 669-890, 2001 Pinter N, Thomas R, and Wollsinki JH. Assessing flood hazards on dynamic rivers. EOS, Transactions American Geophysical Union 82, 333-39, 2001 Rauber RM, Walsh JE, and Charlevoix DJ. Severe and Hazardous Weather: An Introduction to high Impact Meteorology. 2nd edition. Kendall/Hunt, 2005 Schiermier Q. Tsunamis: A long-term threat. Nature 433, p. 4, 2005 Strahler AH and Strahler A. Modern Physical Geography. 4th edition. Wiley, 1992 Swanson FJ and Dryness CT. Impact of clear cutting and road construction on soil erosion by landslides in the Western Cascade range, Oregon. Geology 7, 393-96, 1975. Westerling et al. Climate, Santa Ana winds and autumn wildfires in southern California. EOS, Transactions American Geophysical Union 85, 294-96, 2004 Yool SR, Eckhardt D, Estes J, & Constantino M. Describing the brushfire hazard in Southern California. Annals of the Association of American Geographers 75, 417-430, 1985 Course Goals Goal A: Building a Knowledge Base Students will identify and define key terms and concepts relative to the physical landscape. Students will recognize significant landforms and weather patterns. Students will identify and explain basic facts, rules, principles, and laws in the biological and physical sciences. Students will understand how the methods of scientific inquiry are used to obtain new scientific data and to advance the current level of knowledge. Students will recognize the assumptions and limitations of science. Students will recognize the role of science in human society and how scientific achievements affect everyday life. Goal B: Acquiring Knowledge Students will develop skills for acquiring new knowledge Students will recall information presented to them textually, cartographically and through numerical or graphical information. Students will be introduced to sources of information in physical geography (maps, graphs, internet data) Goal C: Problem Solving Skills Students will demonstrate their problem solving skills Students will apply abstract concepts, such as the environmental lapse rate, to real-world situations Students will consider how maps and concepts relay information on changing weather conditions for example, the effects of an incoming Category 4 hurricane. Students will consider how the information relayed in this class can be used in real life decisions: safe locations for home purchases; informed voting; etc.  Prerequisites by Topic None Major Topics Covered in the Course The Energy-Atmosphere System Solar Energy/Seasons Earths modern atmosphere Atmosphere and surface energy balances Global temperatures Atmospheric and oceanic circulations Water, Weather, and Climate Systems Water and atmospheric moisture Weather Water resources Global climate systems The Earth-Atmosphere Interface The dynamic planet Tectonics, earthquakes, and volcanism Weathering, karst, and mass movement River systems and landforms Eolian processes and arid landscapes The oceans, coastal processes and landforms Glacial and periglacial processes and landforms Soils, Ecosystems, and Biomes The geography of soils Ecosystem essentials Terrestrial biomes Earth and the human denominator. Laboratory projects (specify number of weeks on each) None Estimate Curriculum Category Content (Semester hours) AreaCoreAdvancedAreaCoreAdvancedAlgorithmsData StructuresSoftware DesignProg. LanguagesComp. Arch. Oral and Written Communications Every student is required to submit at least 3 written reports (not including exams, tests, quizzes, or commented programs) of typically 4 pages and to make 0 oral presentation of typically 0 minutes duration and at least 0 oral presentations of 0 minutes duration. Include only material that is graded for grammar, spelling, style, and so forth, as well as for technical content, completeness, and accuracy. Social and Ethical Issues Please list the topics that address the social and ethical implications of computing covered in all course sections. Estimate the class time spent on each topic. In what ways are the students in this course graded on their understanding of these topics (e.g., test questions, essays, oral presentations, and so forth)? Not applicable to Computer Science Program Theoretical Content Please list the types of theoretical material covered, and estimate the time devoted to such coverage. Not applicable to Computer Science Program Problem Analysis Please describe the analysis experiences common to all course sections. Not applicable to Computer Science Program Solution Design Please describe the design experiences common to all course sections. Not applicable to Computer Science Program COURSE DESCRIPTION Dept., NumberGEOG 102Course TitlePhysical Geography LabSemester hours1Course CoordinatorHelen CoxURL (if any): Current Catalog Description Study of the natural environment; nature, distribution, and relationships of climate, landforms, vegetation, hydrology, and soils. (Available for General Education, Natural Sciences) Textbook The lab manual is compiled from two texts: Tarbuck EJ, Lutgens FK, and Pinzke KG (T, L & P). Applications and Investigations in Earth Science. 2nd edition. Prentice Hall, 1997 Christopherson RW and Thomsen CE (C & L). Applied Physical Geography. Geosystems in the Laboratory. 6th edition. Prentice Hall, 2005 References Aguado E & Burt J. Understanding Weather and Climate. 4th edition. Prentice Hall, 2006 Cervelli P. The Threat of Silent Earthquakes. Scientific American 290, p. 86-91, 2004. Gardner C. Monitoring a restless volcano: The 2004 eruption of Mount St. Helens. Geotimes 50, 24-29, 2005. Keller EA, Pinter N & Keller E. Active Tectonics: Earthquakes, Uplift, and Landscape. 2nd edition. Prentice Hall, 2001 Komar PD. Beach Processes and Sedimentation. 2nd edition. Prentice Hall, 1997 McPhee J. The control of nature. Farrar, Strauss and Giroux, 1990 Nelson FE, Anismimov OA, and Shiklomanov NI. Subsidence risk from thawing permafrost. Nature 410, 669-890, 2001 Pinter N, Thomas R, and Wollsinki JH. Assessing flood hazards on dynamic rivers. EOS, Transactions American Geophysical Union 82, 333-39, 2001 Rauber RM, Walsh JE, and Charlevoix DJ. Severe and Hazardous Weather: An Introduction to high Impact Meteorology. 2nd edition. Kendall/Hunt, 2005 Schiermier Q. Tsunamis: A long-term threat. Nature 433, p. 4, 2005 Strahler AH and Strahler A. Modern Physical Geography. 4th edition. Wiley, 1992 Swanson FJ and Dryness CT. Impact of clear cutting and road construction on soil erosion by landslides in the Western Cascade range, Oregon. Geology 7, 393-96, 1975. Westerling et al. Climate, Santa Ana winds and autumn wildfires in southern California. EOS, Transactions American Geophysical Union 85, 294-96, 2004 Yool SR, Eckhardt D, Estes J, & Constantino M. Describing the brushfire hazard in Southern California. Annals of the Association of American Geographers 75, 417-430, 1985 Course Goals Goal A: Building a Knowledge Base Students will identify and define key terms and concepts relative to the physical landscape. Students will recognize significant landforms and weather patterns. Students will identify and explain basic facts, rules, principles, and laws in the biological and physical sciences. Students will understand how the methods of scientific inquiry are used to obtain new scientific data and to advance the current level of knowledge. Students will recognize the assumptions and limitations of science. Students will recognize the role of science in human society and how scientific achievements affect everyday life. Goal B: Acquiring Knowledge Students will develop skills for acquiring new knowledge Students will recall information presented to them textually, cartographically and through numerical or graphical information. Students will be introduced to sources of information in physical geography (maps, graphs, internet data) Goal C: Problem Solving Skills Students will demonstrate their problem solving skills Students will apply abstract concepts, such as the environmental lapse rate, to real-world situations Students will consider how maps and concepts relay information on changing weather conditions for example, the effects of an incoming Category 4 hurricane. Students will consider how the information relayed in this class can be used in real life decisions: safe locations for home purchases; informed voting; etc. Prerequisites by Topic Corequisite: GEOG 101 lecture or equivalent. Major Topics Covered in the Course The Energy-Atmosphere System Solar Energy/Seasons; Earths modern atmosphere; Atmosphere and surface energy balances; Global temperatures; Atmospheric and oceanic circulations Water, Weather, and Climate Systems Water and atmospheric moisture; Weather; Water resources; Global climate systems The Earth-Atmosphere Interface The dynamic planet; Tectonics, earthquakes, and volcanism; Weathering, karst, and mass movement; River systems and landforms; Eolian processes and arid landscapes; The oceans, coastal processes and landforms; Glacial and periglacial processes and landforms Soils, Ecosystems, and Biomes The geography of soils; Ecosystem essentials; Terrestrial biomes Earth and the Human Denominator Laboratory projects (specify number of weeks on each) Ex 21 T, L & P: Location and Distance on Earth Ex 22 T, L & P: The Metric System, Measurements and Scientific Inquiry Ex 3 C & T: Map Projections, Map Reading and Interpretation Ex 3 T, L & P: Introduction to Aerial Photographs and Topographic Maps Ex 12 T, L & P: Earth-Sun Relations Ex 4 T, L & P: Shaping Earths Surface Running Water and Groundwater Ex 16 T, L & P: Global Climates Ex 12 C& T: Plate Tectonics: Global Patterns and Volcanism Ex 5 T, L & P: Shaping Earths Surface Arid and Glacial Landscapes Ex 18 C & T: Soils Estimate Curriculum Category Content (Semester hours) AreaCoreAdvancedAreaCoreAdvancedAlgorithmsData StructuresSoftware DesignProg. LanguagesComp. Arch. Oral and Written Communications Every student is required to submit at least 9 written reports (not including exams, tests, quizzes, or commented programs) of typically 4 pages and to make 0 oral presentation of typically 0 minutes duration and at least 0 oral presentations of 0 minutes duration. Include only material that is graded for grammar, spelling, style, and so forth, as well as for technical content, completeness, and accuracy. Social and Ethical Issues Please list the topics that address the social and ethical implications of computing covered in all course sections. Estimate the class time spent on each topic. In what ways are the students in this course graded on their understanding of these topics (e.g., test questions, essays, oral presentations, and so forth)? Not applicable to Computer Science Program Theoretical Content Please list the types of theoretical material covered, and estimate the time devoted to such coverage. Not applicable to Computer Science Program Problem Analysis Please describe the analysis experiences common to all course sections. Not applicable to Computer Science Program Solution Design Please describe the design experiences common to all course sections. Not applicable to Computer Science Program COURSE DESCRIPTION Dept., NumberGEOG 103Course TitleWeatherSemester hours3Course CoordinatorHelen CoxURL (if any):http://www.csun.edu/~hmc60533/CSUN_103/103_intro.htm Current Catalog Description Study of atmospheric processes. (Available for General Education, Natural Sciences) Textbook Moran JM. Weather Studies. Introduction to Atmospheric Science. 2nd edition. American Meteorological Society, 2006 References Ahrens CD. Meteorology Today. 8th edition. Brooks/Cole, 2007 Aguado E & Burt JE. Understanding weather and climate. 4th edition. Pearson Education, Inc., 2007 California Climate Change Center (CCCC). Our changing climate: Assessing the risks to California. CCCC report: CEC-500-2006-077, 2006 Deser C, & Wallace JM. El Nino events and their relation to the Southern Oscillation. J. Geophys. Res., 92:14189-14196, 1987 Environmental Protection Agency (EPA). Acid Rain Program: Overview. www.epa.gov/airmarkets/arp/overview.html, 2006a Graedel T, & Crutzen P. The Changing Atmosphere, Scientific American, Vol. 261(3), 1989. Hansen J, Sato M, Ruedy R, Lo K, Lea DW, & Medina-Elizade M. Global temperature change. Proc. Nat. Acad. Sc., 103:14288-14293, 2006 IPCC: Climate Change 2001: The Scientific Basis. (Technical Summary of the Report by the International Panel on Climate Change) Karl & Trenberth K. The Human Impact on Climate, Scientific American, 281(6), 1999 Kump LR, Kasting JF, & Crane RG. The Earth System. 2nd edition. PrenticeHall, 2003 Lutgens FK, & Tarbuck EJ. The Atmosphere: An Introduction to Meteorology. 10th edition. Prentice Hall, 2006 Prather M, et al.. Fresh air in the 21st century? Geophys. Res. Lett., 30(2):1100, doi:10.1029/2002GL016285. 2003 Raynaud D, et al. The Ice Record of Greenhouse Gases, Science, Vol 259(5097):926-934, 1993 Schneider S. The Changing Climate, Scientific American, 261(3), 1989. Stolarski R., 1988. The Antarctic Ozone Hole, Scientific American, Vol 258, 1, 1988. Trenberth K. Uncertainty in hurricanes and global warming. Science, 308:1753-1754, 2005 Trenberth KE, Hoar TJ. The 1990-1995 El Nio-Southern Oscillation ever: longest on record. Geophysical Research Letters, Volume 23(1):57-60, 1996 Turco RP. Earth Under Siege, Oxford University Press, 1997 Course Goals Goal A: Building a Knowledge Base Students will understand: the composition, pressure and temperature structure of the atmosphere. the electromagnetic spectrum and the Earths energy balance. the greenhouse effect and global warming. the Earths seasons. daily and seasonal variations in temperature. the factors controlling climate in different parts of the world. pressure gradients and winds. the factors controlling the weather in Los Angeles. how to read a weather map. local and regional winds. global circulation patterns and global climate patterns. about weather in different parts of the United States. mid-latitude cyclones and the weather conditions they bring. the concept of humidity and saturation. the formation of clouds and precipitation. the concept of atmospheric stability. the causes of air pollution in Los Angeles. the causes and effects of thunderstorms and hurricanes. El Nino and its importance. how the methods of scientific inquiry are used to obtain new scientific data and to advance the current level of knowledge. Students will recognize: the assumptions and limitations of science. the role of science in human society and how scientific achievements affect everyday life. Goal B: Acquiring Knowledge Students will develop skills for acquiring new knowledge. take comprehensive lecture notes during class. read supplementary material referenced in class. reference internet weather sites to read and interpret weather maps. Goal C: Problem Solving Skills Students will assimilate knowledge from different parts of the course to understand the atmosphere, climate and weather. demonstrate their knowledge by analyzing weather maps. demonstrate their ability to apply facts to their understanding of the physical world around them. Goal D: Communicating Knowledge Students will communicate the knowledge they have gained from different parts of the course to explain local weather and smog, the causes and effects of El Nino, global and regional weather and climate, the causes of wind and precipitation, and the reasons for daily and seasonal variations in temperature. Students will communicate their knowledge of weather and weather forecasts by reading and interpreting synoptic scale weather maps. Prerequisites by Topic None Major Topics Covered in the Course Composition and structure of the atmosphere Radiation and the energy balance (greenhouse effect) Earth-sun relationship (seasons) Air pressure and winds Global circulation of air Our weather fronts and cyclones Clouds, rain and snow Reading and Interpreting weather maps Laboratory projects (specify number of weeks on each) None Estimate Curriculum Category Content (Semester hours) AreaCoreAdvancedAreaCoreAdvancedAlgorithmsData StructuresSoftware DesignProg. LanguagesComp. Arch. Oral and Written Communications Every student is required to submit at least 6 written reports (not including exams, tests, quizzes, or commented programs) of typically 1 page and to make 0 oral presentation of typically 0 minutes duration and at least 0 oral presentations of 0 minutes duration. Include only material that is graded for grammar, spelling, style, and so forth, as well as for technical content, completeness, and accuracy. Social and Ethical Issues Please list the topics that address the social and ethical implications of computing covered in all course sections. Estimate the class time spent on each topic. In what ways are the students in this course graded on their understanding of these topics (e.g., test questions, essays, oral presentations, and so forth)? Not applicable to Computer Science Program Theoretical Content Please list the types of theoretical material covered, and estimate the time devoted to such coverage. Not applicable to Computer Science Program Problem Analysis Please describe the analysis experiences common to all course sections. Not applicable to Computer Science Program Solution Design Please describe the design experiences common to all course sections. Not applicable to Computer Science Program COURSE DESCRIPTION Dept., NumberGEOG 105Course TitleWeather LabSemester hours1Course CoordinatorHelen CoxURL (if any): Current Catalog Description Observations, experiments, and demonstrations designed to familiarize students with the nature of Californias weather and climate. May be used to satisfy the lab requirement in the Natural Science Section of General Education. 3 hours lab per week. Textbook Online Weather Studies Investigations Manual. American Meteorological Society, 2006 References Ahrens CD. Meteorology Today. 8th edition, Brooks Cole, 2007 Aguado E, & Burt JE.. Understanding Weather and Climate. 4th edition, Prentice Hall, 2006 California Climate Change Center (CCCC). Our changing climate: Assessing the risks to California. CCCC report: CEC-500-2006-077, 2006 Deser C, & Wallace JM. El Nino events and their relation to the Southern Oscillation. J. Geophys. Res., 92:14189-14196, 1987. Environmental Protection Agency (EPA),. Acid Rain Program: Overview. www.epa.gov/airmarkets/arp/overview.html, 2006a Graedel T, & Crutzen P. The Changing Atmosphere, Scientific American, 261(3), 1989. Hansen J, Sato M, Ruedy R, Lo K, Lea DW, & Medina-Elizade M.. Global temperature change. Proc. Nat. Acad. Sc., 103:14288-14293, 2006 IPCC: Climate Change 2001: The Scientific Basis. (Technical Summary of the Report by the International Panel on Climate Change), 2001 Karl and Trenberth K. The Human Impact on Climate, Scientific American, 281(6), 1999 Kump LR, Kasting JF, & Crane RG. The Earth System. 2nd edition. PrenticeHall, 2003 Lutgens FK, & Tarbuck EJ. The Atmosphere: An Introduction to Meteorology. 10th edition. Prentice Hall, 2006 Prather M, et al.. Fresh air in the 21st century? Geophys. Res. Lett., 30(2):1100, doi:10.1029/2002GL016285. 