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N: School of Computer Science  MSC CoMPUTER SCIENCE MODULES FOR 2011-2012 Autumn Semester ModuleModule CodeLevelIntroduction to Network CommunicationsG64INC4Database SystemsG64DBS4Introduction to Computer ProgrammingG64ICP4Introduction to Human Computer InteractionG54IHC4Operations Research and ModellingG54ORM4Advanced Computer CommunicationsG54ACC4Simulation for Computer ScientistsG54SIM4ProgrammingG54PRG4System and Network AdministrationG54ADM4Computer VisionG53VIS3Software Quality ManagementG53SQM3Introduction to Image ProcessingG52IIP2Algorithms and Data StructuresG52ADS2Application ProgrammingG52APR2 Spring Semester ModuleModule CodeLevelSoftware EngineeringG64SWE4Object Oriented SystemsG64OOS4Foundations of Artificial IntelligenceG64FAI4Software Project ManagementG64SPM4Management of Information TechnologyG64MIT4Parallel and Distributed ComputingG54PDC4Methods for Understanding Users in CSG54MET4New Media DesignG53NMD3Enterprise Level ComputingG53ELC3Computer SecurityG53SEC3C++ ProgrammingG52CPP2 Summer Semester ModuleModule CodeLevelComputer Science Technology Transfer ProjectG64PRE4Project in Information TechnologyG64PIT4Project in the Management of Information Tech.G64PMI4 MODULE OUTLINE AUTUMN 2011-2012 Module Code G64INC Title of Module Introduction to Network Communications Number of credits 10 Level 4 Taught Semester and Assessment Period SemesterAssessmentAutumnAssessed by end of Autumn Semester Pre-requisites for admission to the module (if any) None Co-requisites for the module (if any) None Lecturer Mr. Ho Sooi Hock Contact No:03-8924-8145Room No:BB71E-mail: ho.sooi-hock@nottingham.edu.my Summary of Content This module aims to: present a broad overview of computer communications and networks provide an overview of underlying technologies including data transmission techniques, Local Area Networks, Wide Area Networks, internetworking and network applications. Give students an understanding of the Internet environment and the TCP/IP protocols. Learning Outcomes Knowledge and Understanding An understanding of the principle technologies in computer networking. Intellectual Skills The ability to understand complex ideas and relate them to specific situations. Professional Skills The ability to understand, evaluate and select appropriate network designs and protocols. Weekly Programme Week NoLecture Topics1 - 3Part 1: Data Transmission 1. Introduction, Transmission media 2. Local asynchronous communication and RS-232 3. Long distance communication (carriers and modems)4 - 7Part 2: Packet Transmission 5. Packets, frames and error detection 6. Local Area Networks 7. Hardware addressing and frame types 8. LAN wiring and physical topology 9. Extending LANs 10.WAN technologies and routing 11. Ownership, service and performance8 - 10Part 3: Internetworking 12. Protocols and layering 13. Internetworking - concepts 14. IP addressing 15. IP datagrams 16. Future IP 17. Transport Control Protocol (TCP) 11-12Part 4: Applications 18. Client-Server Interaction 19. The Socket API 20. Example applications 21. Revision Assessment details Written Examination 100% Resources Suggested primary texts NoName of Author(s)Year of PublicationTitle of BookEditionPublishers NameISBN1Douglas E. Comer2008Computer Networks and Internets5th Prentice Hall0136061273 Suggested secondary texts NoName of Author(s)Year of PublicationTitle of BookEditionPublishers NameISBN1 2Tanenbaum & Wetherall Forouzan 2011 2007Computer Networks Data Communications and Networking 5th 4thPrentice Hall McGraw- Hill 0132126958 0072967757 Web Link  HYPERLINK "http://sepang.nottingham.edu.my/~hsooihock" http://sepang.nottingham.edu.my/~hsooihock Module Code G64DBS Title of Module Database Systems Number of credits 10 Level 1 Taught Semester and Assessment Period SemesterAssessmentAutumnAssessed by end of Autumn Semester Pre-requisites for admission to the module (if any) None Co-requisites for the module (if any) None Lecturer TBA Contact No:TBARoom No:TBAE-mail: TBA Summary of Content The module introduces database management systems, the design and use of database systems. The relational database model and the structured database query language (SQL) are covered. Throughout the module students are given instruction in the use of a relational database management system. Topics covered include: the relational model; entity-relationship modelling, SQL data definitions and select, normalisation, efficiency, transactions and database security. Learning Outcomes Knowledge and Understanding Ability to use SQL and an understanding of embedded SQL. Understanding of the ANSI/SPARC and relational models of database systems. Intellectual Skills Basic knowledge of the mathematics underlying relational database systems. Ability to design database systems. Professional Skills The use of SQL for database specification and manipulation. Database administration, including integrity and security control. Transferable Skills: Understanding of the application of database systems. 