2003 Raynaud D, et al. The Ice Record of Greenhouse Gases, Science, Vol 259(5097):926-934, 1993 Schneider S. The Changing Climate, Scientific American, 261(3), 1989. Stolarski R., 1988. The Antarctic Ozone Hole, Scientific American, Vol 258, 1, 1988. Trenberth K. Uncertainty in hurricanes and global warming. Science, 308:1753-1754, 2005 Trenberth KE, Hoar TJ. The 1990-1995 El Nio-Southern Oscillation ever: longest on record. Geophysical Research Letters, Volume 23(1):57-60, 1996 Turco RP. Earth Under Siege, Oxford University Press, 1997 Course Goals Goal A: Building a Knowledge Base Students will understand: the composition, pressure and temperature structure of the atmosphere. the electromagnetic spectrum and the Earths energy balance. the greenhouse effect and global warming. the Earths seasons. daily and seasonal variations in temperature. the factors controlling climate in different parts of the world. pressure gradients and winds. the factors controlling the weather in Los Angeles. local and regional winds. global circulation patterns and global climate patterns. about weather in different parts of the United States. mid-latitude cyclones and the weather conditions they bring. the concept of humidity and saturation. the formation of clouds and precipitation. the concept of atmospheric stability. the causes of air pollution in Los Angeles. the causes and effects of thunderstorms and hurricanes. El Nino and its importance. how the methods of scientific inquiry are used to obtain new scientific data and to advance the current level of knowledge. Students will: learn how to read and interpret a weather map. recognize the assumptions and limitations of science. recognize the role of science in human society and how scientific achievements affect everyday life. Goal B: Acquiring Knowledge Students will: develop skills for acquiring new knowledge. carry out hands-on experiments involving weather phenomena. read supplementary material referenced in class. reference internet weather sites to read and interpret weather maps. Goal C: Problem Solving Skills Students will: assimilate knowledge from different parts of the course to understand the atmosphere, climate and weather. demonstrate their knowledge by analyzing weather maps. demonstrate their ability to apply facts to their understanding of the physical world around them. Goal D: Communicating Knowledge Students will communicate the knowledge they have gained from different parts of the course to explain local weather and smog, the causes and effects of El Nino, global and regional weather and climate, the causes of wind and precipitation, and the reasons for daily and seasonal variations in temperature. Students will communicate their knowledge of weather and weather forecasts by reading and interpreting synoptic scale weather maps. Prerequisites by Topic Corequisite: GEOG 104 or 103 lecture Major Topics Covered in the Course Composition and structure of the atmosphere Radiation and the energy balance (greenhouse effect) Earth-sun relationship (seasons) Air pressure and winds Global circulation of air Our weather fronts and cyclones Clouds, rain and snow Reading and Interpreting weather maps Laboratory projects (specify number of weeks on each) Air pressure and wind (1) Surface weather maps (1) Weather satellite imagery (1) Temperature and air mass advection (1) Air pressure change (1) Clouds, temperature and air pressure (1) Precipitation patterns (1) Surface weather maps and forces (1) Westerlies and the Jet Stream (1) El Nino (1) Thunderstorms (1) Hurricanes (1) Weather observations and instruments (1) Optical phenomena (1) Visualizing climate (1) Estimate Curriculum Category Content (Semester hours) AreaCoreAdvancedAreaCoreAdvancedAlgorithmsData StructuresSoftware DesignProg. LanguagesComp. Arch. Oral and Written Communications Every student is required to submit at least 15 written reports (not including exams, tests, quizzes, or commented programs) of typically 3 pages. Social and Ethical Issues Please list the topics that address the social and ethical implications of computing covered in all course sections. Estimate the class time spent on each topic. In what ways are the students in this course graded on their understanding of these topics (e.g., test questions, essays, oral presentations, and so forth)? Not applicable to Computer Science Program Theoretical Content Please list the types of theoretical material covered, and estimate the time devoted to such coverage. Not applicable to Computer Science Program Problem Analysis Please describe the analysis experiences common to all course sections. Not applicable to Computer Science Program Solution Design Please describe the design experiences common to all course sections. Not applicable to Computer Science Program COURSE DESCRIPTION Dept., NumberGEOL 101Course TitleGeology of Planet EarthSemester hours3Course CoordinatorAli TabidianURL (if any): Current Catalog Description Studies of the geologic materials and processes that shape our earth and environment are explored as they relate to our everyday lives. Topics include: global tectonics; earthquakes and other geologic hazards; glacial, river and coastal processes that form our landscapes; water, mineral and energy resources; and waste disposal and pollution. Students using this course to satisfy the Natural Sciences section of General Education may satisfy the corresponding lab requirement by completing GEOL 102. Students may not receive credit for both GEOL 100 and 101. Lecture 3 hours, field trip. Textbook Plummer C, Carlson D, & McGeary CC. Physical Geology, 11th edition. McGraw Hill, 2005. References  Course Goals Demonstrate an understanding of the roles and impacts of geology to humans and Earths environment Demonstrate a basic understanding of Earths origin, structure, minerals, and rocks Demonstrate and understanding of local and global geologic hazards Demonstrate understanding of the scientific method in geology Prerequisites by Topic  Major Topics Covered in the Course Plate tectonics Atoms elements & minerals time and geology rock cycle igneous rocks and volcanism weathering & soil sediment and sedimentary rocks mass wasting streams floods & groundwater deserts & wind action beaches & coasts geologic structures earthquakes sea floor spreading & plate tectonics mountain belt & continental crust geologic resources Laboratory projects (specify number of weeks on each) None Estimate Curriculum Category Content (Semester hours) AreaCoreAdvancedAreaCoreAdvancedAlgorithmsData StructuresSoftware DesignProg. LanguagesComp. Arch. Oral and Written Communications Every student is required to submit at least 0 written reports (not including exams, tests, quizzes, or commented programs) of typically 0 page and to make 0 oral presentation of typically 0 minutes duration and at least 0 oral presentations of 0 minutes duration. Include only material that is graded for grammar, spelling, style, and so forth, as well as for technical content, completeness, and accuracy. Social and Ethical Issues Please list the topics that address the social and ethical implications of computing covered in all course sections. Estimate the class time spent on each topic. In what ways are the students in this course graded on their understanding of these topics (e.g., test questions, essays, oral presentations, and so forth)? Not applicable to Computer Science Program Theoretical Content Please list the types of theoretical material covered, and estimate the time devoted to such coverage. Not applicable to Computer Science Program Problem Analysis Please describe the analysis experiences common to all course sections. Not applicable to Computer Science Program Solution Design Please describe the design experiences common to all course sections. Not applicable to Computer Science Program COURSE DESCRIPTION Dept., NumberGEOL 102Course TitleGeology of Planet Earth LabSemester hours1Course CoordinatorAli TabidianURL (if any): Current Catalog Description Identification of rocks and minerals. Introduction to topographic maps and how they are used to interpret geologic processes and geologic history. Interpretation of geologic maps and data relating to earthquakes and plate tectonics. Satisfies the lab requirement in Natural Sciences of General Education provided either GEOL 100 or 101 is completed. Lab 3 hours, field trips.  Textbook Busch RM & Tasa D. Laboratory Manual in Physical Geology, 7th edition. Prentice Hall, 2005. References  Course Goals Demonstrate understanding of the basic rock types and geologic structures Demonstrate familiarity with different kinds of maps used in geological sciences Demonstrate ability to view and query about earth process and landforms Prerequisites by Topic Recommended Corequisite or Preparatory: GEOL 100 or GEOL 101 lecture. Major Topics Covered in the Course Earth materials and processes plate tectonics/origin of magma minerals rock cycle and igneous rocks sedimentary and metamorphic rocks geologic dating topographic maps geologic structures stream processes groundwater processes glacier processes dryland landforms Laboratory projects (specify number of weeks on each) 1 week each: Observing and Measuring earth materials and processes Plate tectonics/origin of magma Minerals rock cycle and igneous rocks Sedimentary and metamorphic rocks Geologic dating topographic maps Geologic structures Stream processes Groundwater processes Glacier processes Dryland landforms Estimate Curriculum Category Content (Semester hours) AreaCoreAdvancedAreaCoreAdvancedAlgorithmsData StructuresSoftware DesignProg. LanguagesComp. Arch. Oral and Written Communications Every student is required to submit at least 0 written reports (not including exams, tests, quizzes, or commented programs) of typically 0 page and to make 0 oral presentation of typically 0 minutes duration and at least 0 oral presentations of 0 minutes duration. Include only material that is graded for grammar, spelling, style, and so forth, as well as for technical content, completeness, and accuracy. Social and Ethical Issues Please list the topics that address the social and ethical implications of computing covered in all course sections. Estimate the class time spent on each topic. In what ways are the students in this course graded on their understanding of these topics (e.g., test questions, essays, oral presentations, and so forth)? Not applicable to Computer Science Program Theoretical Content Please list the types of theoretical material covered, and estimate the time devoted to such coverage. Not applicable to Computer Science Program Problem Analysis Please describe the analysis experiences common to all course sections. Not applicable to Computer Science Program Solution Design Please describe the design experiences common to all course sections. Not applicable to Computer Science Program COURSE DESCRIPTION Dept., NumberGEOL 110Course TitleEarth HistorySemester hours3Course CoordinatorAli TabidianURL (if any): Current Catalog Description Introduction to the dynamic study of the Earths evolution, including changes in its crust, oceans, atmosphere, and climate, and how these changes, woven into the fabric of geologic time, affected major groups of plants and animals, including dinosaurs and humans. Students using this course to satisfy a General Education requirement in Natural Sciences may satisfy the corresponding lab requirement by completing GEOL 112. Textbook Levin HL. The Earth through Time, 8th edition. Wiley, 2005. References  Course Goals Demonstrating understanding of the basic geologic concepts which allow us to reconstruct Earth history Demonstrating understanding of the geologic paradigm of plate tectonics and its present and ancient ramifications Demonstrating understanding of the general outline and timing of geologic events during the history of Earth Demonstrating understanding of the outline of bacteria, plant, animal, and protist evolutionary history Demonstrating understanding of the geologic history of North America, emphasizing California and the western United States Prerequisites by Topic None Major Topics Covered in the Course Time scale Measuring time Minerals and rocks Worldwide sea level changes Sedimentary rocks Land Ocean Fossils Time and how organisms change Ecology Earth structure plate tectonics Structural geology Universe and solar system Precambrian: Archean and Proterozoic Early Paleozoic (Mountains and Eastern U.S., critters, geology) Late Paleozoic (Geology, critters/coal/extinctions) Mesozoic (world geology, sea level changes and world climate & critters, forearc, backarc, arc, trench) Nevadan Mountains Late Mesozoic (seaway, dinosaurs, coal) Plate tectonics and early Cenozoic (geology, organisms) Middle Cenozoic (climatic changes to cold, mammals, birds, flowers, insects, grasses) Late Cenozoic (glaciations) Geographic tour of California Geology of California (The Sierra Nevada, Northern Three Provinces, Basin and Range, Southeast Deserts and the Salton trough, North and South Coastal, Los Angeles and Environs) Laboratory projects (specify number of weeks on each) None Estimate Curriculum Category Content (Semester hours) AreaCoreAdvancedAreaCoreAdvancedAlgorithmsData StructuresSoftware DesignProg. LanguagesComp. Arch. Oral and Written Communications Every student is required to submit at least 0 written reports (not including exams, tests, quizzes, or commented programs) of typically 0 page and to make 0 oral presentation of typically 0 minutes duration and at least 0 oral presentations of 0 minutes duration. Include only material that is graded for grammar, spelling, style, and so forth, as well as for technical content, completeness, and accuracy. Social and Ethical Issues Please list the topics that address the social and ethical implications of computing covered in all course sections. Estimate the class time spent on each topic. In what ways are the students in this course graded on their understanding of these topics (e.g., test questions, essays, oral presentations, and so forth)? Not applicable to Computer Science Program Theoretical Content Please list the types of theoretical material covered, and estimate the time devoted to such coverage. Not applicable to Computer Science Program Problem Analysis Please describe the analysis experiences common to all course sections. Not applicable to Computer Science Program Solution Design Please describe the design experiences common to all course sections. Not applicable to Computer Science Program COURSE DESCRIPTION Dept., NumberGEOL 112Course TitleEarth History LabSemester hours1Course CoordinatorAli TabidianURL (if any): Current Catalog Description Course content includes introduction to fossil, relative-age relationships, and construction and interpretation of maps and cross-sections that emphasize paleogeography and sedimentary rocks. May be used to satisfy the lab requirement in Natural Sciences of General Education provided GEOL 110 is completed. Lab 3 hours, a 1-day field trip.  Textbook Brice JC, Brice J, Levin H, & Smith M. Laboratory Studies in Earth History, 8th edition. McGraw Hill, 2003. References  Course Goals Designed to complement Geology 110 and to demonstrate understanding of the history of the Earth and how geology is used to do so. Prerequisites by Topic Recommended Corequisite or Preparatory: GEOL 100 or 101 lecture. Major Topics Covered in the Course Minerals Introduction to rocks Igneous and Metamorphic Rocks Sedimentary rocks Fossils Age relations and Unconformity Geologic Time Plate Tectonics Age correlation of fossils Rock units and time rock units Geologic maps and structures Geologic History of North America Laboratory projects (specify number of weeks on each) 1 week each: Mineral Lab Introduction to rocks, Igneous and Metamorphic Rock lab Sedimentary rocks Fossils Age relations and Unconformity Geologic Time Plate Tectonics Age correlation of fossils Rock units and time rock units Geologic maps and structures (2 weeks) Geologic History of North America Estimate Curriculum Category Content (Semester hours) AreaCoreAdvancedAreaCoreAdvancedAlgorithmsData StructuresSoftware DesignProg. LanguagesComp. Arch. Oral and Written Communications Every student is required to submit at least 0 written reports (not including exams, tests, quizzes, or commented programs) of typically 0 page and to make 0 oral presentation of typically 0 minutes duration and at least 0 oral presentations of 0 minutes duration. Include only material that is graded for grammar, spelling, style, and so forth, as well as for technical content, completeness, and accuracy. Social and Ethical Issues Please list the topics that address the social and ethical implications of computing covered in all course sections. Estimate the class time spent on each topic. In what ways are the students in this course graded on their understanding of these topics (e.g., test questions, essays, oral presentations, and so forth)? Not applicable to Computer Science Program Theoretical Content Please list the types of theoretical material covered, and estimate the time devoted to such coverage. Not applicable to Computer Science Program Problem Analysis Please describe the analysis experiences common to all course sections. Not applicable to Computer Science Program Solution Design Please describe the design experiences common to all course sections. Not applicable to Computer Science Program COURSE DESCRIPTION Dept., NumberPHYS 220ACourse TitleMechanicsSemester hours3Course CoordinatorGang LuURL (if any): Current Catalog Description Dynamics and statics of particles and rigid bodies, harmonic vibrations, and fluid mechanics. Students using this course to satisfy the Natural Sciences requirement in General Education may satisfy the corresponding lab requirement by completing course PHYS 220AL. Textbook Knight RD: Physics for Scientists and Engineers: A Strategic Approach, Volume 1. Addison Wesley, 2003 Online tutorial and homework system: Mastering Physics (http://www.masteringphysics.com) References  Course Goals To learn unifying principles of force, work, energy and momentum and; Apply them to a variety of distinct physical phenomena such as projectile motion, collisions, gravity, uniform circular motion, and oscillations, etc.  Prerequisites by Topic First semester calculus (Prerequisite: MATH 150A. Recommended Corequisite or Preparatory: MATH 150B.) Major Topics Covered in the Course Concepts of motion: distance, time, velocity and acceleration; motion diagrams Vectors algebra and coordinate systems Kinematics General notions of force & motion Motion along a line Motion in a plane Motion in a circle Newtons 3rd Law Impulse & momentum Energy Work Gravity Rotation of rigid body Oscillations Fluids and Elasticity Laboratory projects (specify number of weeks on each) None Estimate Curriculum Category Content (Semester hours) AreaCoreAdvancedAreaCoreAdvancedAlgorithmsData StructuresSoftware DesignProg. LanguagesComp. Arch. Oral and Written Communications Every student is required to submit at least 0 written reports (not including exams, tests, quizzes, or commented programs) of typically 0 page and to make 0 oral presentation of typically 0 minutes duration and at least 0 oral presentations of 0 minutes duration. Include only material that is graded for grammar, spelling, style, and so forth, as well as for technical content, completeness, and accuracy. Social and Ethical Issues Please list the topics that address the social and ethical implications of computing covered in all course sections. Estimate the class time spent on each topic. In what ways are the students in this course graded on their understanding of these topics (e.g., test questions, essays, oral presentations, and so forth)? Not applicable to Computer Science Program Theoretical Content Please list the types of theoretical material covered, and estimate the time devoted to such coverage. Not applicable to Computer Science Program Problem Analysis Please describe the analysis experiences common to all course sections. Not applicable to Computer Science Program Solution Design Please describe the design experiences common to all course sections. Not applicable to Computer Science Program COURSE DESCRIPTION Dept., NumberPHYS 220ALCourse TitleMechanics LabSemester hourslCourse CoordinatorPaul LeeURL (if any): Current Catalog Description May be used to satisfy the lab requirement in Natural Sciences, General Education, provided PHYS 220A is also completed. Three hours per week. Textbook Bales, Barney. Mechanics 220AL Laboratory Manual. CSUN. References  Course Goals This course is designed to contribute primarily to the students: Knowledge of, and ability to apply, mathematics, mechanics, and laboratory skills Awareness and understanding of Newtons Laws in various physical applications Ability to conduct experiments and to analyze and interpret the data obtained Ability to engage in independent learning and to apply this ability to aspects of designing mechanics experiments Ability to communicate effectively in writing Ability to communicate effectively orally Prerequisites by Topic Recommended Corequisite or Preparatory: PHYS 220A lecture. Major Topics Covered in the Course Measurement of Length Free Fall Vector Addition of Forces Instantaneous Velocity in One Dimension Friction Centripetal Forces Ballistic Pendulum Simple Harmonic Motion Simple Pendulum Rotation of Rigid Bodies about a Fixed Axis Physical Pendulum Torsion Pendulum Laboratory projects (specify number of weeks on each) See above Estimate Curriculum Category Content (Semester hours) AreaCoreAdvancedAreaCoreAdvancedAlgorithmsData StructuresSoftware DesignProg. LanguagesComp. Arch. Oral and Written Communications Every student is required to submit at least 0 written reports (not including exams, tests, quizzes, or commented programs) of typically 0 page and to make 0 oral presentation of typically 0 minutes duration and at least 0 oral presentations of 0 minutes duration. Include only material that is graded for grammar, spelling, style, and so forth, as well as for technical content, completeness, and accuracy. Social and Ethical Issues Please list the topics that address the social and ethical implications of computing covered in all course sections. Estimate the class time spent on each topic. In what ways are the students in this course graded on their understanding of these topics (e.g., test questions, essays, oral presentations, and so forth)? Not applicable to Computer Science Program Theoretical Content Please list the types of theoretical material covered, and estimate the time devoted to such coverage. Not applicable to Computer Science Program Problem Analysis Please describe the analysis experiences common to all course sections. Not applicable to Computer Science Program Solution Design Please describe the design experiences common to all course sections. Not applicable to Computer Science Program COURSE DESCRIPTION Dept., NumberPHYS 220BCourse TitleElectricity and MagnetismSemester hours3Course CoordinatorRobert T. ParkURL (if any): Current Catalog Description Electric and magnetic fields, circuit theory and electromagnetic induction. (Available for General Education, Natural Sciences) Textbook Halliday D, Resnick R, & Walker J: Fundamentals of Physics Volume 2 (Chapters 21-44), 7th edition. Wiley; 2004 Accompanying Student Solutions Manual Accompanying free online homework References  Course Goals Students completing this course should be able to: demonstrate knowledge and understanding of key principles and concepts of electricity and magnetism for each of the topics listed below demonstrate ability to use mathematical analysis, including calculus, to solve problems in electricity and magnetism demonstrate understanding of selected applications of electricity and magnetism in the biological and physical sciences, engineering and everyday life Prerequisites by Topic First year calculus and mechanics (Prerequisites: PHYS 220A; MATH 150B. Recommended Corequisite or Preparatory: MATH 250.) Major Topics Covered in the Course Electric charge (1 week) Electric fields (1 week) Gauss's law (1 week) Electric potential (1 week) Capacitance (1 week) Current and resistance (1 week) Circuits (1 week) Magnetism (1 week) Sources of magnetic field (1 week) Induction and inductance (1 week) Alternating current (1 week) Maxwell's equations (1 week) Laboratory projects (specify number of weeks on each) None Estimate Curriculum Category Content (Semester hours) AreaCoreAdvancedAreaCoreAdvancedAlgorithmsData StructuresSoftware DesignProg. LanguagesComp. Arch. Oral and Written Communications Every student is required to submit at least 0 written reports (not including exams, tests, quizzes, or commented programs) of typically 0 page and to make 0 oral presentation of typically 0 minutes duration and at least 0 oral presentations of 0 minutes duration. Include only material that is graded for grammar, spelling, style, and so forth, as well as for technical content, completeness, and accuracy. Social and Ethical Issues Please list the topics that address the social and ethical implications of computing covered in all course sections. Estimate the class time spent on each topic. In what ways are the students in this course graded on their understanding of these topics (e.g., test questions, essays, oral presentations, and so forth)? Not applicable to Computer Science Program Theoretical Content Please list the types of theoretical material covered, and estimate the time devoted to such coverage. Not applicable to Computer Science Program Problem Analysis Please describe the analysis experiences common to all course sections. Not applicable to Computer Science Program Solution Design Please describe the design experiences common to all course sections. Not applicable to Computer Science Program COURSE DESCRIPTION Dept., NumberPHYS 220BLCourse TitleElectricity and Magnetism LabSemester hours1Course CoordinatorDuane R. DotyURL (if any): Current Catalog Description Three hours per week. Textbook Department of Physics Laboratory Manual. CSUN. References  Course Goals This course is designed to contribute primarily to the students: Ability to gather date and perform analysis Graphically show data and obtain best fits and perform error analysis and the propagation of Presentation of lab work in a well formatted presentation with introduction, data, analysis and conclusions Prerequisites by Topic Recommended Corequisite or Preparatory: PHYS 220B lecture. Major Topics Covered in the Course Potential field plotting and obtaining the E field DC circuits, series and parallel resistance, propagation of errors Slide wire potentionometer and the resistivity of a steel wire RC decay constant, the measurement of C in series and parallel e/m for the electron deflected in E and H fields. Measurement of B Oscilloscope and AC circuit theory Variable induction and resonance at 60 Hz. High pass, low pass and band pass circuits Electromagnetic induction Measurement of the Earths magnetic field and local anomalies Laboratory projects (specify number of weeks on each) See above Estimate Curriculum Category Content (Semester hours) AreaCoreAdvancedAreaCoreAdvancedAlgorithmsData StructuresSoftware DesignProg. LanguagesComp. Arch. Oral and Written Communications Every student is required to submit at least 0 written reports (not including exams, tests, quizzes, or commented programs) of typically 0 page and to make 0 oral presentation of typically 0 minutes duration and at least 0 oral presentations of 0 minutes duration. Include only material that is graded for grammar, spelling, style, and so forth, as well as for technical content, completeness, and accuracy. Social and Ethical Issues Please list the topics that address the social and ethical implications of computing covered in all course sections. Estimate the class time spent on each topic. In what ways are the students in this course graded on their understanding of these topics (e.g., test questions, essays, oral presentations, and so forth)? Not applicable to Computer Science Program Theoretical Content Please list the types of theoretical material covered, and estimate the time devoted to such coverage. Not applicable to Computer Science Program Problem Analysis Please describe the analysis experiences common to all course sections. Not applicable to Computer Science Program Solution Design Please describe the design experiences common to all course sections. Not applicable to Computer Science Program Pre-Major Courses in Speech, English and Philosophy COURSE DESCRIPTION Dept., NumberCOMS 151/LCourse TitleFundamentals of Public Speaking and LabSemester hours2 + 1Course CoordinatorRebecca LitkeURL (if any): Current Catalog Description Introduction to the study of the human communication process with an emphasis on effective public communication. Includes intensive practice in public speaking, reasoning, and critical listening. 15 hours of communication experience outside the class are required. (Crosslisted with CHS 151 and PAS 151) (Available for General Education, Analytical Reading/Expository Writing) (IC) Textbook OHair D, Stewart R, & Rubenstein H. A Speakers Guidebook: Text and Reference. 3rd edition. Bedford/St. Martins, 2006. References Sorrells K, Glazebrook K, & Tallungan C. Fundamentals of Public Speaking Workbook. Bedford/St. Martins, 2004. Course Goals Develop critical listening, thinking, and analytical skills. Develop the ability to convey and evaluate messages orally with clarity, accuracy, and conviction. Develop the ability to organize messages effectively. Prerequisites by Topic Completion of developmental English courses as needed (Prerequisite: EPT score of 151 or better. Corequisite: COMS 151L.) Major Topics Covered in the Course Becoming a public speaker Preparing the first speech Listening Ethical public speaking Managing speech anxiety Audience analysis Selecting a topic and purpose Developing supporting material Locating supporting material Using the Internet to support speeches Main points, supporting points and transitions Types of organizational arrangement Types of outline formats Developing the introduction Developing the conclusion Using language effectively Methods of delivery The voice in delivery The body in delivery Presentation aids Informative speaking Persuasive speaking Developing arguments Special occasion speaking Laboratory projects (specify number of weeks on each) None Estimate Curriculum Category Content (Semester hours) AreaCoreAdvancedAreaCoreAdvancedAlgorithmsData StructuresSoftware DesignProg. LanguagesComp. Arch. Oral and Written Communications Every student is required to submit at least 3 written outlines (not including exams, tests, quizzes, or commented programs) of typically 1-2 pages and to make 4 oral presentation of typically 4-6 minutes duration and at least 0 oral presentations of 0 minutes duration. Include only material that is graded for grammar, spelling, style, and so forth, as well as for technical content, completeness, and accuracy. Social and Ethical Issues Please list the topics that address the social and ethical implications of computing covered in all course sections. Estimate the class time spent on each topic. In what ways are the students in this course graded on their understanding of these topics (e.g., test questions, essays, oral presentations, and so forth)? Not applicable to Computer Science Program Theoretical Content Please list the types of theoretical material covered, and estimate the time devoted to such coverage. Not applicable to Computer Science ProgramProblem Analysis Please describe the analysis experiences common to all course sections. Not applicable to Computer Science ProgramSolution Design Please describe the design experiences common to all course sections. Not applicable to Computer Science Program COURSE DESCRIPTION Dept., NumberENGL 155Course TitleFreshman CompositionSemester hours3Course CoordinatorIrene ClarkURL (if any): Current Catalog Description Expository writing designed for freshmen and transfer students who have not taken freshman composition elsewhere. Emphasis on both content and form: to help students express ideas and convey information in writing 1) with logical reasoning and adequate factual support and 2) with clarity of purpose, organization, and language. Beyond these fundamental concerns the course encourages and assists students to develop a degree of grace and style which will make their writing not only clear and convincing, but interesting and readable. (Crosslisted with AAS 155, CHS 155, PAS 155) (Available for General Education, Analytical Reading/Expository Writing) (IC) Textbook Textbooks are reviewed by the Composition director and published on a list that is distributed to all instructors. The following is the selection available for Spring 2007. Crusius T & Channell C. The Aims of Argument. McGraw-Hill, 2006 Ramage J, Bean J & Johnson J. The Allyn & Bacon Guide to Writing, 4th edition. Pearson Longman, 2006. Axelrod RB & Cooper C. Axelrod and Coopers Concise Guide to Writing, 4th edition. Bedford St. Martins, 2006. Kennedy XJ, Kennedy D & Holladay S. The Bedford Guide for College Writers. Bedford St. Martins, 2006 Kennedy XJ, Kennedy D & Aaron J. The Bedford Reader, 9th edition. Bedford St. Martins, 2006 Lamm R & Everett J. Dynamic Argument. Houghton Mifflin, 2007. Dornan E & Dees R. Four in One. Longman, 2002. Clarke I. The Genre of Argument. Thomson Heinle, 1998 Mauk J & Metz J. Inventing Arguments. Thomson/Wadsworth, 2004 Lunsford R & Bridges W. The Longwood Guide to Writing, 2nd edition. Pearson Longman, 2002. Kirszner L & Mandell S. Patterns for College Writing: A Rhetorical Reader and Guide, 10th edition. Bedford/St.Martins, 2007. Reid S. The Prentice Hall Guide for College Writers, 7th edition. Prentice Hall, 2006. Seyler D. Read, Reason, Write, 8th edition. McGraw Hill, 2007. Fahnestock J & Secor M. A Rhetoric of Argument, 3rd edition. McGraw Hill, 2004. Durkin D & Gerrard L. Seeking Common Cause: Reading and Writing in Action, McGraw Hill, 2007. Reinking J & von der Osten R. Strategies for Successful Writing: A Rhetoric, Research Guide, Reader, and Handbook. 7th edition. Pearson Prentice Hall, 2005 Wyrick J. Steps to Writing Well. 10th edition. Thomson/Wadsworth, 2007. Fine-Clouse B. The Student Writer, Editor and Critic, 7th edition. McGraw Hill, 2006. Blakesly D & Hoogeveen J. Thomson Handbook, Thomson/Wadsworth. 2007. Ramage J, Bean J, & Johnson J. Writing Arguments, 6th edition. Pearson Longman, 2004. Odell L & Katz SM. Writing in a Visual Age. Bedford/St. Martins, 2006. Pharr D & Buscemi S. Writing Today: Contexts and Options for the Real World. McGraw-Hill, 2005. Ramage J, Bean J, & Johnson J. Writing Arguments: A Rhetoric With Readings. 7th edition. Pearson/Longman, 2007. Costanzo W. The Writers Eye. McGraw Hill, 2007. Lannon JM. The Writing Process: A Concise Rhetoric, Reader, and Handbook, Pearson/Longman, 2007. Yagelski R & Miller R. The Informed Argument, 7th edition. Thomson Wadsworth, 2007. References  Course Goals The SLOs for this course are as follows: Students will develop competence in writing an academic essaythat is, a thesis driven text that is characterized by reason, logic, and analytic thinking; Students will understand that writing in an academic context means becoming knowledgeable about the subject, indicating awareness of the ideas of others, basing claims on logic and credible evidence, and using language in such a way as to appear truthful and fair; Students will view writing as a recursive processwhich includes invention, drafting, and revision; Students will gain facility in various contexts for writing, including timed writing, and develop rhetorical strategies appropriate to audience and purpose; Students will develop critical reading strategies and apply them to both print and visual texts. In this context, students will become aware of different texts, including those that reflect multicultural images and voices; Students will develop fluency and style by practicing sentence variety, increasing vocabulary, and using the conventions of edited American English; Students will develop proficiency in research and documentation techniques; Students will understand how to use writing and reading as a means of participating in democracy and social change. Prerequisites by Topic Completion of developmental English courses as needed (Prerequisite: EPT score of 151 or better, or EPT and a grade of Credit in 097 and/or 098, if appropriate.) Major Topics Covered in the Course Academic writing, critical reading, critical thinking, research and documentation conventions Laboratory projects (specify number of weeks on each) None Estimate Curriculum Category Content (Semester hours) AreaCoreAdvancedAreaCoreAdvancedAlgorithmsData StructuresSoftware DesignProg. LanguagesComp. Arch. Oral and Written Communications Every student is required to submit at least 0 written reports (not including exams, tests, quizzes, or commented programs) of typically 0 page and to make 0 oral presentation of typically 0 minutes duration and at least 0 oral presentations of 0 minutes duration. Include only material that is graded for grammar, spelling, style, and so forth, as well as for technical content, completeness, and accuracy. Social and Ethical Issues Please list the topics that address the social and ethical implications of computing covered in all course sections. Estimate the class time spent on each topic. In what ways are the students in this course graded on their understanding of these topics (e.g., test questions, essays, oral presentations, and so forth)? Not applicable to Computer Science Program Theoretical Content Please list the types of theoretical material covered, and estimate the time devoted to such coverage. Not applicable to Computer Science Program Problem Analysis Please describe the analysis experiences common to all course sections. Not applicable to Computer Science Program Solution Design Please describe the design experiences common to all course sections. Not applicable to Computer Science Program COURSE DESCRIPTION Dept., NumberPHIL 230Course TitleIntroduction to Formal LogicSemester hours3Course CoordinatorTakashi Yagisawa and Tim BlackURL (if any):http://www.geocities.com/black_tim/philosophy_230.htm Current Catalog Description Introduction to modern deductive logic; includes propositional logic and theory of quantification. (Available for General Education, Basic Skills, Critical Thinking) Textbook Bessie J, & Glennan S, eds. Elements of Deductive Inference: An Introduction to Symbolic Logic. 1st edition. Wadsworth Publishing, 1999. References Barwise J, & Etchemendy J. Language, Proof, and Logic. Center for the Study of Language and Inf, 2002. Bergmann M, Moor J, & Nelson J.  SEQ CHAPTER \h \r 1The Logic Book. 4th edition McGraw-Hill Humanities/Social Sciences/Languages, 2003. Course Goals The  SEQ CHAPTER \h \r 1goals are to provide students with criteria and methods for distinguishing good reasoning from bad and to help students develop basic reasoning skills that they can apply both within a broad range of academic disciplines and outside the academic environment. Students are expected to acquire skill in recognizing the logical structure of statements and arguments, the ability to distinguish rational from non-rational means of persuasion, skill in applying the principles of sound reasoning in the construction and evaluation of arguments, and an appreciation of the value of critical reasoning skills in the pursuit of knowledge. Students will analyze information and ideas carefully and logically from formal logical perspectives and develop deductively reasoned solutions to problems. Prerequisites by Topic Writing; either GE Mathematics or MATH 210. Major Topics Covered in the Course Deductive validity deductive soundness logical consistency logical truth logical falsity logical indeterminacy logical equivalence truth-functional connectives syntax and semantics of the language of truth-functional logic truth tables truth-functional validity truth-functional entailment truth-functional consistency truth-functional truth truth-functional falsity truth-functional indeterminacy truth-functional equivalence universal and existential quantifiers syntax and semantics of the language of quantificational logic quantificational validity quantificational entailment quantificational consistency quantificational truth quantificational falsity quantificational indeterminacy quantificational equivalence formal proof by natural deduction in truth-functional logic formal proof by natural deduction in quantificational logic Laboratory projects (specify number of weeks on each) None Estimate Curriculum Category Content (Semester hours) AreaCoreAdvancedAreaCoreAdvancedAlgorithmsData StructuresSoftware DesignProg. LanguagesComp. Arch. Oral and Written Communications Every student is required to submit at least 0 written reports (not including exams, tests, quizzes, or commented programs) of typically 0 page and to make 0 oral presentation of typically 0 minutes duration and at least 0 oral presentations of 0 minutes duration. Include only material that is graded for grammar, spelling, style, and so forth, as well as for technical content, completeness, and accuracy. Social and Ethical Issues Please list the topics that address the social and ethical implications of computing covered in all course sections. Estimate the class time spent on each topic. In what ways are the students in this course graded on their understanding of these topics (e.g., test questions, essays, oral presentations, and so forth)? Not applicable to Computer Science Program Theoretical Content Please list the types of theoretical material covered, and estimate the time devoted to such coverage. Not applicable to Computer Science Program Problem Analysis Please describe the analysis experiences common to all course sections. Not applicable to Computer Science Program Solution Design Please describe the design experiences common to all course sections. Not applicable to Computer Science Program XXX remove template on next page when done COURSE DESCRIPTION Dept., NumberCourse TitleSemester hoursCourse CoordinatorURL (if any): Current Catalog Description  Textbook  References  Course Goals  Prerequisites by Topic  Major Topics Covered in the Course  Laboratory projects (specify number of weeks on each)  Estimate Curriculum Category Content (Semester hours) AreaCoreAdvancedAreaCoreAdvancedAlgorithmsData StructuresSoftware DesignProg. LanguagesComp. Arch. Oral and Written Communications Every student is required to submit at least _____ written reports (not including exams, tests, quizzes, or commented programs) of typically _____ pages and to make _____ oral presentations of typically _____ minutes duration. Include only material that is graded for grammar, spelling, style, and so forth, as well as for technical content, completeness, and accuracy. Social and Ethical Issues Please list the topics that address the social and ethical implications of computing covered in all course sections. Estimate the class time spent on each topic. In what ways are the students in this course graded on their understanding of these topics (e.g., test questions, essays, oral presentations, and so forth)?  