11. Weekly Programme Week NoLecture Topics1Introduction to Database Systems, The Relational Model2Entity Relationship Modelling3SQL Data Definition4SQL SELECT 5More SQL SELECT6SQL and Java7Normalization to 3NF and BCNF8Efficiency Issues9Transactions and Recovery, Concurrency10More Concurrency, Security and Integrity11Good and Bad Modern Databases12Revision Assessment details Coursework 25%; Written Examination 75% Resources Suggested primary texts NoName of Author(s)Year of PublicationTitle of BookEditionPublishers NameISBN1Thomas Connolly and Carolyn Begg,2005Database Systems - A Practical Approach to Design, Implementation, and Management3rd or 4th ed.Addison-Wesley0321210255 Suggested secondary texts NoName of Author(s)Year of PublicationTitle of BookEditionPublishers NameISBN1 2. 3.R Elmasri and SB Navathe, A. Silberschatz, H. F. Korth, and S. Sudarshan, Peter Rob, Carlos Coronel 2004 2002 2007Fundamentals of Database Systems, Database System Concepts, Database System3rd or 4th ed. 4th ed. 7th ed.Addison-Wesley, McGraw-Hill Course Technology0321204484 0072283637 1418836508 Web Link TBA Module Code G54IHC Title of Module Introduction to Human Computer Interaction Number of credits 10 Level 4 Taught Semester and Assessment Period SemesterAssessmentAutumnAssessed by end of Autumn Semester Pre-requisites for admission to the module (if any) None Co-requisites for the module (if any) None Lecturer (Ms) Lyn Fiona Kiai Contact No:03-8924-TBARoom No:TBAE-mail: TBA@nottingham.edu.my Summary of Content This module provides an introduction to the foundations of human-computer interaction (HCI). The course will address the theoretical foundations of HCI, the relevance of users to the design process, user interface design (input/output technologies, interaction styles/paradigms, user support etc.), prototyping techniques, and user evaluation. Learning Outcomes Knowledge and Understanding The relevance and importance of considering the human in the design and implementation of IT products/systems. The issues involved and methods needed to design and evaluate technologies from a user-centred perspective. An awareness of the wider socio-cultural and contextual issues which affect the design of technology. Intellectual Skills The application of relevant theories and knowledge of human capabilities and limitations to the design of IT systems. A critical understanding of the key role of the user in systems design. Professional Skills Knowledge of Lo-fi interface prototyping methods and interface evaluation, as well as application of user interface standards. Transferable Skills Team work, critical thinking, oral and written communication. Weekly Programme Week NoLecture Topic1Introduction, overview and module contents 2Human computer interaction in general3HCI education 4User interface development - general5User interface design principles and guidelines 6Requirements specifications7Designing GUIs8Participatory design and prototyping 9Evaluating interfaces10Guidelines for specific platforms 11Revision and discussion of past exam papersl Assessment details Two Courseworks each worth 30%; Written examination 40% Resources Suggested primary texts NoName of Author(s)Year of PublicationTitle of BookEditionPublishers NameISBN1Helen Sharp, Yvonne Rogers & Jenny Preece2007Interaction Design: Beyond Human Computer Interaction2nd Wiley0470018666 Suggested secondary texts NoName of Author(s)Year of PublicationTitle of BookEditionPublishers NameISBN1Ben Schneiderman & Catherine Plaisant2010Designing the User Interface : Strategies for Effective Human-Computer Interaction5th Addison-Wesley0321537351 Web Link TBA Module Code G54ORM Title of Module Operations Research and Modelling Number of credits 10 Level 4 Taught Semester and Assessment Period SemesterAssessmentAutumnAssessed by end of Autumn Semester Pre-requisites for admission to the module (if any) Knowledge of algorithm basics, data structures and some computer programming. Knowledge of the basics of: linear algebra and calculus is desirable. Co-requisites for the module (if any) None Lecturer Dr. Siang Yew Chong Contact No:03-89248148Room No:BB57E-mail: Siang-Yew.Chong@nottingham.edu.my Summary of Content This module: Covers a range of operations research techniques (emphasis here is on learning modelling techniques) in order to tackle a range of real-world problems. Operations research (OR) is a discipline that uses modelling techniques, analytics and computational methods to solve complex problems in industry and business with the aim of helping to make better decisions. Includes Linear Programming, Modelling