Theoretical Content Please list the types of theoretical material covered, and estimate the time devoted to such coverage.  Problem Analysis Please describe the analysis experiences common to all course sections.  Solution Design Please describe the design experiences common to all course sections.  2. Course display for the visit. The course outline for each required or elective computer science course must also be included in a display of course materials that is available for study at all times during the evaluation visit. The course material display must include at least the following for each course that can be counted in the computer science segment of the curriculum being evaluated. Course name and number, number of credits, meeting times, etc. Textbook and other required material (e.g. manuals, reference booklets, standards and documents) Instructors name and contacts Syllabus/schedule (provide hardcopy and URL if only available on-line) Introductory pages that include course objectives, pedagogical approach, assessment methods (and how these relate to the program objectives if appropriate) Course policies Introductory sheet that indicates course locations or sites that show evidence of writing, presentations, ethics etc. as appropriate Assignments and projects, tests, exams and important handouts Student work (examples of graded high/medium/low quality work as well as tests/exams etc.) Any feedback mechanisms/examples to students that might be on-line Any substantive electronically posted communication, threaded discussion, or teamwork etc. Course evaluations (measures of success that include, for example, the results of student surveys and the achievements of students in current or subsequent courses) Proposed or changes as a result of formative surveys If a course is taught wholly on-line by a non-resident faculty member then data about that faculty member must be included in the Self-Study or provided in separate documents for credentialing purposes. In addition, for wholly on-line courses or a complete degree program, the results of an electronic CAC survey to that group of students regarding their experiences in the program (comparative to the usual on-site class visit) should be made available to the visiting team. If available, please provide the location of URLs on a CAC-visit Website or site containing a set of URL links that would allow an evaluator to retrieve specific data directly (if not provided in hardcopy) as indicated above. These should be available before the time of the visit. Note: In addition to the display materials, it would be very helpful to the visiting team if all assessment documentation could be available in the same location as the display materials. It is also very helpful if the display room contains computers with network connections. V. Laboratories and Computing Facilitiestc "V. Laboratories and Computing Facilities " \f C \l 1 Intent: Laboratories and computing facilities are available, accessible, and adequately supported to enable students to complete their course work and to support faculty teaching needs and scholarly activities. In Section VI you will be asked to describe the planning and acquisition processes for laboratory equipment. Please do not repeat any of that information here; simply refer to that section, if necessary, to avoid duplication. A. Computing Facilitiestc "A. Computing Facilities " \f C \l 2 1. Describe the computing facilities used by students in the program. Indicate the types of software available in each category. Specify any limitations that impact the quality of the educational experience. Institutional computing facilities: Information Technology Resources (ITR) Information Technology Resources (ITR) ITR is the division of the University responsible for Information Technology Enterprise Services. These services range from direct support of Infrastructure, Enterprise-level Applications and Security, to Campus-wide user support. These services, coupled with the College of Engineering and Computer Sciences Information Services (IS) unit; provides a strong technology base that supports the universitys Learning-Centered mission. ITR provides connectivity for data, voice, and video functionality. The network infrastructure is protected by various network layer devices including: firewalls, intrusion detection systems, and traffic shaping. The network is partitioned into virtual local area network (VLAN) to address both performance and security. The data and voice network provides wired connections with 100MB bandwidth to all desktop computers using a switched environment. A wireless network is also available, based on an 802.11b/g WiFi standard. In addition, ITR provides two mechanisms for remote access, via a modem pool and virtual private network (VPN); which provide students with 24x7 access to campus IT resources from anywhere on the Internet. The College IS group provides desktop computer support for all students, faculty, and staff associated with the College. These desktop computers utilize the campuss identity management system, (a single sign-on environment) provided by ITR, to facilitate secure access. Student may access other IT resources, such as their U-Drive (a personal storage space) from a number of College-based labs, labs within the Library, or via the wireless network using a personal laptop computer. ITR also offers repair services for College computers, printers, and media equipment, on a contract basis. ITR hosts chat (IRC), email, file service, hypernews, and web services for all students, faculty, and staff. Additionally, ITR maintains servers for general computation needs. The College IS group augments these services to provide additional college-based servers to provide application-support for applications specific to the college, e.g., Computer Aided Design and Manufacturing (CAD/CAM) application. ITR also provides the infrastructure support for the Office of Online instruction, which provides WebCT, the Campuss Learning Management System (LMS). The Campus Web Portal and Student On-Line Administrative Resources (SOLAR) are provided by ITR. These systems provide a one-stop location for students to perform a variety of web-based functions. These functions include registration, degree progress reporting, accessing class roosters and grades, and tuition and fee payment. Additional content and services are being added to the Web Portal over time to provide deeper resources, and a targeted communication capacity to individual students or groups. Helpdesk facilities are provided by both ITR and the IS group. The ITR helpdesk provides a single point of contact for enterprise services. ITR has recently created a walk-in helpdesk to provide students, faculty, and staff with direct hands-on support related to their IT issues, such as laptop configuration and management, and wireless configuration. Additional support is provided by the IS group to address the specific needs of Engineering and Computer Science students and faculty. Library Open Labs The Oviatt Library provides access to approximately 400 workstations in support of research and learning at California State University, Northridge. There is The Collaboratory: a 170-seat general purpose student lab; access is restricted to current CSUN students, faculty & staff. The Library also manages a 40-station student lab in Sierra Hall 392. The Reference Room has approximately 100 Internet stations. Priority is given to students, faculty & staff. The Library Instruction Labs A, B, C: located on the main floor, these computers are available whenever a class is not being held. Laptops & Wireless Access in Library. There is wireless access to the campus network, and the Internet, is available throughout the library. Twenty wireless-enabled laptops are available for 2-hour in-Library checkout from the Collaboratory. Twenty wireless cards are also available for 2-hour in-Library checkout from the Collaboratory for users with their own laptop. There are 10 wired ethernet ports available for laptop users in the Periodicals & Microform room (fourth floor, east). Program computing facilities: Computer Science Laboratory Facilities The Computer Science Department maintains eight production laboratories for use by students taking computer science classes. These eight instructional laboratories are: PC Computer Literacy Labs for use by COMP 100 (JD 1105, JD1107 & JH 2204) Linux Workstation Lab (JD 2210) Windows XP Labs (JD 2211, JD 1600) Macintosh Lab (JD 2215) Open Lab (JD 2214 Linux, Windows XP, Mac OS X, Sun Solaris) The software available in these laboratories includes, but is not limited to: C, C++, Java, Smalltalk, Scheme, Fortran, Prolog, Simula, Pascal, Ada, database systems, software development environments, computer simulators, multimedia applications, and standard office applications. Each of the labs has approximately 2530 workstations. The department has established several special purpose laboratories for upper division or senior classes, senior projects, master's projects and faculty research. These special labs are described below: Networking Interoperability Laboratory located in JD 1602; equipped through generous donations from Enterasys and e-Systems, plus assistance from Cisco Systems and campus ITR. The lab is utilized by networking and system security courses plus a variety of special and graduate level projects. Because of the nature of the work in the lab, the room is isolated from the campus network. Software Engineering Laboratory located in JD 1622C; this lab is configured for software engineering team projects. There are 5 partitioned cubicles each with a large table and 5 or 6 chairs, two computer workstations, and a white board. The computers are connected to the campus network. There is a ceiling mounted data projector with screen for student and faculty presentations and an instructors workstation. E-commerce Laboratory located in JD 1538; the e-commerce/e-business Technology lab contains a network of 24 high-end servers. Students use these servers to gain hands-on experience at installation and management of web servers, data base servers and various components of the operating system. These servers are also used for developing client side and server side web applications. The lab is protected by a local firewall to prevent intrusion from off campus and can be isolated from the campus network. Graphics and Multimedia Computing Laboratory located in JD 1618; this lab is equipped with 20 multimedia computers (10 XP and 10 Mac OS X) and peripherals along with software tools for graphic and authoring multimedia applications and interfaces. Development of the lab will be ongoing to keep pace with technological advances and changing industry standards. Virtual Reality Lab located in JD 2212; this lab supports special projects using interactive networked computer graphics technology. It supports COMP 565 Advanced Computer Graphics students, MS graduate projects, and undergraduate projects. The lab supports development of projects in areas such as: interactive multi-user 3D computer games,3D simulation / animation, and multi-user immersive and non-immersive virtual environments. The lab is equipped with several tracking devices (for head and hand), glove gesture devices, stereo LCD shutter glasses, and head mounted displays. Software development tools include current versions of: Visual Studio Pro, Microsoft DirectX SDK, Java SDK, Java 3D API, openGL libraries, open source computer game engines, 3D modeling programs, and Mathematica. Four high performance Intel based computers running Microsoft Windows XP Pro with accelerated graphics capabilities are used. Students have the ability to install software and configure systems in this lab. The computers are on the college's research oriented "chaos" subnet and have access to the WWW. More information is available at: http://www.csun.edu/~renzo/vr.htm. Artificial Intelligence Lab located in JD 1600BA; the AI Lab currently has 8 PC's with SWI PROLOG and an expert system shell called NATIVE. Soon there will be an additional 3 Mac's, and an operational SYMBOLICS machine. The product called MIND BOX (an expert system shell) is also available. Embedded Applications Lab located in JD 1600B; the embedded applications lab provides an environment for students to experiment with a variety of microcontroller platforms, sensors and hardware. Equipment includes Hitachi H8 based Lego Mindstorm platforms, MIT Handyboard (Motorola 68HC11) units and Rabbit Semiconductor systems with a real-time OS. Students develop solutions to unique and common everyday applications of such equipment.  Other computing facilities: Through the cooperation of the College engineering departments, CAD development and computer controlling milling machines are available for special computer science projects that require access to such equipment. 2. Describe the computing facilities planning, acquisition, and maintenance processes and their adequacy. Include discussion of these topics for university-wide computing facilities available to all students (if used by your majors), your own laboratories and equipment (if applicable), and facilities controlled by other departments and/or schools (if used by your majors). This discussion will focus on the Department controlled facilities and the College servers since these are the primary facilities utilized by computer science students. The University facilities are primarily designed for document preparation, Web-based research and e-mail access. Planning Process: A major goal of the computer science program is to expose computer science students to a variety of operating systems, user interfaces and programming languages. The types of computing experiences the students should receive in the various laboratories associated with the courses determines the planning of both the production laboratories and the special project facilities. The Department decided that students should start out in the entry level courses (COMP 110/L and 122/L) on Windows-based PCs largely because that is the most likely operation system they will already had experience with. The large number of students enrolled in these entry level courses drives the need for an increased number of Windows-based labs over other OS based facilities. The laboratory experience in COMP 182/L has traditionally shifted to the Macintosh or Linux/Unix environment. COMP 322/L utilizes the UNIX operating system to study operating system concepts. These students use the UNIX workstations contained in the Mac OS X / UNIX lab. The special needs of COMP 380/L (Software Engineering) and various elective courses are met by either the creation of special project facilities or the installation of additional software in the Departments production lab facilities. The department, as a whole, reviews equipment and software needs for its laboratories every year. The needs are prioritized and depending on the funding available, equipment and software is purchased. Acquisition: For the production laboratories, funds are provided via the College budgetary process to perform annual upgrades, as needed, of the computing equipment and total replacement of the equipment approximately each three to four years. A mix of College and Department funds with grants from the University and industry are utilized to refresh the equipment in the special project laboratories on an as needed basis. Recently the original engineering building was renovated, resulting in the expenditure of million dollars in state funds for new equipment that was installed during 2004-2006. Maintenance: The production laboratories are installed and maintained by the Colleges Information Services group of technicians. Some of the special project laboratories are maintained with the assistance of the students and faculty who utilize them; primary facilities are entirely maintained by the Information Services group.  Discuss how you assess the adequacy of your laboratory and computing support. Adequacy of the laboratories is determined from student, instructor and technician feedback. Laboratory computers are generally replaced every three or four years. Software upgrades are done on a continuing basis. Please attach any equipment replacement plans to this report. The University office of Academic Affairs approved during 2006-2007 a special funding request for the replacement of the 100 Windows-based computers located in the three Computer Science Computer Literacy labs located in JD 1105, JD 1107 and JH 2204. Standard V-1. Each student must have adequate and reasonable access to the systems needed for each course. Student Accesstc "B. Student Access " \f C \l 2 State the hours the various facilities are open. State whether students have access from dormitories or off campus by direct access, modem, etc., and describe this access quantitatively. The Departments primary computing labs are open from 8:00 am 9:30 pm Monday to Thursday and from 8:00 am 3:00 pm on Friday. These labs are also open for five or six hours on each Saturday. Students have open access to these labs whenever there are no classes being taught in the labs. Open access times are posted on the doors of the labs. Open access times account for about 50% of the time each lab is open. JD 2214 is special in that no classes are ever schedule in that room and it contains a mix of the types of equipment located in the other primary labs. Entrance to the special project labs is controlled by Omnilocks installed on the doors. Students who have a need to work in those labs are issued an Omnilock code that is validated for the rooms they need access to. With these codes the students can access the labs whenever the buildings are open. By the time a computer science major is taking upper division computer science courses they will have been issued an Omnilock code that will be uniquely theirs for the rest of their stay at CSUN. Students also have dialup access, wireless network access and Internet access to the campus, College and Department computing facilities. The campus offers virtual private networking (VPN) services. VPN allows a person at home to have all the same access privileges they would have if on campus. Students in the residency halls have high speed Internet access. Standard V-2. Documentation for hardware and software must be readily accessible to faculty and students. Documentationtc "C. Documentation " \f C \l 2 Describe documentation for hardware and software systems available to students and faculty in the computer science program. Explain how students and faculty have adequate and timely access to the documentation. Software documentation is available either as local Web pages, on-line Web pages, local pdf files or application integrated files. We attempt to always install any electronic documentation that may come with a specific application. Some hardcopy manuals are available in appropriate labs. The Universitys Information Technology Resources provides extensive web-based help documentation for commonly asked hardware, software and network issues. Standard V-3. All faculty members must have access to adequate computing facilities for class preparation and for scholarly activities. Faculty Accesstc "D. Faculty Access " \f C \l 2 Describe the computing facilities available to faculty for class preparation and for scholarly activities. Include specifics regarding resources in faculty offices. Upon being hired as a full time instructor and each three years thereafter, an instructor will receive $3,500.00 to purchase a new office computer/laptop, peripherals and software. During each of the two years in between office computer refreshes, each full time instructor receives approximately $300 to spend on miscellaneous office improvements which may include computer peripherals and software. Some software such as OS upgrades, MS Office and standard utilities like Adobe Acrobat and Norton Antivirus are purchased centrally and instructors need only to ask for an install at no expense to them. Also, such initiatives as the purchase of 802.11b wireless access cards for existing laptops was handled centrally by the Department at no cost to the faculty.  Standard V-4. There must be adequate support personnel to install and maintain the laboratories and computing facilities. E. Support Personneltc "E. Support Personnel " \f C \l 2 1. What support personnel are available to install, maintain, and manage departmental hardware, software, and networks? The College of Engineering and Computer Science maintains a Information Services group consisting of 6 ?? full-time people who maintain the College-wide servers, support the building network and provide computer hardware/software support for laboratories and faculty/staff offices. 2. Describe any limitations due to this level of support? With over 1000 systems to maintain in the College, the Information Services group is some times stretched a bit thin in their ability to resolve problems in labs and offices in a timely manner. This is particularly true during crunch times such as the start of the semester and during lab finals. We manage to survive by workarounds but additional trained staff would help ease the problem. 3. Are any faculty members expected to provide hardware, network, or software support? If so, describe this expectation including how such expectations are addressed in evaluation, tenure, promotion, and merit pay decisions, and indicate what, if any, released time is awarded for this effort. No faculty members are required to provide hardware, network or software support. Occasionally, faculty in specialty labs will provide some support in their own facilities and some faculty prefer to hold greater administrative control over their office computers. Standard V-5. Instructional assistance must be provided for the laboratories and computing facilities. F. Instructional Assistancetc "F. Instructional Assistance " \f C \l 2 Describe the nature and extent of instructional assistance available to students in the laboratories. All course labs are taught by an instructor who is in the lab to answer questions and help the students. During selected open access lab times there are student lab tutors available to provide laboratory assistance to students. The tutoring schedule is posted in the department office, on the lab doors and on the web. During the Fall 2006 semester, computer science lab tutors were available for approximately 30 hours per week in JD2214. The laboratory tutoring schedule for Fall 2006 was: M 1000- 1230; 1500-1800 T 0930-1030; 1500-1800 W 1000-1230; 1500-1800 TH 0900-1030; 1500-1800 F 1100-1500 SA 1100-1700 VI. Institutional Support and Financial Resourcestc "VI. Institutional Support and Financial Resources " \f C \l 1 Intent: The institutions support for the program and the financial resources available to the program are sufficient to provide an environment in which the program can achieve its objectives. Support and resources are sufficient to provide assurance that an accredited program will retain its strength throughout the period of accreditation. Standard VI-1. Support for faculty must be sufficient to enable the program to attract and retain high-quality faculty capable of supporting the programs objectives. Standard VI-2. There must be sufficient support and financial resources to allow all faculty members to attend national technical meetings with sufficient frequency to maintain competence as teachers and scholars. Standard VI-3. There must be support and recognition of scholarly activities. A. Faculty Stability tc "A. Faculty Stability " \f C \l 2 1. Evidence of the long-term stability of a program is provided by its ability to both attract and retain high quality faculty. Describe how your program does this. Some topics the description might address are sabbatical and other leave programs, salaries, benefits, teaching loads, support for and recognition of scholarly activity (including financial support for attendance at professional meetings), departmental and institutional ambiance, etc. Computer Science faculty are hired at salaries that are competitive with other California State University campuses and that are competitive with other comparable Masters degree granting institutions. Faculty benefits include an excellent healthcare benefit and excellent retirement plan. Faculty are eligible for a sabbatical every seventh year. Sabbaticals are competitive but faculty can usually get a sabbatical close to every seven years. Difference-in-pay leaves are available every four years. The normal faculty teaching load is four courses (12 weighted teaching units) per semester. The twelve units may be distributed amongst lectures, labs and graduate student supervision. Probationary faculty are given 36 units reassigned time per year to work on scholarly activities. Scholarly activities are recognized primarily through the retention and promotion process. Publication and scholarly activity is expected for retention and promotion. The University also provides grants for scholarly activities to faculty on a competitive basis. The grants are generally for $5000 or 3 units reassign time. New faculty are given special consideration for these awards. The College and Department cover conference registration and travel expenses for faculty presenting papers at professional conferences. To the extent funds are available, the College and Department also pays for attendance at other professional events. The University Research and Grants Office helps faculty apply for grants to outside agencies. The Computer Science program has been very stable with respect to faculty retention for over thirty years. Most faculty do not leave the campus until retirement. 2. Give counts of the total number of faculty and the number of resignations, retirements, and new hires for each of the last five years. Indicate whether there are significant problems attracting and retaining faculty, and if so, the causes. YearTotal Faculty (full-time)ResignationsRetirementsNew HiresOther Additions2001-200217.500202002-200319.500112003-200420.500102004-200520.501102005-20061910.5002006-2007190000 Note: All resignation, retirement, new hire and other additions are counted effective the Fall term of the year indicated. The 0.5 faculty member was participating in our Faculty Early Retirement Program and so taught only one semester per year until he retired. Other additions include an administrator who exercised his retreat rights to join the Computer Science Department. We have been fortunate to hire excellent new faculty; we did not have significant problems attracting and retaining new faculty. The high cost of housing in and around the campus may make it difficult to attract as many applicants as in the past. For the past three years, one full-time member of the faculty (counted here) has been on extended personal leave without pay. Faculty Professional Activities tc "B. Faculty Professional Activities " \f C \l 2Summarize the professional activities of your faculty, attendance at meetings, university and professional honors won by individuals, etc. Just summarize here; details should appear in individual faculty vitas. Faculty are engaged in a mixture of professional activities, most focusing on the improvement of academic instruction and related research in their academic specialty. Faculty regularly attend and present papers at conferences and participate in professional development workshops. Several faculty are significantly involved in department and campus wide assessment projects, in curriculum and laboratory development and in faculty governance. The following is a partial list of the many professional activities, in addition to teaching, the Department full-time faculty have participated in over the past five years: Alanen Attended the annual COCOMO Conference at the USC Software Engineering Institute and various workshops on WebCT, BlackBoard and teaching techniques. Barkataki Attended nine professional development workshops and presented two papers at software engineering/web technology conferences; coordinates E-commerce lab. Barnes Attended conferences and presented two conference papers; coordinates the Virtual Reality Lab. Covington Attended conferences and presented three conference papers at ASEE and IEEE FIE. Gabrovsky Attended an international conference; coordinates the AI lab. Lingard Attended ASEE/IEEE FIE conferences; resented five conference papers; is the department assessment coordinator. Lorentz Presented five papers at Game (Amazon and Go) conferences; graduate coordinator. McIlhenny Presented five papers at Computer Design conferences. Melara Attended SIGCSE conferences; presented two conference papers; coordinates the Multimedia Laboratory. Noga Attended four conferences; published ten papers in conference proceedings and in journals. Pham Received two software patents; presented two conference papers. Schwartz Attended SIGCSE conferences; actively involved in campus assessment and curriculum development. Stepanek Department chair; attended SIGCSE and other conferences and active participant on state-wide curriculum committees/task forces. Timmerman Attended conferences; presented three conference papers; received an Instruction Development Project Award grant. Trybus Presentation on data mining at an international conference. Wang Attended eleven professional development workshops; presented 17 conference/workshop papers; received Metronic MiniMed grant to create testing software. Wiegley Attended professional conferences; presented a conference paper at SIGCSE; obtained two campus grants for research and scholarship; coordinates Networking Lab and Embedded Applications Lab. Zartoshty Coordinates the freshman orientation course. Standard VI-4. There must be office support consistent with the type of program, level of scholarly activity, and needs of the faculty members. Office Support Describe the level and adequacy of office supporttc "C. Office Support " \f C \l 2. The description should address secretarial support, office equipment, and the total group supported by this equipment and staff. The Departmental office is staffed by two full-time secretaries and the equivalent of another full-time position in student assistant support. The Office is open Monday through Friday from 8 am to 5 pm and is equipped with three desktop computers for use by the staff, a low volume photocopier, fax, networked black and white laser printer and networked color laser printer. The networked color printer is accessible by all Department faculty. Two high volume photocopiers are located in the adjacent campus mail room. The Office staff are responsible for building the schedule of classes, ordering text books, maintaining the Departments finances, handling student enquiries, maintaining personnel records, coordinating student evaluations of the faculty, ordering equipment and supplies, handling faculty travel requests, and other duties as determined by the Department Chair. Standard VI-5. Adequate time must be assigned for the administration of the program. Time for Administration tc "D. Time for Administration " \f C \l 2Describe the adequacy of the time assigned for the administration of the program. The Computer Science program is administered by a 12 month. 0.75 reassigned time chair. The chair is elected by the faculty every three years. Several other faculty are given 3-6 units of reassign time per year to assist the chair in advisement, assessment activities and preparation of the ABET report. There is adequate time assigned for the administration of the program. Standard VI-6. Upper levels of administration must provide the program with the resources and atmosphere to function effectively with the rest of the institution. Adequacy of Resources tc "E. Adequacy of Resources " \f C \l 2Describe the adequacy of the resources and the atmosphere provided by the upper administration for the program to function effectively with the rest of the institution. Computer science is fairing adequately in the area of resource allocation given the constraints and vagaries of the state budgets. The upper levels of University administration, as well as the College administration, have been very supportive of the needs the computer science program. During the years 200 XXX-2003 when the program experienced rapid enrollment growth, the upper levels of the University gave the program XXX new faculty positions. A main building used by engineering and computer science programs was renovated in 2003-2004. As part of the renovation planning, the computer science program received $XXX in Group II renovation money. This money was used in 2004-2005 and 2005-2006 to replace and upgrade much of the equipment in the computer science laboratories. This year (2006-2007) the computer science program received $129,000 from the Provosts Office to replace of all the computers in the three laboratories utilized by the computer literacy courses (COMP 100). Leadership Positive and constructive leadership tc "F. Leadership " \f C \l 2at the college/school level and within the program's department are especially important to the program's quality. Evaluate this leadership and the interaction between these levels of administration. The Computer Science Department reelected the current Chair for a third three-year term of office. Just prior to the re-election process, there was a review of the Chairs performance and the feedback was positive. At the College level, there have been two deans during the past five years. The second dean assumed his leadership position in the College of Engineering and Computer Science in August 2006. The department has maintained very good relationships with both the previous and current dean. The department is treated equitably with respect to the other departments in the College. Standard VI-7. Resources must be provided to acquire and maintain laboratory facilities that meet the needs of the program. Laboratory and Computing Resourcestc "G. Laboratory and Computing Resources " \f C \l 2 Briefly describe the resources available for the program to acquire and maintain laboratory facilities. Include information on how the institution determines the adequacy of these resources. Computer science program laboratory facilities are generally acquired and maintained in one of four ways: (1) an annual equipment budget allocation from CSU funds and the statewide lottery funds; (2) special equipment funds allocated by the Provost; (3) major building renovations which bring with them funds to refurbish laboratories and replace and upgrade laboratory equipment; and (4) donations and grants from outside the University. Space for new laboratories is very limited; however the computer science program has lost significant enrollment in the past few years so the need for new laboratory space is not great at this time. The major issue will be to hold onto the lab space we all ready have. The institution relies on the department chair, department faculty and the college information technology staff to determine the adequacy of our laboratory facilities. Requests for special allocations to create and maintain labs are considered periodically by the upper level Administration. Computer Science has been quite successful in obtaining these additional resources. Standard VI-8. Resources must be provided to support library and related information retrieval facilities that meet the needs of the program. Library Resourcestc "H. Library Resources " \f C \l 2 Briefly describe the resources available for the support of the library and related information retrieval facilities. Include information on how the institution determines the adequacy of these resources. This information was supplied by the library. It is repeated in Section VII. University Library The California State University, Northridge's Oviatt Library provides educational, cultural and information services and resources to the students and faculty. Its primary mission is to support and supplement classroom and independent learning; facilitate student and faculty research; and provide students with lifelong skills in identifying, locating, evaluating and synchronizing information. Physical facility: All library materials are housed in the Delmar T. Oviatt Library, a 234,712 square foot state-of-the-art facility. Of note are the Collaboratory with its 170 multipurpose computer workstations, 3 computer equipped library instruction labs, and 120 computers workstations devoted to library information resources. There are over 1600 seats for in house study. During Fall and Spring semesters, the building is open 90 hours a week. The Library maintains its own server and web pages providing access to electronic information 24 hours a day. Information resources: The Oviatt Library has a physical collection containing 1.3 million volumes, of which over one million are books, and over 240,000 bound periodical volumes. The Library subscribes to 20,000 online journals, 2100 print journals, 200 online databases and 11,000 e-books. The microform collection contains 3.1 million pieces. There are over 10,000 sound recordings, 9200 film and video recordings and nearly 60,000 pictures and other graphic materials. The archives and manuscript collection exceeds 7000 linear feet of materials. Librarians: There are 29 library faculty. Two of these are experienced science and engineering librarians. Two librarians are responsible for liaison with the College of Engineering and Computer Science faculty and students. These librarians select books and other materials, provide information literacy instruction in the classroom setting, and consult with individual faculty and students as necessary. The Library Reference Desk is staffed 80 hours a week during regular open hours. Electronic Reference is provided via email. Virtual reference is also provided 24 hours a day through a cooperative of libraries. The Library is heavily used with 8.2 million uses of its web resources annually, a gate count of 1.3 million annually and over half a million interactions per year with Library personnel. Standard VI-9. There must be evidence that the institutional support and financial resources will remain in place throughout the period of accreditation. Continuity of Institutional Support Discuss and show evidence of continuity of institutional supporttc "I. Continuity of Institutional Support " \f C \l 2 for the program in the past, and problems that have existed or are anticipated in this area, if any. The institutional support for the computer science program has been and is expected to remain strong. The University has supported the program since 1975 with faculty positions, laboratory and office space, annual operations and equipment budgets and special budget allocations. Allocations for faculty positions, laboratory and office space and annual operations and equipment budget are allocated primarily on the basis of enrollments (full-time equivalent students). Appendix <> shows that the funding has been stable over the past six years. The number of majors in computer science has decreased significantly in the last three years, however the full-time equivalent student enrollments in the department has remained relatively high due to the general education and service courses offered by the department. VII. Institutional Facilitiestc "VII. Institutional Facilities " \f C \l 1 Intent: Institutional facilities, including the library, other electronic information retrieval systems, computer networks, classrooms, and offices, are adequate to support the objectives of the program. tc "A. Library " \f C \l 2 Standard VII-1. The library that serves the computer science program must be adequately staffed with professional librarians and support personnel. A. Library 1. Library Staffing. Assess the staffing of the library (or libraries) that serves the computer science program. Is the number of professional librarians and support personnel adequate to support the program? Supply documentation if possible. Librarians: There are 29 library faculty. Two of these are experienced science and engineering librarians. Two librarians are responsible for liaison with the College of Engineering and Computer Science faculty and students. These librarians select books and other materials, provide information literacy instruction in the classroom setting, and consult with individual faculty and students as necessary. The Library Reference Desk is staffed 80 hours a week during regular open hours. Electronic Reference is provided via email. Virtual reference is also provided 24 hours a day through a cooperative of libraries. The Library is heavily used with 8.2 million uses of its web resources annually, a gate count of 1.3 million annually and over half a million interactions per year with Library personnel. The number of professional librarians and support personnel is very adequate to support the program.  Standard VII-2. The librarys technical collection must include up-to-date textbooks, reference works, and publications of professional and research organizations such as the ACM and the IEEE Computer Society. 2. Library Technical Collection Assess the adequacy of the librarys technical collection and of the budget for subscriptions, as well as new acquisitions. The library must contain up-to-date textbooks, reference works and publications of professional and research organizations, such as the ACM and the IEEE Computer Society. It should also contain representative trade journals. Supply documentation, if possible. Assess the process by which faculty may request the library to order books or subscriptions. Physical facility: All library materials are housed in the Delmar T. Oviatt Library, a 234,712 square foot state-of-the-art facility. Of note are the Collaboratory with its 170 multipurpose computer workstations, 3 computer equipped library instruction labs, and 120 computers workstations devoted to library information resources. There are over 1600 seats for in house study. During Fall and Spring semesters, the building is open 90 hours a week. The Library maintains its own server and web pages providing access to electronic information 24 hours a day. Information resources: The Oviatt Library has a physical collection containing 1.3 million volumes, of which over one million are books, and over 240,000 bound periodical volumes. The Library subscribes to 20,000 online journals, 2100 print journals, 200 online databases and 11,000 ebooks. The microform collection contains 3.1 million pieces. There are over 10,000 sound recordings, 9200 film and video recordings and nearly 60,000 pictures and other graphic materials. The archives and manuscript collection exceeds 7000 linear feet of materials. The Library subscribes to the ACM Digital Library and IEEE Xplore. This give students and faculty electronic access to most all of the journal publications of ACM and IEEE. The Library website (  HYPERLINK "http://www.csun.edu/library" www.csun.edu/library) demonstrates the extent of their collection. Faculty members make requests for library book or journal purchases through librarian(s) who are the liaisons with the College of Engineering and Computer Science. Starting in 2005, the Computer Science Department partnered with the Library by providing supplemental funds annually for the ACM Digital Library subscription to be upgraded to full access. Standard VII-3. Systems for locating and obtaining electronic information must be available. 3. Library Electronic Access Assess the librarys systems for locating and obtaining electronic information. Access to the librarys system for locating and obtaining electronic information is through the librarys web site (  HYPERLINK "http://www.csun.edu/library" www.csun.edu/library). Faculty and students can easily download electronic materials from over 20,000 online journals and 200 online databases. The system is very user friendly, even allowing access to these online materials from home with proper authentication or from anywhere on campus. Standard VII-4. Classrooms must be adequately equipped for the courses taught. Classroom Equipmenttc "B. Classroom Equipment " \f C \l 2 Describe the equipment typically available in classrooms where you teach your courses. Assess its adequacy for the purpose. All of the lecture rooms and laboratories used by computer science have either a ceiling mounted video/data projector or easy access to a cart with a video/data projector. Faculty can connect their laptops to the projector or take in a cart with a computer. The campus wireless network is available throughout the campus. Some of the rooms have a ceiling mounted television set that is connected to the campus cable video network and DVD/CD system. During the past two years the campus has constructed about 148 smart classrooms campus wide. These classrooms are equipped with ceiling mounted video/data projectors, local DVD/CD units and a sound amplifier. Standard VII-5. Faculty offices must be adequate to enable faculty members to meet their responsibilities to students and for their professional needs. Faculty Officestc "C. Faculty Offices " \f C \l 2 Discuss and assess the adequacy of faculty offices. Each full-time instructor in computer science is assigned a single person office (110 sq. ft. standard set by the CSU system). All tenure-track faculty occupy a windowed office. All offices are equipped with standard office furniture, book shelves, a computer (and possibly a printer) and a telephone. The computers are replaced every three years. There is an internet connection in every office. Faculty offices are small but adequate. Part-time instructors usually share offices but the Department attempts to limit the number of individuals assigned to any one office to no more than five and attempts to make office assignments that minimize the number of instructors in any one part-time office at a given time. When possible, offices that are larger than the 110 sq ft standard are utilized for shared part-time instructor assignments.  Appendix I. Information Relative to the Entire Institution tc "Appendix I. Information Relative to the Entire Institution " \f C \l 1 A. General Information InstitutionCalifornia State University, NorthridgeDepartmentComputer Science DepartmentStreet18111 Nordhoff StreetCityNorthridgeStateCaliforniaZip91330-8281URLwww.csun.edutc "A. General Information " \f C \l 2 Name and Title of Chief Executive Officer of Campus (President, Chancellor, etc.) Dr. Jolene KoesterPresident(Name)(Title) B. Type of Controltc "B. Type of Control " \f C \l 2 Private, non-profitPrivate, otherFederalStateXMunicipalOther (specify)Affiliation, if private Check more than one, if necessary. If the above classifications do not properly apply to the institution, please describe its type of control. California State University, Northridge is part of the California State University system (CSU) of public higher education in the State of California. A Board of Trustees governs the CSU. The Board consists of five ex officio members and thirteen members appointed by the Governor with approval of the state senate. The chief executive officer of the CSU is Chancellor Charles Reed. C. Regional or Institutional Accreditationtc "C. Regional or Institutional Accreditation " \f C \l 2 Name the organizations by which the institution is now accredited, give dates of most recent accreditation. Attach a copy of the most recent accreditation action by any organization accrediting the institution or any of its computer-related programs. The Western Association of Schools and Colleges (WASC) accredits California State University, Northridge. For the most recent accreditation (1999-2000 academic year) the University prepared a thematic accreditation document that discussed the themes of strategic planning, technology, and student achievement. The campus received full accreditation by WASC. D. Enrollmenttc "D. Enrollment " \f C \l 2 Total enrollment for the entire institution (FTE)26,072Total faculty for the entire institution (FTE)1096.7 E. Funding Processtc "E. Funding Process " \f C \l 2 Describe the process for allocating institutional funds to the computer science program. The Office of the Director of Resources for Academic Affairs, under the direction of the Provost, determines allocations to the Colleges. Allocations within the College of Engineering and Computer Science are made in various budget categories using specific formulae incorporating factors such as departmental FTES and FTEF. Equipment requests are submitted by each department chair to the Deans Office, where they are reviewed; allocations are then made to each department based upon analysis of their long-range and short-range equipment plans with consideration given to program FTES. Additional funds retained by the Deans Office are expended throughout the fiscal year based on evaluation of individual requests for additional funds submitted by the department chairs. Promotion and Faculty Tenuretc "F. Promotion and Faculty Tenure " \f C \l 2 Summarize the promotion and tenure system and the system for merit salary adjustments. (Give an overview of actual practice; do not reproduce an entire section from the faculty handbook.) Faculty Salaries, Benefits, and Other Policies All faculty members in the 23-campus California State University system are represented by a bargaining agent, the California Faculty Association (CFA). Decisions on salaries and benefits are made by collective bargaining. Individual campuses may have different procedures so long as they are consistent with the bargaining agreement. Historically, the salary scale contains various steps with a set salary for each step. Currently, these salary steps are retained in the bargaining agreement for historical reasons. However, salaries may be at any level in a range. Department chairs are paid as twelve-month faculty members; the salary range boundaries for such faculty appointments are 15% above those of the regular faculty. Merit salary adjustments are made in accordance with the bargaining agreement. There has not been a merit salary adjustment component for several years. Promotion, retention, and tenure policies are done in accordance with the bargaining agreement between the CSU and the faculty union. Probationary faculty generally serve six years before becoming eligible for tenure and promotion. As implemented on this campus, four independent recommendations for tenure or promotion are provided: a departmental personnel committee, the department chair, the college personnel committee, and the dean. The President, in consultation with the Provost, makes final decisions on promotion, retention, and tenure. These decisions are based primarily on the teaching ability of the faculty member. However, all faculty members are required to show research and professional activities that maintain their currency in their disciplines as well as service to the university and the community. Appendix II. General Information on the Unit Responsible for the Computer Science Programtc "Appendix II. General Information on the Unit Responsible for the Computer Science Program" \f C \l 1 If you are having more than one program evaluated, particularly if the programs are on separate campuses, the answers to these questions may vary from one program to another. If this is the case, please use separate copies of this section for each program, and clearly delineate which program is being described. A. Computer Science Program Unittc "A. Computer Science Program Unit " \f C \l 2 NameComputer Science DepartmentURLwww.csun.edu/compsci If the computer science program unit is not a department reporting to an administrative officer (e.g., Dean of College of Arts and Sciences) who in turn reports to president, provost, or equivalent executive officer, describe the unit. The Computer Science Department reports to the Dean of the College of Engineering and Computer Science. B. Administrative Head tc "B. Administrative Head " \f C \l 2 of Computer Science Program Unit Steven StepanekChair(Name)(Title) C. Organization Charttc "C. Organization Chart " \f C \l 2 Attach an organization chart showing how the unit fits into the administrative structure of the institution. Campus Organization Chart  College Organization Chart      D. Computer-Related Undergraduate Degree Programstc "E. Computer-Related Undergraduate Degree Programs " \f C \l 2 List all undergraduate computer-related degree programs offered by the institution, beginning with the program(s) being evaluated. Program TitleYears RequiredDegree AwardedAdministrative UnitIf accredited, by whomComputer Science4Bachelor of ScienceDept of Computer Science ABET CACComputer Engineering4Bachelor of ScienceDept of Electrical and Computer EngineeringApplying for ABET EAC accreditation in 2007Information Systems with Options in Information Technology and Business Systems4Bachelor of ScienceDept of Accounting and Information Systems in the College of Business and EconomicsAACSB Are these programs adequately differentiated in all university information? Explain how. Yes. These are three separate majors, each with its own identity and each appearing in very separate areas of the University Catalog. Each program is administered by a different department. The curriculum content of the non-computer science programs is closely reviewed by the Computer Science Department. During advisement periods faculty and advisors in the College of Engineering and Computer Science explain the differences between the programs to new students. The Computer Science Department provides a flyer with a description of the differences between the programs. Appendix III. Financestc "Appendix III. Finances " \f C \l 1 A. Finances Related to the Computer Science Program(s)tc "A. Finances Related to the Computer Science Program(s) " \f C \l 2 For the computer science program, indicate below the funds expended during the fiscal year immediately preceding the visit 1. Institutional Funds Non-recurring or Outside FundsAdministrative Salaries 116,248Faculty Salaries1,716,433Non-teaching Professionals' Salaries2Support Personnel Salaries & Wages Secretarial 82,160 Technician Other (specify) 32,779Graduate StudentsOperating Expenditures (Excluding research operations and travel) 53,727Capital Equipment Expenditure: (Including value of allocated time for teaching and research): 23,880  Teaching ResearchComputer Expenditures: (total, including value of allocated computer time for teaching and research) Hardware  55,994 Software  Allocated timeTravel Expenditures (non-research funds) 7,436Scholarship Awards (if administered by the Computer Science Program Unit)Library (if administered by Computer Science Program Unit) Research (if separately budgeted)Other (specify)Total2,088,6571 It is understood that some of the data may have to be estimated to cover the entire fiscal year. In such case, unless the differences are insignificant, an updated report should be provided for the evaluation team at the time of the visit. 2 Non-teaching professionals would include research professors, faculty members on paid sabbatical leave, post-doctoral research associates, and other degreed professionals. B. Operating and Computing Expenditurestc "B. Operating and Computing Expenditures " \f C \l 2 for the Five Fiscal Years Immediately Preceding that Reported in III A 1. Operating expenses for the computer science program unit. Fiscal Year2000-012001-022002-032003-042004-05Institutional Funds73,71386,63293,51461,18335,866Outside Funds 2. Computer hardware/software capital expenditures (excluding equipment used primarily for research) for the computer science program unit. Fiscal Year2000-012001-022002-032003-042004-05Institutional Funds227,926143,299273,510254,78866,713Outside Funds C. Additional Fundingtc "C. Additional Funding " \f C \l 2 If additional funds, other than those listed in Table A above, are available to faculty to support scholarly activities such as travel to technical meetings, e.g., consulting support, give the number of faculty for whom this type of support is appropriate and an estimate of the amount of support available. Department Chair Travel $1,856 XXX Appendix IV. Computer Science Program Personneltc "Appendix IV. Computer Science Program Personnel " \f C \l 1 and Policies Towards Consulting, Professional Development, and Recruiting A. Term of Appointment of Administrative Headtc "A. Term of Appointment of Administrative Head" \f C \l 2 9 month12 Month XOther (specify) B. Number of Personnel Associated with Program (Fall 2006) tc "B. Number of Personnel Associated with Program" \f C \l 2  Full-time NumberPart TimeTotal FTENumberFTEFaculty?Non-teaching ProfessionalsAdministrative*0.750.75Computer Lab Personnel:** Professionals55 Technicians?Secretarial, Accounting, etc.2213Graduate Teaching AssistantsGraduate Research AssistantsGraduate Students???29Undergraduate Students???305 * Department Chair is 75% administrative and 25% teaching ** Shared between 5 departments in the College C. Policiestc "C. Policies " \f C \l 2 Provide a brief description to give an overview. 1. Describe policy toward private consulting work, sponsored research projects, and extra compensation. Membership on the faculty is a full-time position and their responsibilities assume that a major portion of time and energy will be devoted to University-related work. Faculty may engage in private consulting work as long as it does not interfere with their University responsibilities and as long as they do not engage in outside activities in which there is a conflict of interest with their primary responsibilities as a faculty member. State work regulations permit faculty to expend up to 25% extra effort and be paid up to 25% of their salary in overtime on sponsored research projects during the academic year. 2. State the standard teaching, administrative, research, and other loads on the faculty, in general terms. An annual average of 12 weighted teaching units (WTU) per semester is the required load for full-time faculty. Faculty are credited with one WTU for each lecture hour they teach and two WTU for each three-hour laboratory they teach. Faculty classroom teaching loads may be reduced below twelve by giving WTU credit for supervision of graduate students (S-factor), research activities and other special instructionally-related responsibilities, including curriculum development, advisement and laboratory coordination. 3. Describe policies and procedures for recruiting faculty for the computer science program. Describe any barriers to hiring the appropriate faculty. Open faculty positions are advertised in professional journals (CACM, IEEE Computer) and newspapers (The Chronicle of Higher Education), posted on the World Wide Web, and sent by postal mail to people on campus-maintained affirmative action lists and to other educational institutions. A faculty recruitment committee screens the applicants and invites the top candidates to the campus for an interview and to give a presentation on their research. After consultation with the faculty, the department chair makes a recommendation to the college dean and to the University President on who should be hired. The campus has strong affirmative action/equal opportunity policies in place throughout the entire process. The key barrier to filling vacant faculty positions has been the relatively low salary ranges authorized and funded by the University and the high cost of housing in the Los Angeles area. Appendix V. Computer Science Program Enrollment and Degree Datatc "Appendix V. Computer Science Program Enrollment and Degree Data " \f C \l 1 If you are having more than one program evaluated, particularly if the programs are on separate campuses, the answers to these questions may vary from one program to another. If this is the case, please use separate copies of this section for each program, and clearly delineate which program is being described. Give below enrollment figures for the first term of the current and five previous academic years and the number of undergraduate and graduate degrees conferred. (The current year is the year in which this report is being prepared.) List data beginning with the most recent year first. If part-time students are involved, give the number as FTE/actual number, e.g., 10/40. Two separate sets of tables are provided: actual headcounts and FTE Institution as a Whole actual headcounts AYEnrollmentTotal UGTotal GradDegree1st2nd3rd4th5thBS/BAMSPhD2006-072005-06548332558549956763892685463895564129202004-05491535786950920866892465166895488121802003-04563828837712924775172548075174944104802002-03555130577443912574192517674195073106902001-025104297574328952698524463698548248910 Unit offering Computer Science Program(s)give total enrollment even if not all students are in the program for which accreditation is requested. Computer Science Program actual headcounts AYEnrollmentTotal UGTotal GradDegree1st2nd3rd4th5thBSMSPhD2006-072005-0699519523071475711091602004-05755411128088520881272002003-04111941683471327201321463402002-031861182143921539101531273202001-022521472423751361016136124170 Institution as a Whole - FTE AYEnrollmentTotal UGTotal GradDegree1st2nd3rd4th5thBSMSPhDXXX Unit offering Computer Science Program(s)give total enrollment even if not all students are in the program for which accreditation is requested. Computer Science Program FTE AYEnrollmentTotal UGTotal GradDegree1st2nd3rd4th5thBSMSPhD Appendix VI. Admission Requirementstc "Appendix VI. Admission Requirements " \f C \l 1 A. Admission of Studentstc "A. Admission of Students " \f C \l 2 1. Describe the criteria and procedures used for admitting students to the computer science program(s). General CSUN Admission Policies Students qualify for regular admission as first-time freshmen if they 1) are high school graduates, 2) have a sufficiently high eligibility index, and 3) have completed, with grades of C or better, a specific pattern of college preparatory subjects. The eligibility index is a combination of high school grade point average and either the SAT or ACT test scores. The eligibility index required for admission is set, by law, so that approximately one-third of the high school graduates in California meet the eligibility index requirement. [The exact computation may be found in the 2006-2008 University Catalog.] The pattern of college preparatory subjects that should be taken in high school are: mathematics (3 years), English (4 years), social science, including 1 year of U.S. history and government (2 years), laboratory science (2 years), foreign language (2 years), visual and performing arts (1 year), college preparatory electives (1 years). Computer Science PreMajor: All first-time freshman who choose to major in computer science are admitted as pre-computer science majors. They need to complete seven freshman/sophomore level courses in the computer science program, including freshman composition and oral communication, with a C or better to be admitted to the computer science major. Transfer Students Transfer students are admitted if they meet the freshman eligibility requirements or if they have a 2.0 GPA in 60 or more transferable units. Transfer students who choose to major in computer science are admitted as pre-computer science majors unless they have completed the equivalent of the pre-computer science major at another college.  2. Describe procedures, including the evaluation of transfer credits, for students admitted to the program as transfer students. From within the institution An internal transfer student is performing a change of major request. To change majors, a student goes to the advisement/records office of the college in which they wish to major and requests a change of major program. For academic programs that are not impacted (such as computer science), admission to the major is unconditionally granted if the student is in good academic standing (CSUN GPA of 2.0 or better). The student is then advised by a member of the Departments faculty as to the requirements of the program. The college establishes a manual advisement file for each student. In this file there is a departmental evaluation form which delineates the requirements that have been met by the student so far. The University generated DPR report also reports on the students progress through General Education and major requirements. Students requesting a change of major who are not in good academic standing are advised regarding what requirements must be met in order to be admitted to the program. In the case of computer science, the courses in the pre-major can be taken by student on campus who has meet course prerequisites. From another institution To be admitted to CSUN, the student must be in good academic standing at the last university attended and have completed at least 30 semester units of college coursework with a grade of C or better in each course. For academic programs that are not impacted, admission to the major is unconditional. For computer science, transfer students from other institutions are advised by the Departments transfer advisor as to the requirements of the major. By default, Admissions and Records places transfer students requesting computer science into the pre-major program. The Departments transfer advisor will determine if the student should be immediately switched to the full major. The college establishes a manual file for each student. In this file there is a departmental evaluation form which delineates the requirements that have been met by the student so far. The University generated DPR report also reports on the equivalency of General Education transfer credits and, over time, the transfer courses applied towards the major. Transfer credit for a course from another institution requires a C or better in the course. Lower division courses are articulated with local community colleges after a review of the catalog description, course syllabi and textbooks. Articulated courses are automatically given transfer credit if the C or better requirement is met. Non-articulated lower and upper division courses are reviewed by the transfer advisor (a faculty member) and by the Department Chair for equivalency.  3. Explain the policy of the institution in admitting students with conditions and state how the conditions must be made up. As part of the requirements for admission to the University, applicants with an insufficiently high score on their ACT/SAT exam must take an Elementary Level Mathematics (ELM) and/or English Proficiency Test (EPT). Based on the results of these exams a student may be required to complete up to two courses in developmental English and two courses in developmental math during their first two semesters on campus. 4. Describe the general policy and methods of the unit offering computer science program(s) in regard to admission with advanced standing. Students who have passed the appropriate Advanced Placement exams are given credit for the related courses. In the computer science major, it is possible that a student may receive credit for COMP 110/L, 182/L; MATH 150AB; PHYS 220AB. There are no other special policies for advanced standing. 5. Describe any special admission requirements for entry into the "upper division" in the computer science program(s). There are no special requirements for entry into the "upper division" in computer science. However, starting with the 2001 academic year all entering students start in the computer science pre-major program. After they have completed the seven courses within the pre-major program (COMP 110/L, 122, 182/L, MATH 150A, PHIL 230, freshmen composition and oral communication) with an overall GPA in each courses of 2.0 or better plus have an overall GPA of 2.0 in all courses taken at CSU, Northridge, they may request to change from the pre-major program to the full program. While a student is waiting for the processing of their change from the pre-major to the major, they may take COMP 222, 232 and 282; but pre-majors are not permitted to enroll during regular registration in any upper division COMP course. Pre-majors may add upper division COMP courses during the first week of instruction on a space available basis with the permission of the course instructor. Appendix VII. Program Assessment Reportstc "Appendix VII. Program Assessment Reports" \f C \l 1 Program assessment reports provided by the Computer Science Department in support of this accreditation review. A. Program B. Program C. D. E. F. G. H. A. Program tc "A. Program " \f C \l 2 Appendix VIII. Support Documents and Forms tc "Appendix VIII. Support Documents and Forms " \f C \l 1 Supplemental documents and forms provided by the Computer Science Department in support of this accreditation review. A. Program Extract from 2004-2006 University Catalog B. Program Information Diagrams C. Senior Elective Concentrations D. Long Range Upper Division Course Schedule E. DPR (Degree Progress Report) F. Advisement Procedures G. Program Requirements Evaluation Form H. University Accreditation Letter from WASC A. Program Extract from 2004-2006 University Catalogtc "A. Program Extract from 2004-2006 University Catalog" \f C \l 2         B. Program Information Diagrams tc "B. Program Information Diagrams " \f C \l 2  C. Senior Elective Packages tc "C. Senior Elective Packages " \f C \l 2  D. Long Range Upper Division Course Schedule tc "D. Long Range Upper Division Course Schedule " \f C \l 2  E. DPR (Degree Progress Report) tc "E. DPR (Degree Progress Report) " \f C \l 2 XXX F. Advisement Procedures tc "F. Advisement Procedures " \f C \l 2  G. Program Requirements Evaluation Form tc "G. Program Requirements Evaluation Form " \f C \l 2   H. University Accreditation Letter from WASC tc "H. University Accreditation Letter from WASC " \f C \l 2          NUMPAGES 329 PAGE  Page  PAGE 1 of  NUMPAGES 331 C3 CS 12/14/04 C3 CS 12/7/04  Vice President Student affairs Vice President University Advancement Chief Information Officer Executive Director University Corporation Chief of Staff Director of Government Affairs Dean College of Arts, Media and Communication Dean College of Business and Economics Dean Michael D. 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J X( ` 0hd8p@ dhgd^____C`rr99 J X( ` 0hd8p@ $Ifgd^l + J X( ` 0hd8p@ gd^bkd6 $$IflD%%0%64 laC`D`E`P`Q`h/9 J X( ` 0hd8p@ $Ifgd^l + J X( ` 0hd8p@ gd^  gd^bkd $$IflyD%%0%64 laQ`R`T`a`ar?) & F?$Ifgd^l 3 J X( ` 0hd8p@ X^X`gd^+ J X( ` 0hd8p@ gd^bkd<$$IflCD%%0%64 laaaaaaaa+ J X( ` 0hd8p@ gd^]kd$$IflF$V%064 la & F?$Ifgd^l aaaai>+ J X( ` 0hd8p@ gd^]kdG$$Ifl1$h%064 la9 J X( ` 0hd8p@ $Ifgd^l ab!b.bCbVbsbbb>$$ & FK GX( ` 0hd8p@ $Ifgd^l 6$$ J X( ` 0hd8p@  8^ `8gd^bbbbtI+ J X( ` 0hd8p@ gd^.$ J X( ` 0hd8p@ a$gd^]kd$$Ifl$V%064 labbbbc$c)c2ci>>+ J X( ` 0hd8p@ gd^]kdR$$Ifl$h%064 la9 J X( ` 0hd8p@ $Ifgd^l 2c7c*h(fOh^56CJ hjh^ h`ih^k?kkkkkkkkklllll{t h8*h^hMIh^CJ h@%xh^h^B*phhgAh^B*H*phhgAh^B*phhgAh^6hNh^>*h^ hgAh^h(fOh^56CJ h'h^ hNh^hNh^0J@CJaJ hjh^hAh^56CJ*iiii5jrr1A J X( ` 0hd8p@ h$If^h`gd^l + J X( ` 0hd8p@ gd^bkd $$IflD%%0%64 la5j6j7jBjCjrr99 J X( ` 0hd8p@ $Ifgd^l + J X( ` 0hd8p@ gd^bkd$$IflyD%%0%64 laCjDjFjSjr?3 J X( ` 0hd8p@ X^X`gd^+ J X( ` 0hd8p@ gd^bkd$$IflCD%%0%64 laSj4kkkllA]kd$$IflF$V%064 la3$ & F? & 0` P@$1$7$8$H$Ifa$gd^l - & 0` P@$1$7$8$H$Ifgd^l lllblcldl>]kd$$Ifl1$h%064 la9 J X( ` 0hd8p@ $Ifgd^l + J X( ` 0hd8p@ gd^lalblcldlllllllllllllllllllll(m)m-m0memmmmmmmmmmmmmmn3n4nnnnnnnnnnnoop&q)q* h`ih^ h8*h^ h@%xh^h^h(fOh^56CJ hjh^ h'h^ hNh^hNh^0J@CJ\aJFdlllllllllla3$ & FK & 0` P@$1$7$8$H$Ifa$gd^l 3$ & FK & 0` P@$1$7$8$H$Ifa$gd^l 6$$ J X( ` 0hd8p@  8^ `8gd^ lll)mtI+ J X( ` 0hd8p@ gd^.$ J X( ` 0hd8p@ a$gd^]kd$$Ifl$V%064 la)m.m/m0mi>+ J X( ` 0hd8p@ gd^]kd($$Ifl$h%064 la9 J X( ` 0hd8p@ $Ifgd^l 0mfmkmpmym~mmm<$$ J X( ` 0hd8p@ $Ifgd^l .$$ J X( ` 0hd8p@ gd^mmEkd$$Iflֈ H$t<<064 lammmmmmm<$$ J X( ` 0hd8p@ $Ifgd^l mmEkd$$Iflֈ H$t<<064 lammmmmmm<$$ J X( ` 0hd8p@ $Ifgd^l mmEkd$$Iflֈ H$t<<064 lammmmmmm<$$ J X( ` 0hd8p@ $Ifgd^l mmmE+ J X( ` 0hd8p@gd^kd$$Iflֈ H$t<<064 lamnooop'q$Ifgd^l / J X( ` 0hd8p@ ^ gd^+ J X( ` 0hd8p@gd^'q(q)q=qqrrC/ J X( ` 0hd8p@ ^ gd^+ J X( ` 0hd8p@gd^bkdm $$IflL$%064 laqqqqd5/ J X( ` 0hd8p@ ^ gd^bkd $$Ifl1L$%064 la9 J X( ` 0hd8p@$Ifgd^l qq*rUr_<$$ J X( ` 0hd8p@$Ifgd^l 6$$ J X( ` 0hd8p@x^`xgd^.$$ J X( ` 0hd8p@gd^UrVrWrgrrryb h$Ifgd^l  h0^`0gd^ h0^`0gd^bkd}!$$IflL$%064 larrrrrssss-s.s?s@sAsTsesfshsiswsxszsssttuuuEuGuHuJuRuhukuuuvuzu~uuxnh h^@h0Ph^@H*h0Ph^@]h0Ph^@h0Ph^>*@ h^@]h(fOh^56CJ hOh^hAh^56CJhjh^5h h^5aJh h^5hjh^aJhjh^5aJ h^5h2Fh^5 hjh^h^(rrrrvH.$ J X( ` 0hd8p@ !a$gd^& GX( ` 0hd8p@ !bkd"$$Ifl^L$%064 larrrrsss.sXXXXC NH$ X( ` 0hd8p@ !$5$7$8$9DH$Ifgd^l 9 J X( ` 0hd8p@ !$Ifgd^l + J X( ` 0hd8p@ !gd^.s/s9s?sAsTsf----9 J X( ` 0hd8p@ !$Ifgd^l kd"$$Ifl\ 7D%U] 0%64 laTsfsgshsisws-kdT#$$Ifl\ 7D%U] 0%64 la9 J X( ` 0hd8p@ !$Ifgd^l wsxsys-kd$$$Ifl\ 7D%U] 0%64 la9 J X( ` 0hd8p@ !$Ifgd^l yszsstm9 J X( ` 0hd8p@ $Ifgd^l + J X( ` 0hd8p@ gd^. 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J X( ` 0hd8p@ dhgd^reJh$If^h`gd^l   Hgd^+ J X( ` 0hd8p@ gd^bkd$$IflD%%0%64 laz{}XùÚÐшфф}}qhNh^5CJaJ hNh^h^h(8h^H*h(8h^56h1?h^0J>5>*aJ!jhNh^5>*Uh1?h^5>*jh1?h^5>*U h(8h^ h^\h(8h^\h1?h^>*h(fOh^56CJ hjh^'rr99 J X( ` 0hd8p@ $Ifgd^l + J X( ` 0hd8p@ gd^bkd$$IflyD%%0%64 la!r?&$ & F?$Ifa$gd^l 3 J X( ` 0hd8p@ X^X`gd^+ J X( ` 0hd8p@ gd^bkd9$$IflCD%%0%64 la!]7{|}^^+ J X( ` 0hd8p@ gd^]kd$$IflF$V%064 la$ & F?$Ifa$gd^l  YZ[~d.6$$ J X( ` 0hd8p@  8^ `8gd^+ J X( ` 0hd8p@ gd^]kdD$$Ifl1$h%064 la$Ifgd^l XYZ[}~ ?@DG|JK=@SAkn}-D߻h h^5hjh^aJhjh^5aJh2Fh^5 h^>* h`ih^h^h(fOh^56CJ hjh^ hNh^#hNh^5B*CJ\aJph">~q  [.$ J X( ` 0hd8p@ a$gd^]kdLJ$$Ifl^$V%064 la$ & FT$Ifa$gd^l  @EFG}>]kdO$$Ifl$h%064 la9 J X( ` 0hd8p@ $Ifgd^l + J X( ` 0hd8p@ gd^9 J X( ` 0hd8p@ $Ifgd^l Ekd҈$$Iflֈ H$t<<064 la9 J X( ` 0hd8p@ $Ifgd^l Ekd$$Iflֈ H$t<<064 la9 J X( ` 0hd8p@ $Ifgd^l Ekd$$Iflֈ H$t<<064 la9 J X( ` 0hd8p@ $Ifgd^l E+ J X( ` 0hd8p@gd^kd$$Iflֈ H$t<<064 la>$Ifgd^l / J X( ` 0hd8p@ ^ gd^+ J X( ` 0hd8p@gd^>?@TrrC/ J X( ` 0hd8p@ ^ gd^+ J X( ` 0hd8p@gd^bkd$$IflL$%064 lad5/ J X( ` 0hd8p@ ^ gd^bkd$$Ifl1L$%064 la9 J X( ` 0hd8p@$Ifgd^l Al_<$$ J X( ` 0hd8p@$Ifgd^l 6$$ J X( ` 0hd8p@x^`xgd^.$$ J X( ` 0hd8p@gd^lmn~yb h$Ifgd^l  h0^`0gd^ h0^`0gd^bkd$$IflL$%064 lavH.$ J X( ` 0hd8p@ !a$gd^& GX( ` 0hd8p@ !bkd,$$Ifl^L$%064 la'-EXXXXC NH$ X( ` 0hd8p@ !$5$7$8$9DH$Ifgd^l 9 J X( ` 0hd8p@ !$Ifgd^l + J X( ` 0hd8p@ !gd^DEVWXkxz{#$]?@BXYwxyz&)^ h`ih^#h h^5B*CJ\aJph"h h^5CJaJ h h^h^hNh^>*h(fOh^56CJ h4Ih^hAh^56CJh h^5hjh^5 h^5 hjh^h h^5aJ3EFPVXkf----9 J X( ` 0hd8p@ !$Ifgd^l kd$$Ifl\ 7D%U] 0%64 lakxyz{-kd{$$Ifl\ 7D%U] 0%64 la9 J X( ` 0hd8p@ !$Ifgd^l -kdB$$Ifl\ 7D%U] 0%64 la9 J X( ` 0hd8p@ !$Ifgd^l 1bkd $$IflD%%0%64 la?$Ifgd^l + J X( ` 0hd8p@ gd^. 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J X( ` 0hd8p@ dhgd^opr{rr_$Ifgd^l + J X( ` 0hd8p@ gd^bkdV$$IflD%%0%64 larr99 J X( ` 0hd8p@ $Ifgd^l + J X( ` 0hd8p@ gd^bkd٪$$IflyD%%0%64 lar?,$Ifgd^l 3 J X( ` 0hd8p@ X^X`gd^+ J X( ` 0hd8p@ gd^bkd\$$IflCD%%0%64 lawwd$Ifgd^l + J X( ` 0hd8p@ gd^]kd߫$$IflF$V%064 la34DEXYijyz{|)*<=]^~;T    >!h!k!{!!!!"G"q"s"u""""""""߼hjh^aJhjh^5aJ h^5aJ h^>* h`ih^h^h(fOh^56CJ hjh^ hJ5h^#hJ5h^5B*CJ\aJph"@wA($ & FK$Ifa$gd^l 6$$ J X( ` 0hd8p@  8^ `8gd^+ J X( ` 0hd8p@ gd^]kdg$$Ifl1$h%064 la.AK_q[.$ J X( ` 0hd8p@ a$gd^]kd$$Ifl$V%064 la$ & FK$Ifa$gd^l  8]kdr$$Ifl$h%064 la<$$ J X( ` 0hd8p@ $Ifgd^l .$$ J X( ` 0hd8p@ gd^ &9 J X( ` 0hd8p@ $Ifgd^l + J X( ` 0hd8p@ gd^&'Ekd$$Iflֈ H$t<<064 la'234DEF9 J X( ` 0hd8p@ $Ifgd^l FGEkd$$Iflֈ H$t<<064 laGWXYijk9 J X( ` 0hd8p@ $Ifgd^l klEkdϯ$$Iflֈ H$t<<064 lalxyz{|}9 J X( ` 0hd8p@ $Ifgd^l }~E+ J X( ` 0hd8p@gd^kdʰ$$Iflֈ H$t<<064 la:;U  $Ifgd^l / J X( ` 0hd8p@ ^ gd^+ J X( ` 0hd8p@gd^    >!rrC/ J X( ` 0hd8p@ ^ gd^+ J X( ` 0hd8p@gd^bkd$$IflL$%064 la>!i!j!k!d5/ J X( ` 0hd8p@ ^ gd^bkd?$$Ifl1L$%064 la9 J X( ` 0hd8p@$Ifgd^l k!|!!!_<$$ J X( ` 0hd8p@$Ifgd^l 6$$ J X( ` 0hd8p@x^`xgd^.$$ J X( ` 0hd8p@gd^!!!"G"r"yb h$Ifgd^l  h0^`0gd^ h0^`0gd^bkdDz$$IflL$%064 lar"s"t""vH.$ J X( ` 0hd8p@ !a$gd^& GX( ` 0hd8p@ !bkdO$$Ifl^L$%064 la""""""""XXXXC NH$ X( ` 0hd8p@ !$5$7$8$9DH$Ifgd^l 9 J X( ` 0hd8p@ !$Ifgd^l + J X( ` 0hd8p@ !gd^""""""f----9 J X( ` 0hd8p@ !$Ifgd^l kd׳$$Ifl\ 7D%U] 0%64 la""""""" # # #'#(#######1$4$5$7$A$N$P$S$T$W$a$b$k$l$s$t$v$$$$$$$$$$$$$$$$$$$몢뛪몛hWh^6hyh^H* hPh^hW^h^H*h^h7gh^>*h(fOh^56CJ h1?h^hNh^B*ph"hNh^0J@CJhAh^56CJ hjh^hjh^5 h^54""""" #-kd$$Ifl\ 7D%U] 0%64 la9 J X( ` 0hd8p@ !$Ifgd^l  # # #-kde$$Ifl\ 7D%U] 0%64 la9 J X( ` 0hd8p@ !$Ifgd^l  # #(####.bkd,$$IflD%%0%64 laA$$Ifa$gd^l + J X( ` 0hd8p@ gd^. J X( ` 0hd8p@ dhgd^##U$V$W$b$9bkd$$IflyD%%0%64 la9 J X( ` 0hd8p@ $Ifgd^l + J X( ` 0hd8p@ gd^b$$%%%G&&&'#(h((c))* Xh$If^h`gd^l h$7$8$H$If^h`gd^l $% %%e%m%n%p%w%}%%%%%%%%%%%%%%%%%%%%%%& & &&&$&%&'&)&,&F&Q&f&&&&&&&&&&&P'|'}'''''''((((!("(Q(W(X([(b(r(s((h h^>* hjh^hWh^H* h^>*h7gh^>*hWh^6h^ hPh^hWh^5L((((((((((H)O)P)Q)Y)Z))))))) ******&*(*d*************<-B-D-W-z....r0w000000p33333εhyh^6B*phhyh^B*phhyh^5B*phh(fOh^56CJ hjh^hWh^5hWh^6h h^H*h h^>* hPh^h^>*****r?,$Ifgd^l 3 J X( ` 0hd8p@ X^X`gd^+ J X( ` 0hd8p@ gd^bkd2$$IflCD%%0%64 la*7+{++,,<-X--.z...6//s0$ & F?$Ifa$gd^l $ & F$Ifa$gd^l $Ifgd^l s0t0v0w00oDD+ J X( ` 0hd8p@ gd^3 J X( ` 0hd8p@ X^X`gd^]kd$$IflF$V%064 la0000i>+ J X( ` 0hd8p@ gd^]kd=$$Ifl1$h%064 la9 J X( ` 0hd8p@ $Ifgd^l 00001+1?1d111VVVVVV; & FK GX( ` 0hd8p@ $Ifgd^l ; & FK GX( ` 0hd8p@ $Ifgd^l 3 J X( ` 0hd8p@  8^ `8gd^ 111112.2S2o22223%3:3M3; & FK GX( ` 0hd8p@ $Ifgd^l ; & FK GX( ` 0hd8p@ $Ifgd^l M3n3o3p3g9.$ J X( ` 0hd8p@ a$gd^]kd$$Ifl$V%064 la; & FK GX( ` 0hd8p@ $Ifgd^l p33333333>]kdH$$Ifl$h%064 la9 J X( ` 0hd8p@ $Ifgd^l + J X( ` 0hd8p@ gd^3344'4(4;4<4L4M4\4]4^4_4c4444 5 555 5!5A5B5b5c5z5{5686z7777"8L8O8_88888+9U9W9Y9|9999999999999999 : :hAh^56CJhjh^5 h^5hjh^aJhjh^5aJ h^5aJh^ h^>* h`ih^ hjh^h(fOh^56CJA3334 49 J X( ` 0hd8p@ $Ifgd^l  4 4Ekd˹$$Iflֈ H$t<<064 la 4444'4(4)49 J X( ` 0hd8p@ $Ifgd^l )4*4Ekd$$Iflֈ H$t<<064 la*4:4;4<4L4M4N49 J X( ` 0hd8p@ $Ifgd^l N4O4Ekd$$Iflֈ H$t<<064 laO4[4\4]4^4_4`49 J X( ` 0hd8p@ $Ifgd^l `4a4c4E+ J X( ` 0hd8p@gd^kd$$Iflֈ H$t<<064 lac446696z77$Ifgd^l / J X( ` 0hd8p@ ^ gd^+ J X( ` 0hd8p@gd^7777"8rrC/ J X( ` 0hd8p@ ^ gd^+ J X( ` 0hd8p@gd^bkd$$IflL$%064 la"8M8N8O8d5/ J X( ` 0hd8p@ ^ gd^bkd$$Ifl1L$%064 la9 J X( ` 0hd8p@$Ifgd^l O8`888_<$$ J X( ` 0hd8p@$Ifgd^l 6$$ J X( ` 0hd8p@x^`xgd^.$$ J X( ` 0hd8p@gd^8888+9V9yb h$Ifgd^l  h0^`0gd^ h0^`0gd^bkd$$IflL$%064 laV9W9X9l9vH.$ J X( ` 0hd8p@ !a$gd^& GX( ` 0hd8p@ !bkd%$$Ifl^L$%064 lal9m9u9|99999XXXXC NH$ X( ` 0hd8p@ !$5$7$8$9DH$Ifgd^l 9 J X( ` 0hd8p@ !$Ifgd^l + J X( ` 0hd8p@ !gd^999999f----9 J X( ` 0hd8p@ !$Ifgd^l kd$$Ifl\ 7D%U] 0%64 la999999-kdt$$Ifl\ 7D%U] 0%64 la9 J X( ` 0hd8p@ !$Ifgd^l 999-kd;$$Ifl\ 7D%U] 0%64 la9 J X( ` 0hd8p@ !$Ifgd^l 99 ::::1bkd$$IflD%%0%64 laA$Ifgd^l + J X( ` 0hd8p@ gd^. J X( ` 0hd8p@ dhgd^ :::::::+;[;^;`;;;;;<<<<<<<!<"<$<E<I<K<T<U<b<d<g<h<y<z<<<<<<<<<<<====%=+=6=̴̼̭ܦ̦̦̦̦̦̦̦̦hWh^5hWh^6hyh^H*h7gh^>* hPh^ hW^h^hkh^H*h{8h^H*h{8h^>*h^h(fOh^56CJ hjh^ h1?h^hNh^B*ph"hNh^0J@CJ4:::~;<<1bkd$$IflyD%%0%64 laA J X( ` 0hd8p@ h$If^h`gd^l + J X( ` 0hd8p@ gd^<<<i<<-===9>>3>7>R>S>>>>>>>>*?+?-?5?6?e??????????@@ @@ @!@.@0@3@L@N@O@Q@[@h h^H*hWh^5hWh^6h h^>* hjh^hWh^H* h^>*h7gh^>* hPh^h^I[@a@g@@@@@AAkAAAAAAAAAAAAAABCBDBFBOBPBUBYBeBfBlBnBBDDDE(F.F0FFFH$H:H;HgHjHHSKKKKKMMM N NNNźźźޟޟ h`ih^ hkh^h h^6B*phh h^B*phh h^5B*phh(fOh^56CJ hjh^hWh^5hWh^6h^ hPh^>VBWBYBfBBr?,$Ifgd^l 3 J X( ` 0hd8p@ X^X`gd^+ J X( ` 0hd8p@ gd^bkd$$IflCD%%0%64 laBB)CC3DwDDE?EE(FGF~FFG H & F?$Ifgd^l $ & F$Ifa$gd^l $Ifgd^l  H!H#H$H;HoDD+ J X( ` 0hd8p@ gd^3 J X( ` 0hd8p@ X^X`gd^]kd$$IflF$V%064 la;HhHiHjHi>+ J X( ` 0hd8p@ gd^]kd$$Ifl1$h%064 la9 J X( ` 0hd8p@ $Ifgd^l jHHH=IaIIIJJ1KUUUU; GX( ` 0hd8p@ 8$If^8gd^l ; & FK GX( ` 0hd8p@ $Ifgd^l 3 J X( ` 0hd8p@  8^ `8gd^ 1KQKRKSKg9.$ J X( ` 0hd8p@ a$gd^]kd$$Ifl$V%064 la; & FK GX( ` 0hd8p@ $Ifgd^l SKKKK;LLLL MHMMM}>$ & F GX( ` 0hd8p@ $Ifa$gd^l $ & F$Ifa$gd^l + J X( ` 0hd8p@ gd^ MMMMMMMMww>>>>9 J X( ` 0hd8p@ $Ifgd^l + J X( ` 0hd8p@ gd^]kd$$Ifl$h%064 laMMM9 J X( ` 0hd8p@ $Ifgd^l MMEkd$$Iflֈ H$t<<064 laM N N NNNN9 J X( ` 0hd8p@ $Ifgd^l NNEkd$$Iflֈ H$t<<064 laN/N0N1NANBNCN9 J X( ` 0hd8p@ $Ifgd^l N0N1NANBNQNRNSNTNXNwNNNOOOOOO6O7OWOXOoOpOP-PoQQQQRARDRTRRRRR SJSLSNSqSySzSSSSSSSSSSSSSTT#T$ThAh^56CJh/ h^5CJhjh^5 h^5hjh^aJhjh^5aJ h^5aJh^ h^>*h(fOh^56CJ h`ih^ hjh^=CNDNEkd{$$Iflֈ H$t<<064 laDNPNQNRNSNTNUN9 J X( ` 0hd8p@ $Ifgd^l UNVNXNE+ J X( ` 0hd8p@gd^kdv$$Iflֈ H$t<<064 laXNxNPP.PoQQ$Ifgd^l / J X( ` 0hd8p@ ^ gd^+ J X( ` 0hd8p@gd^QQQQRrrC/ J X( ` 0hd8p@ ^ gd^+ J X( ` 0hd8p@gd^bkdc$$IflL$%064 laRBRCRDRd5/ J X( ` 0hd8p@ ^ gd^bkd$$Ifl1L$%064 la9 J X( ` 0hd8p@$Ifgd^l DRURRR_<$$ J X( ` 0hd8p@$Ifgd^l 6$$ J X( ` 0hd8p@x^`xgd^.$$ J X( ` 0hd8p@gd^RRRR SKSyb h$Ifgd^l  h0^`0gd^ h0^`0gd^bkds$$IflL$%064 laKSLSMSaSvH.$ J X( ` 0hd8p@ !a$gd^& GX( ` 0hd8p@ !bkd$$Ifl^L$%064 laaSbSjSqSzSSSSXXXXC NH$ X( ` 0hd8p@ !$5$7$8$9DH$Ifgd^l 9 J X( ` 0hd8p@ !$Ifgd^l + J X( ` 0hd8p@ !gd^SSSSSSg....9 J X( ` 0hd8p@ !$Ifgd^l kd$$Ifl\` p&H0&4 laSSSSSS.kdG$$Ifl\` p&H0&4 la9 J X( ` 0hd8p@ !$Ifgd^l STT.kd $$Ifl\` p&H0&4 la9 J X( ` 0hd8p@ !$Ifgd^l TT$TxTyT{T.bkd$$Iflp&&0&64 laA$$Ifa$gd^l + J X( ` 0hd8p@ gd^. J X( ` 0hd8p@ dhgd^$TwTxTyT{TTTTTTTTTTUUU!U$U&UWUxU|U~UUVCVxVVVVW4W5WLWMWvWWWWXX)XXXXX̵̼ܬwhNh^0JK6CJhNh^0JKCJhNh^6CJhNh^CJH*hNh^>*CJhNh^CJ h=Uh^h_h^H*h_h^>*h^h(fOh^56CJ hjh^ h(fOh^hNh^B*ph"hNh^0J@CJ.{TTTTTUSbkdR$$Iflyp&&0&64 lah$7$8$H$If^h`gd^l + J X( ` 0hd8p@ gd^UBUU,VVVWvWW{XX!Yeeh$7$8$H$If^h`gd^l  lh$If^h`gd^l h$If^h`gd^l A J X( ` 0hd8p@ h$If^h`gd^l  XXXYY!Y;YiYjYmYoYYYYYYYYZ4Z[ZhZ}ZZZZZ[0[f[[[[[[\\\+\̎unbh(fOh^56CJ hjh^h=Uh^OJ QJ ^J hNh^>*CJaJ hNh^CJaJ hNh^0JKCJhNh^6B*CJphhNh^B*CJphhNh^6CJH*hNh^6CJhNh^CJmHsHhNh^CJH*hNh^>*CJhNh^CJ&!YYY[ZZZO[[\h$7$8$H$If^h`gd^l h$If^h`gd^l A J X( ` 0hd8p@ h$If^h`gd^l \\\,\N\i\rrXB$$$Ifgd^l $$ h$Ifgd^l + J X( ` 0hd8p@ gd^bkd$$IflCp&&0&64 la+\,\N\\\I_J__`aabc6cdddee eee1e2eBfDfEfzf{fffffffffgg!g"g1g2g3g4g6g8gWggggggghh6h7hNhOhhh iNjxjzj{jɽ h^>* h`ih^h/ h^CJh(fOh^56CJh^hNh^CJhNh^B*CJphhNh^CJ\hNh^5CJ\ hjh^Bi\\\].]\]]]] ^$^]^^^^$_J_v___F```$$$Ifgd^l $$$ & F$Ifa$gd^l ````aa>amaaabb|b}a$$$ & F$Ifa$gd^l $$ h$Ifgd^l $$$ & F$Ifa$gd^l $$$Ifgd^l $$ h@$Ifgd^l $$$ & F$Ifa$gd^l  |bbc6ckdddKbkdX$$IflFp&&0&64 la$$$ & F?$Ifa$gd^l $$ h$Ifgd^l $$$ & F$Ifa$gd^l dde en<$$ J X( ` 0hd8p@ $Ifgd^l }.$$ J X( ` 0hd8p@ gd^& GX( ` 0hd8p@ ! eee2ewA6$$ J X( ` 0hd8p@  8^ `8gd^+ J X( ` 0hd8p@ gd^]kd$$Ifl1$h%064 la2e^eeeeeffCf>$$ & F GX( ` 0hd8p@ $Ifgd^l $ & F $$Ifa$gd^l CfDfEf{ftI+ J X( ` 0hd8p@ gd^.$ J X( ` 0hd8p@ a$gd^]kdc$$Ifl$V%064 la{ffffffffi>>+ J X( ` 0hd8p@ gd^]kd$$Ifl$h%064 la9 J X( ` 0hd8p@ $Ifgd^l ffff9 J X( ` 0hd8p@ $Ifgd^l ffEkdn$$Iflֈ H$t<<064 lafffffff9 J X( ` 0hd8p@ $Ifgd^l ffEkd[$$Iflֈ H$t<<064 lafggg!g"g#g9 J X( ` 0hd8p@ $Ifgd^l #g$gEkdH$$Iflֈ H$t<<064 la$g0g1g2g3g4g5g9 J X( ` 0hd8p@ $Ifgd^l 5g6g8gE+ J X( ` 0hd8p@gd^kdC$$Iflֈ H$t<<064 la8gXghh iNjwE2$$ J X( ` 0hd8p@ ^ gd^.$$ J X( ` 0hd8p@gd^/ J X( ` 0hd8p@ ^ gd^+ J X( ` 0hd8p@gd^Njyjzj{jjj\\-/ J X( ` 0hd8p@ ^ gd^+ J X( ` 0hd8p@gd^bkd0$$IflL$%064 la$$$Ifgd^l {jjj k"k#k3k|kkkkkk)l+l-lOlWlXlelplqlllllllllllllllmmmmmmmn)n+n,n6n7n홎zhX h^6 h^6 h(fOh^hNh^B*ph"hNh^0J@CJhAh^56CJhh^CJhjh^5 h^5hjh^aJhjh^5aJ h^5aJh/ h^CJh^ hjh^h(fOh^56CJ0j!k"k#kd5/ J X( ` 0hd8p@ ^ gd^bkd$$Ifl1L$%064 la9 J X( ` 0hd8p@$Ifgd^l #k4k|kk_<$$ J X( ` 0hd8p@$Ifgd^l 6$$ J X( ` 0hd8p@x^`xgd^.$$ J X( ` 0hd8p@gd^kkkkk*lyb h$Ifgd^l  h0^`0gd^ h0^`0gd^bkd@$$IflL$%064 la*l+l-l@lvH.$ J X( ` 0hd8p@ !a$gd^& GX( ` 0hd8p@ !bkd$$Ifl^L$%064 la@lAlOlXlelqlXXXC NH$ X( ` 0hd8p@ !$5$7$8$9DH$Ifgd^l 9 J X( ` 0hd8p@ !$Ifgd^l + J X( ` 0hd8p@ !gd^qlrlllllf----9 J X( ` 0hd8p@ !$Ifgd^l kdP$$Ifl\ 0&D `  0T'64 lallllllf----9 J X( ` 0hd8p@ !$Ifgd^l kd$$Ifl\ 0&D `  0T'64 lalllf7/ J X( ` 0hd8p@ ^ gd^kd$$Ifl\ 0&D `  0T'64 lallmmmm_0/ J X( ` 0hd8p@ ^ gd^bkd$$Ifl&T'0T'64 laA$Ifgd^l + J X( ` 0hd8p@ gd^m*n+n,nd5/ J X( ` 0hd8p@ ^ gd^bkd($$Ifly&T'0T'64 la9 J X( ` 0hd8p@ $Ifgd^l ,n7nunnWooJpp#qqqxxxYxYp$7$8$H$If^`pgd^l p$If^`pgd^l A J X( ` 0hd8p@ p$If^`pgd^l + J X( ` 0hd8p@ gd^ 7nCnUnWnYnnnnnn1onooopJpapbpypzpppp#q)q=qRqqqqq r0r3r5rRrlrrrrrrrrrrr0sCsĶљhNh^B*CJaJphhNh^6CJH*aJhNh^CJaJmHsHhNh^0JK6CJaJhNh^0JKCJaJhNh^6CJaJhNh^CJH*aJhNh^>*CJaJhNh^CJaJ0qRrr0sss(ttueeh$7$8$H$If^h`gd^l p$7$8$H$If^`pgd^l A J X( ` 0hd8p@ h$If^h`gd^l h$If^h`gd^l Csessssssss5tatttuuu-uLuNuPu\u]uuuu_x`xx\yy5zQz>{]{q||I~K~L~b~c~~~ռհե{o{o{oo{{{եkh^hNh^CJ\aJhNh^5CJ\aJ hjh^h(fOh^56CJhh^CJhh^CJaJhNh^>*CJaJhNh^0JKCJaJhNh^6CJaJhNh^CJaJhNh^B*CJaJph hNh^6B*CJaJph*uMuNuPud5/ J X( ` 0hd8p@ ^ gd^bkd$$IflC&T'0T'64 la9 J X( ` 0hd8p@ $Ifgd^l Pu]uuuuvIv_vvvv w:wswww$ & F$Ifa$gd^l $Ifgd^l  h$Ifgd^l 3 J X( ` 0hd8p@ X^X`gd^wx:x`xxxx\ykyyy5zQz`zzzz>{]{l{ h$Ifgd^l  h@$Ifgd^l $Ifgd^l $ & F$Ifa$gd^l l{{|q||}J~K~Tbkd.$$IflF&B'0B'64 la$ & F?$Ifa$gd^l  h$Ifgd^l $ & F$Ifa$gd^l K~L~c~~l9 J X( ` 0hd8p@ $Ifgd^l + J X( ` 0hd8p@ gd^/ J X( ` 0hd8p@ ^ gd^~~~~n86$$ J X( ` 0hd8p@  8^ `8gd^/ J X( ` 0hd8p@ ^ gd^bkd$$Ifl1&T'0T'64 la~~~~ˁ$%56EFGHLk[-/0@Ņ 68:]eft۽䦜hjh^aJhjh^5aJ h^5aJh^ h^>* h`ih^ hNh^hh^56CJhh^CJaJhNh^aJ hjh^h(fOh^56CJhh^CJ:~~/F`>$$ & FK GX( ` 0hd8p@ $Ifgd^l $ & F $$Ifa$gd^l o=2$$ J X( ` 0hd8p@ ^ gd^.$ J X( ` 0hd8p@ a$gd^bkd9$$Ifl&B'0B'64 la)Gnʀ.=f|B$$$ & FK J X( ` 0hd8p@$Ifa$gd^l ́nC+ J X( ` 0hd8p@ gd^/ J X( ` 0hd8p@ ^ gd^bkd$$Ifl&T'0T'64 láсց߁9 J X( ` 0hd8p@ $Ifgd^l EkdD$$Iflֈ H$t<<064 la9 J X( ` 0hd8p@ $Ifgd^l Ekd1$$Iflֈ H$t<<064 la#$%5679 J X( ` 0hd8p@ $Ifgd^l 78Ekd$$Iflֈ H$t<<064 la8DEFGHI9 J X( ` 0hd8p@ $Ifgd^l IJLE+ J X( ` 0hd8p@gd^kd$$Iflֈ H$t<<064 laLl[$Ifgd^l / J X( ` 0hd8p@ ^ gd^+ J X( ` 0hd8p@gd^nCn+ J X( ` 0hd8p@gd^/ J X( ` 0hd8p@ ^ gd^bkd$$IflL$%064 la./0d5/ J X( ` 0hd8p@ ^ gd^bkd$$Ifl1L$%064 la9 J X( ` 0hd8p@$Ifgd^l 0A_<$$ J X( ` 0hd8p@$Ifgd^l 6$$ J X( ` 0hd8p@x^`xgd^.$$ J X( ` 0hd8p@gd^ƅ 7n\J3 h$Ifgd^l  h0^`0gd^ h0^`0gd^/ J X( ` 0hd8p@ ^ gd^bkd$$IflL$%064 la789MvH.$ J X( ` 0hd8p@ !a$gd^& GX( ` 0hd8p@ !bkd$$Ifl^L$%064 laMNV]fntXXXXC NH$ X( ` 0hd8p@ !$5$7$8$9DH$Ifgd^l 9 J X( ` 0hd8p@ !$Ifgd^l + J X( ` 0hd8p@ !gd^†Іцӆ<=>@HIn~56̌͌ьԌ =>NObcst׍ʿ h`ih^ h^H*hL:Xh^>*h^h(fOh^56CJ h(fOh^hNh^B*ph"hNh^0JCCJhAh^56CJhjh^5 h^5 hjh^hjh^5aJ:f----9 J X( ` 0hd8p@ !$Ifgd^l kd&$$Ifl\ 7D%U] 0%64 la†І-kd$$Ifl\ 7D%U] 0%64 la9 J X( ` 0hd8p@ !$Ifgd^l Іц҆-kd$$Ifl\ 7D%U] 0%64 la9 J X( ` 0hd8p@ !$Ifgd^l ҆ӆ=>@1bkd{$$IflD%%0%64 laB$Ifgd^l + J X( ` 0hd8p@ gd^. J X( ` 0hd8p@ dhgd^@I9bkd$$IflyD%%0%64 la9 J X( ` 0hd8p@ $Ifgd^l + J X( ` 0hd8p@ gd^r?3 J X( ` 0hd8p@ X^X`gd^+ J X( ` 0hd8p@ gd^bkd$$IflCD%%0%64 la"vK]kd$$IflF$V%064 la & F?$Ifgd^l A$$$ & FK GX( ` 0hd8p@ $Ifa$gd^l >]kd$$Ifl1$h%064 la9 J X( ` 0hd8p@ $Ifgd^l + J X( ` 0hd8p@ gd^6FL`q|ɋ֋ދ .:>$ & FK GX( ` 0hd8p@ $Ifa$gd^l 3 J X( ` 0hd8p@  8^ `8gd^:`d6.$ J X( ` 0hd8p@ a$gd^]kd$$Ifl$V%064 la>$ & FK GX( ` 0hd8p@ $Ifa$gd^l ͌ҌӌԌ >]kd$$Ifl$h%064 la9 J X( ` 0hd8p@ $Ifgd^l + J X( ` 0hd8p@ gd^"'09 J X( ` 0hd8p@ $Ifgd^l 01Ekd$$Iflֈ H$t<<064 la1<=>NOP9 J X( ` 0hd8p@ $Ifgd^l PQEkd$$Iflֈ H$t<<064 laQabcstu9 J X( ` 0hd8p@ $Ifgd^l uvEkd$$Iflֈ H$t<<064 lav9 J X( ` 0hd8p@ $Ifgd^l E+ J X( ` 0hd8p@gd^kd$$Iflֈ H$t<<064 laDE_ttE/ J X( ` 0hd8p@ ^ gd^+ J X( ` 0hd8p@gd^2$$ J X( ` 0hd8p@ ^ gd^.$$ J X( ` 0hd8p@gd^׍؍34FGghE^ʐ͐HruΑ Q{}ԒՒ  78Дļļ󥚓 h(fOh^hNh^B*ph"hNh^0JCCJhAh^56CJhjh^5 h^5hjh^aJhjh^5aJ h^5aJh^h(fOh^56CJ hjh^ h^>*7ː̐͐H__0/ J X( ` 0hd8p@ ^ gd^+ J X( ` 0hd8p@gd^bkd$$IflL$%064 la$Ifgd^l Hstud5/ J X( ` 0hd8p@ ^ gd^bkdd$$Ifl1L$%064 la9 J X( ` 0hd8p@$Ifgd^l uΑ_<$$ J X( ` 0hd8p@$Ifgd^l 6$$ J X( ` 0hd8p@x^`xgd^.$$ J X( ` 0hd8p@gd^ Q|yb h$Ifgd^l  h0^`0gd^ h0^`0gd^bkd$$IflL$%064 la|}~vH.$ J X( ` 0hd8p@ !a$gd^& GX( ` 0hd8p@ !bkdt$$Ifl^L$%064 laՒXXXXC NH$ X( ` 0hd8p@ !$5$7$8$9DH$Ifgd^l 9 J X( ` 0hd8p@ !$Ifgd^l + J X( ` 0hd8p@ !gd^Ւ֒f----9 J X( ` 0hd8p@ !$Ifgd^l kd$$Ifl\ 7D%U] 0%64 la   -kd$$Ifl\ 7D%U] 0%64 la9 J X( ` 0hd8p@ !$Ifgd^l -kd$$Ifl\ 7D%U] 0%64 la9 J X( ` 0hd8p@ !$Ifgd^l 81bkdQ$$IflD%%0%64 laB$Ifgd^l + J X( ` 0hd8p@ gd^. J X( ` 0hd8p@ dhgd^&'9bkd$$IflyD%%0%64 la9 J X( ` 0hd8p@ $Ifgd^l + J X( ` 0hd8p@ gd^Д%*6723x{ۗܗ ?stߙ ij|}֚ך{֜~.1@؞Ⱦhjh^5aJ h^5aJ h^>* h`ih^h(fOh^56CJ hjh^ h^H*h^hL:Xh^>*G'(*7r?) & F?$Ifgd^l 3 J X( ` 0hd8p@ X^X`gd^+ J X( ` 0hd8p@ gd^bkdW$$IflCD%%0%64 laҕ3aa+ J X( ` 0hd8p@ gd^]kd$$IflF$V%064 la & F?$Ifgd^l 3yz{i>+ J X( ` 0hd8p@ gd^]kdb$$Ifl1$h%064 la9 J X( ` 0hd8p@ $Ifgd^l {ܖ$4EYj>$$ & FK GX( ` 0hd8p@ $Ifgd^l 6$$ J X( ` 0hd8p@  8^ `8gd^ ܗtI+ J X( ` 0hd8p@ gd^.$ J X( ` 0hd8p@ a$gd^]kd$$Ifl$V%064 laܗ @IfΘ?$ & F J X( ` 0hd8p@ $Ifa$gd^l 9 J X( ` 0hd8p@ $Ifgd^l    @EJSXww>>>>9 J X( ` 0hd8p@ $Ifgd^l + J X( ` 0hd8p@ gd^]kdm$$Ifl$h%064 laX]f9 J X( ` 0hd8p@ $Ifgd^l fgEkd$$Iflֈ H$t<<064 lagrst9 J X( ` 0hd8p@ $Ifgd^l Ekd$$Iflֈ H$t<<064 la9 J X( ` 0hd8p@ $Ifgd^l Ekd$$Iflֈ H$t<<064 la9 J X( ` 0hd8p@ $Ifgd^l E+ J X( ` 0hd8p@gd^kd$$Iflֈ H$t<<064 laz{֜$Ifgd^l / J X( ` 0hd8p@ ^ gd^+ J X( ` 0hd8p@gd^~rrC/ J X( ` 0hd8p@ ^ gd^+ J X( ` 0hd8p@gd^bkd$$IflL$%064 la~d5/ J X( ` 0hd8p@ ^ gd^bkd:$$Ifl1L$%064 la9 J X( ` 0hd8p@$Ifgd^l /_<$$ J X( ` 0hd8p@$Ifgd^l 6$$ J X( ` 0hd8p@x^`xgd^.$$ J X( ` 0hd8p@gd^/01Ayb h$Ifgd^l  h0^`0gd^ h0^`0gd^bkd$$IflL$%064 laȞvH.$ J X( ` 0hd8p@ !a$gd^& GX( ` 0hd8p@ !bkdJ$$Ifl^L$%064 laȞɞў؞XXXXC NH$ X( ` 0hd8p@ !$5$7$8$9DH$Ifgd^l 9 J X( ` 0hd8p@ !$Ifgd^l + J X( ` 0hd8p@ !gd^#/023ABD_`   )*58:PS]bnoܣݣqt߻ߝߙߝߝߙߝߙߙߝߙߝ߀ h`ih^ h^H* h^>*hLZh^>*h^h(fOh^56CJ h(fOh^hNh^B*ph"hNh^0JCCJhAh^56CJhjh^5 h^5 hjh^hjh^5aJ h^5aJhjh^aJ2#f----9 J X( ` 0hd8p@ !$Ifgd^l kd$$Ifl\ 7D%U] 0%64 la#0123A-kd$$Ifl\ 7D%U] 0%64 la9 J X( ` 0hd8p@ !$Ifgd^l ABC-kd`$$Ifl\ 7D%U] 0%64 la9 J X( ` 0hd8p@ !$Ifgd^l CD`   1bkd'$$IflD%%0%64 laB$Ifgd^l + J X( ` 0hd8p@ gd^. J X( ` 0hd8p@ dhgd^ QRS^Zbkd$$IflyD%%0%64 la X$Ifgd^l + J X( ` 0hd8p@ gd^^_`bd9+ J X( ` 0hd8p@ gd^bkd-$$IflCD%%0%64 la9 J X( ` 0hd8p@ $Ifgd^l bo֡HV]kd$$IflF$V%064 la$ & F?$Ifa$gd^l 3 J X( ` 0hd8p@ X^X`gd^>]kd8$$Ifl1$h%064 la9 J X( ` 0hd8p@ $Ifgd^l + J X( ` 0hd8p@ gd^ݣ &8=CKiaaaaaaaaaA$$$ & FK GX( ` 0hd8p@ $Ifa$gd^l 6$$ J X( ` 0hd8p@  8^ `8gd^& GX( ` 0hd8p@ ! iq#Wѥ1rA$$$ & FK GX( ` 0hd8p@ $Ifa$gd^l rsttI+ J X( ` 0hd8p@ gd^.$ J X( ` 0hd8p@ a$gd^]kd$$Ifl$V%064 lai>>+ J X( ` 0hd8p@ gd^]kdC$$Ifl$h%064 la9 J X( ` 0hd8p@ $Ifgd^l  9 J X( ` 0hd8p@ $Ifgd^l  Ekd$$Iflֈ H$t<<064 la+,-9 J X( ` 0hd8p@ $Ifgd^l +,?@PQ`abcg#$DEef}~";}%ORbլج.XZ\έڭۭݭޭ  `hNh^0JCCJhAh^56CJhjh^5 h^5hjh^aJhjh^5aJ h^5aJh^ h^>*h(fOh^56CJ h`ih^ hjh^>-.Ekd$$Iflֈ H$t<<064 la.>?@PQR9 J X( ` 0hd8p@ $Ifgd^l RSEkd$$Iflֈ H$t<<064 laS_`abcd9 J X( ` 0hd8p@ $Ifgd^l degE+ J X( ` 0hd8p@gd^kd$$Iflֈ H$t<<064 lag!"<}$Ifgd^l / J X( ` 0hd8p@ ^ gd^+ J X( ` 0hd8p@gd^%rrC/ J X( ` 0hd8p@ ^ gd^+ J X( ` 0hd8p@gd^bkd$$IflL$%064 la%PQRd5/ J X( ` 0hd8p@ ^ gd^bkd$$Ifl1L$%064 la9 J X( ` 0hd8p@$Ifgd^l Rc֬_<$$ J X( ` 0hd8p@$Ifgd^l 6$$ J X( ` 0hd8p@x^`xgd^.$$ J X( ` 0hd8p@gd^֬׬ج.Yyb h$Ifgd^l  h0^`0gd^ h0^`0gd^bkd$$IflL$%064 laYZ[ovH.$ J X( ` 0hd8p@ !a$gd^& GX( ` 0hd8p@ !bkd $$Ifl^L$%064 laopxXXXXC NH$ X( ` 0hd8p@ !$5$7$8$9DH$Ifgd^l 9 J X( ` 0hd8p@ !$Ifgd^l + J X( ` 0hd8p@ !gd^έf----9 J X( ` 0hd8p@ !$Ifgd^l kd$$Ifl\ 7D%U] 0%64 laέۭܭݭޭ-kdo$$Ifl\ 7D%U] 0%64 la9 J X( ` 0hd8p@ !$Ifgd^l -kd6$$Ifl\ 7D%U] 0%64 la9 J X( ` 0hd8p@ !$Ifgd^l  abd1bkd$$IflD%%0%64 laB$Ifgd^l + J X( ` 0hd8p@ gd^. J X( ` 0hd8p@ dhgd^`abdlmدۯx}԰հװ >?ilճֳ  "Aop˴̴޴ߴ !89ݵ8bex  澷 h^>* h`ih^ hNh^hNh^0JCCJ h^H*hyh^>*h^h(fOh^56CJ hjh^ h(fOh^hNh^B*ph"Cdmٯگۯ9bkd $$IflyD%%0%64 la9 J X( ` 0hd8p@ $Ifgd^l + J X( ` 0hd8p@ gd^yr?&$ & F?$Ifa$gd^l 3 J X( ` 0hd8p@ X^X`gd^+ J X( ` 0hd8p@ gd^bkd $$IflCD%%0%64 layz|}oDD+ J X( ` 0hd8p@ gd^3 J X( ` 0hd8p@ X^X`gd^]kd $$IflF$V%064 laհְװi>+ J X( ` 0hd8p@ gd^]kd $$Ifl1$h%064 la9 J X( ` 0hd8p@ $Ifgd^l װ7IQp~ȱ>$$ & FK GX( ` 0hd8p@ $Ifgd^l 6$$ J X( ` 0hd8p@  8^ `8gd^  ?tI+ J X( ` 0hd8p@ gd^.$ J X( ` 0hd8p@ a$gd^]kd $$Ifl$V%064 la?LXɲײ!Hj?$ & F J X( ` 0hd8p@ $Ifa$gd^l 9 J X( ` 0hd8p@ $Ifgd^l  jklww>>>>9 J X( ` 0hd8p@ $Ifgd^l + J X( ` 0hd8p@ gd^]kd $$Ifl$h%064 laȳ9 J X( ` 0hd8p@ $Ifgd^l ȳɳEkd $$Iflֈ H$t<<064 laɳԳճֳ9 J X( ` 0hd8p@ $Ifgd^l Ekd $$Iflֈ H$t<<064 la   9 J X( ` 0hd8p@ $Ifgd^l  Ekdv$$Iflֈ H$t<<064 la9 J X( ` 0hd8p@ $Ifgd^l  "E+ J X( ` 0hd8p@gd^kdq$$Iflֈ H$t<<064 la"Bܵݵ8c$Ifgd^l / J X( ` 0hd8p@ ^ gd^+ J X( ` 0hd8p@gd^cdeyrrC/ J X( ` 0hd8p@ ^ gd^+ J X( ` 0hd8p@gd^bkd^$$IflL$%064 la   d5/ J X( ` 0hd8p@ ^ gd^bkd$$Ifl1L$%064 la9 J X( ` 0hd8p@$Ifgd^l  f_<$$ J X( ` 0hd8p@$Ifgd^l 6$$ J X( ` 0hd8p@x^`xgd^.$$ J X( ` 0hd8p@gd^f:CDR[\mnoºƺκϺպٺں 6uƼzrk hh^hh^>*hth?h^>* hh^hgAh^B*phhgAh^6 hgAh^hAh^56CJhjh^5 h^5hxh^5aJhxh^5hjh^aJhjh^5aJh2Fh^5h(fOh^56CJh^ hjh^*yb h$Ifgd^l  h0^`0gd^ h0^`0gd^bkdn$$IflL$%064 la*vH.$ J X( ` 0hd8p@ !a$gd^& GX( ` 0hd8p@ !bkd$$Ifl^L$%064 la*+3:DLR\XXXXC NH$ X( ` 0hd8p@ !$5$7$8$9DH$Ifgd^l 9 J X( ` 0hd8p@ !$Ifgd^l + J X( ` 0hd8p@ !gd^\]gmof----9 J X( ` 0hd8p@ !$Ifgd^l kd~$$Ifl\ 7D%U] 0%64 la-kdE$$Ifl\ 7D%U] 0%64 la9 J X( ` 0hd8p@ !$Ifgd^l -kd $$Ifl\ 7D%U] 0%64 la9 J X( ` 0hd8p@ !$Ifgd^l úm9 J X( ` 0hd8p@ $Ifgd^l + J X( ` 0hd8p@ gd^. J X( ` 0hd8p@ dhgd^úĺƺϺ6rrW;h$*$If^h`gd^l h$If^h`gd^l + J X( ` 0hd8p@ gd^bkd$$IflD%%0%64 larr99 J X( ` 0hd8p@ $Ifgd^l + J X( ` 0hd8p@ gd^bkdV$$IflyD%%0%64 lar?&$ & F?$Ifa$gd^l 3 J X( ` 0hd8p@ X^X`gd^+ J X( ` 0hd8p@ gd^bkd$$IflCD%%0%64 la    ./()9:MN^_nopqu¿ÿ12RSst0I3]`pϽ h^>* h`ih^hh^H*#hh^5B*CJ\aJph"hh^5CJaJ hh^h^ hh^h(fOh^56CJ hjh^B ^^K$Ifgd^l + J X( ` 0hd8p@ gd^]kd\$$IflF$V%064 la$ & F?$Ifa$gd^l    /~wA&$ & FK$*$Ifa$gd^l 6$$ J X( ` 0hd8p@  8^ `8gd^+ J X( ` 0hd8p@ gd^]kd$$Ifl1$h%064 la~ӽ 08=F]j]kdg$$Ifl$V%064 la$ & FK$*$Ifa$gd^l m9 J X( ` 0hd8p@ $Ifgd^l + J X( ` 0hd8p@ gd^.$ J X( ` 0hd8p@ a$gd^ ww>>>>9 J X( ` 0hd8p@ $Ifgd^l + J X( ` 0hd8p@ gd^]kd$$Ifl$h%064 la 9 J X( ` 0hd8p@ $Ifgd^l Ekdr$$Iflֈ H$t<<064 la'()9:;9 J X( ` 0hd8p@ $Ifgd^l ;<Ekd_$$Iflֈ H$t<<064 la<LMN^_`9 J X( ` 0hd8p@ $Ifgd^l `aEkdL$$Iflֈ H$t<<064 laamnopqr9 J X( ` 0hd8p@ $Ifgd^l rsuE+ J X( ` 0hd8p@gd^kdG$$Iflֈ H$t<<064 lau/0J$Ifgd^l / J X( ` 0hd8p@ ^ gd^+ J X( ` 0hd8p@gd^3rrC/ J X( ` 0hd8p@ ^ gd^+ J X( ` 0hd8p@gd^bkd4$$IflL$%064 la3^_`d5/ J X( ` 0hd8p@ ^ gd^bkd$$Ifl1L$%064 la9 J X( ` 0hd8p@$Ifgd^l `q_<$$ J X( ` 0hd8p@$Ifgd^l 6$$ J X( ` 0hd8p@x^`xgd^.$$ J X( ` 0hd8p@gd^<gyb h$Ifgd^l  h0^`0gd^ h0^`0gd^bkdD$$IflL$%064 la<fhjUûzhh^5CJaJ h(fOh^hh^6 hh^h(fOh^56CJ h+'h^hAh^56CJhjh^5 h^5hh^5aJhh^5hjh^aJhjh^5aJh2Fh^5h^ hjh^)ghi}vH.$ J X( ` 0hd8p@ !a$gd^& GX( ` 0hd8p@ !bkd$$Ifl^L$%064 la}~XXXXC NH$ X( ` 0hd8p@ !$5$7$8$9DH$Ifgd^l 9 J X( ` 0hd8p@ !$Ifgd^l + J X( ` 0hd8p@ !gd^f----9 J X( ` 0hd8p@ !$Ifgd^l kdT$$Ifl\ 7D%U] 0%64 la-kd$$Ifl\ 7D%U] 0%64 la9 J X( ` 0hd8p@ !$Ifgd^l -kd$$Ifl\ 7D%U] 0%64 la9 J X( ` 0hd8p@ !$Ifgd^l m9 J X( ` 0hd8p@ $Ifgd^l + J X( ` 0hd8p@ gd^. J X( ` 0hd8p@ dhgd^rr[$7$8$H$Ifgd^l + J X( ` 0hd8p@ gd^bkd $$IflD%%0%64 larr99 J X( ` 0hd8p@ $Ifgd^l + J X( ` 0hd8p@ gd^bkd,!$$IflyD%%0%64 lar?3 J X( ` 0hd8p@ X^X`gd^+ J X( ` 0hd8p@ gd^bkd!$$IflCD%%0%64 laG7 & F?$Ifgd^l  $ & FKd$7$8$H$Ifa$gd^l  $ & FKd$7$8$H$Ifa$gd^l d$7$8$H$Ifgd^l Vwwd$Ifgd^l + J X( ` 0hd8p@ gd^]kd2"$$IflF$V%064 laUVWXz{/0@ATUefuvwx|%&89YZz{7P:dgwCmoq߾߾߾߾߾߾߹߹߹߹߹߹ߵߵߵߵߵ߭hjh^aJhjh^5aJh2Fh^5h^ h^>* h`ih^ h |Rh^ h(fOh^h(fOh^56CJ hjh^ hh^#hh^5B*CJ\aJph"*hNh^>*h^ hgAh^h(fOh^56CJ h+'h^hAh^56CJhjh^5 h^5 hjh^h;zh^5aJh;zh^5.f----9 J X( ` 0hd8p@ !$Ifgd^l kd**$$Ifl\ 7D%U] 0%64 la -kd*$$Ifl\ 7D%U] 0%64 la9 J X( ` 0hd8p@ !$Ifgd^l   -kd+$$Ifl\ 7D%U] 0%64 la9 J X( ` 0hd8p@ !$Ifgd^l +m9 J X( ` 0hd8p@ $Ifgd^l + J X( ` 0hd8p@ gd^. J X( ` 0hd8p@ dhgd^'MorrWWWh$If^h`gd^l + J X( ` 0hd8p@ gd^bkd,$$IflD%%0%64 laopq|}rr99 J X( ` 0hd8p@ $Ifgd^l + J X( ` 0hd8p@ gd^bkd-$$IflyD%%0%64 la}~r?,$Ifgd^l 3 J X( ` 0hd8p@ X^X`gd^+ J X( ` 0hd8p@ gd^bkd-$$IflCD%%0%64 laHTUVm^^K$Ifgd^l + J X( ` 0hd8p@ gd^]kd.$$IflF$V%064 la$ & F?$Ifa$gd^l TVlm  %&>?STop+,HIK'(789:>]<=TUĿĿĿĿĿĿĿĿĿĿĿķ h^>* h`ih^h;zh^5 h^5h^ h;zh^#h;zh^5B*CJ\aJph"h;zh^5CJaJh(fOh^56CJ hjh^C &wA($ & FK$Ifa$gd^l 6$$ J X( ` 0hd8p@  8^ `8gd^+ J X( ` 0hd8p@ gd^]kd.$$Ifl1$h%064 la&?Tp,IJ]kd/$$Ifl^$V%064 la$ & FK$Ifa$gd^l  JKm9 J X( ` 0hd8p@ $Ifgd^l + J X( ` 0hd8p@ gd^.$ J X( ` 0hd8p@ a$gd^ww>>>>9 J X( ` 0hd8p@ $Ifgd^l + J X( ` 0hd8p@ gd^]kd/$$Ifl$h%064 la9 J X( ` 0hd8p@ $Ifgd^l Ekd0$$Iflֈ H$t<<064 la9 J X( ` 0hd8p@ $Ifgd^l Ekd 1$$Iflֈ H$t<<064 la'()9 J X( ` 0hd8p@ $Ifgd^l )*Ekd1$$Iflֈ H$t<<064 la*6789:;9 J X( ` 0hd8p@ $Ifgd^l ;<>E+ J X( ` 0hd8p@gd^kd2$$Iflֈ H$t<<064 la>^T$Ifgd^l / J X( ` 0hd8p@ ^ gd^+ J X( ` 0hd8p@gd^T~&)9/13V`ao :BCEOT`aƼ hTuWh^ hh^hNh^>* h+'h^hAh^56CJhjh^5 h^5hTuWh^5aJhTuWh^5hjh^aJhjh^5aJh2Fh^5h(fOh^56CJh^ hjh^3rrC/ J X( ` 0hd8p@ ^ gd^+ J X( ` 0hd8p@gd^bkd3$$IflL$%064 la'()d5/ J X( ` 0hd8p@ ^ gd^bkdh4$$Ifl1L$%064 la9 J X( ` 0hd8p@$Ifgd^l ):_<$$ J X( ` 0hd8p@$Ifgd^l 6$$ J X( ` 0hd8p@x^`xgd^.$$ J X( ` 0hd8p@gd^0yb h$Ifgd^l  h0^`0gd^ h0^`0gd^bkd4$$IflL$%064 la012FvH.$ J X( ` 0hd8p@ !a$gd^& GX( ` 0hd8p@ !bkdx5$$Ifl^L$%064 laFGOVaioXXXXC NH$ X( ` 0hd8p@ !$5$7$8$9DH$Ifgd^l 9 J X( ` 0hd8p@ !$Ifgd^l + J X( ` 0hd8p@ !gd^f----9 J X( ` 0hd8p@ !$Ifgd^l kd6$$Ifl\ 7D%U] 0%64 la-kd6$$Ifl\ 7D%U] 0%64 la9 J X( ` 0hd8p@ !$Ifgd^l -kd7$$Ifl\ 7D%U] 0%64 la9 J X( ` 0hd8p@ !$Ifgd^l m9 J X( ` 0hd8p@ $Ifgd^l + J X( ` 0hd8p@ gd^. 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J X( ` 0hd8p@ dhgd^$9bkdD$$IflyD%%0%64 la9 J X( ` 0hd8p@ $Ifgd^l + J X( ` 0hd8p@ gd^r?&$ & F?$Ifa$gd^l 3 J X( ` 0hd8p@ X^X`gd^+ J X( ` 0hd8p@ gd^bkd1E$$IflCD%%0%64 laCyz{^^+ J X( ` 0hd8p@ gd^]kdE$$IflF$V%064 la$ & F?$Ifa$gd^l   i>+ J X( ` 0hd8p@ gd^]kd$$ & FK GX( ` 0hd8p@ $Ifgd^l ; & FK GX( ` 0hd8p@ $Ifgd^l  1 ABRSfgwx8;@ANOPorOhR|~Yǽǽhjh^5 h^5hjh^aJhjh^5aJ h^5aJ h=Jh^h=Jh^>* h^>* h`ih^h(fOh^56CJ hjh^h^BtI+ J X( ` 0hd8p@ gd^.$ J X( ` 0hd8p@ a$gd^]kdF$$Ifl$V%064 la!i>>+ J X( ` 0hd8p@ gd^]kdGG$$Ifl$h%064 la9 J X( ` 0hd8p@ $Ifgd^l !&+49 J X( ` 0hd8p@ $Ifgd^l 45EkdG$$Iflֈ H$t<<064 la5@ABRST9 J X( ` 0hd8p@ $Ifgd^l TUEkdH$$Iflֈ H$t<<064 laUefgwxy9 J X( ` 0hd8p@ $Ifgd^l yzEkdI$$Iflֈ H$t<<064 laz9 J X( ` 0hd8p@ $Ifgd^l E+ J X( ` 0hd8p@gd^kdJ$$Iflֈ H$t<<064 laNOi$Ifgd^l / J X( ` 0hd8p@ ^ gd^+ J X( ` 0hd8p@gd^RrrC/ J X( ` 0hd8p@ ^ gd^+ J X( ` 0hd8p@gd^bkdK$$IflL$%064 laR}~d6.$$ J X( ` 0hd8p@gd^bkdL$$Ifl1L$%064 la9 J X( ` 0hd8p@$Ifgd^l +bkdL$$IflL$%064 la<$$ J X( ` 0hd8p@$Ifgd^l 6$$ J X( ` 0hd8p@x^`xgd^Yb77+ J X( ` 0hd8p@ !gd^bkd$M$$Ifl^L$%064 la h$Ifgd^l  h0^`0gd^ h0^`0gd^C NH$ X( ` 0hd8p@ !$5$7$8$9DH$Ifgd^l 9 J X( ` 0hd8p@ !$Ifgd^l f----9 J X( ` 0hd8p@ !$Ifgd^l kdM$$Ifl\ 7D%U] 0%64 la  -kdsN$$Ifl\ 7D%U] 0%64 la9 J X( ` 0hd8p@ !$Ifgd^l   67   Cortu}1467?n~!Spsuv~𴰴h\vh^5h\vh^H*h\vh^6h\vh^>*h^ h\vh^h(fOh^56CJ h'h^hNh^B*ph"hNh^0J@CJhAh^56CJ hjh^hjh^58-kd:O$$Ifl\ 7D%U] 0%64 la9 J X( ` 0hd8p@ !$Ifgd^l 71bkdP$$IflD%%0%64 laB$Ifgd^l + J X( ` 0hd8p@ gd^. 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& Finance And CFO Dean College of Engineering and Computer Science Information Systems Group Center for Research and Services Office of Development and Public Relations Department of Mechanical Engineering Department of Manufacturing Systems Engineering and Management Department of Electrical and Computer Engineering Department Forms Assessment Committee for Current Year Department of Civil Engineering and Applied Mechanics Student Services Center Associate Dean Engineering Shops Manager of Academic Resources Department Reviews Recommendations, and Makes Changes for Program Improvement February January Assessment Areas Analyze Results of Assessments, and Make Recommendations for Program Improvement May - December Department Approves Assessment Plans, and Program Areas Conduct Assessment Activities Department Approves Assessment Goals for Current Year, and Program Areas Prepare Assessment Plans Assessment Committee Recommends Program Learning Outcomes to be Formally Assessed April March 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