and Optimisation Software, Post-optimality Analysis, Integer Programming, Modelling Techniques, Combinatorial Optimisation, Solving Large IP Models and Dynamic Programming. Provides a sound understanding to interpret and create formal models of optimisation problems and then to develop computer-based solutions by means of spreadsheets and programming style systems. Techniques are explained using numerical examples and their application is illustrated using a number of case studies and software tools. Learning Outcomes Knowledge and Understanding The strengths and weaknesses of computer tools, applications and other resources. Applied mathematics and formal methods in the computer science context. Intellectual Skills Apply and deploy mathematical ability, practices and tools. Understand complex ideas and relate them to specific problems or questions Professional Skills Program in various paradigms. Evaluate available tools, applications, algorithms and data structures, and select those that are fit for purpose within a given domain. Transferable Skills Utilise mathematics to volve problems. Weekly Programme Week NoLecture Topic1Introduction to OR.2Linear Programming.3Modelling and Optimisation Software. 4Post-optimality Analysis.5Integer Programming.6Modelling Techniques 1.7Modelling Techniques 2.8Combinatorial Optimisation. 9Solving Large IP Models.10Dynamic Programming. 11Revision and Coursework Discussion. Assessment details Written Examination 60%, Coursework 40% Resources Suggested primary texts NoName of Author(s)Year of PublicationTitle of BookEditionPublishers NameISBN1Frederick S. Hillier & Gerald J. Lieberman2009Introduction to Operations Research9th McGraw-Hill978-0-077-29834-02H. P. Williams1999Model Building in Mathematical Programming4thWiley978-0-471-99788-7 Suggested secondary texts *None* Web Link  HYPERLINK "http://baggins.nottingham.edu.my/~khczcsy/G54ORM/G54ORM.html" http://baggins.nottingham.edu.my/~khczcsy/G54ORM/G54ORM.html Module Code G54ACC Title of Module Advanced Computer Communications Number of credits 10 Level 4 Semester in which module is taught and Assessment Period SemesterAssessmentAutumnAssessed by end of Autumn Semester Pre-requisites for admission to the module (if any) G52CCN or equivalent knowledge of computer networking Co-requisites for the module (if any) None Lecturer Ho Sooi Hock (Mr) Contact No:03-89248145Room No:BB71E-mail: ho.sooi-hock@nottingham.edu.my Summary of Content The course gives a basic understanding of network-related initialization and the operation of the main Internet protocols. It gives an insight into the service definition and protocols of the most important network applications services. It considers basic network architectures such as the client-server model and the more complex distributed systems. Consistent examples from all-IP core telecommunications networks are used to illustrate transmission coding, error control, media access, routing, presentation coding, services and security. Introduction to technologies includes switch and router design, network processors, and encryption. Learning Outcomes Knowledge and Understanding understanding of distributed systems concepts and issues, including DNS, WWW/HTTP and network security issues. a grasp of basic client-server system implementation techniques Intellectual Skills the ability to understand and evaluate requirements of and practical constraints on designing distributed systems and protocols (using RMI and socket-based communication) Professional Skills the ability to evaluate and choose between possible distribution technologies (e.g. RMI, TCP sockets) the ability to understand and reason about security weaknesses and limitations of possible solutions in networked computer systems Transferable Skills the ability to structure and communicate ideas effectively Weekly Programme Week NoLecture Topic1Introduction, overview and module contents2Review of TCP and IP functions; IP subnetting and supernetting3Problem of IP address exhaustion; Network auto-configuration4Transport layer protocol and socket programming5UDP/TCP comparison; Remote Procedure Call6Remote Method Invocations7IP multicast8Distributed Systems and domain name services9P2P systems10Firewalls11Revision12Review Past Year Papers Assessment details Written Examination 100% Resources Suggested primary texts NoName of Author(s)Year of PublicationTitle of BookEditionPublishers NameISBN1Kurose & Ross2008Computer Networking: A Top Down Approach Featuring the Internet4th Addison-Wesley0-321-49770-8 Suggested secondary texts NoName of Author(s)Year of PublicationTitle of BookEditionPublishers NameISBN1Tannenbaum2003Computer Networks4th Prentice Hall0-13-038488-73Comer2004Computer Networks and Internets4th Prentice Hall0-13-123627-X Web Link  HYPERLINK "http://sepang.nottingham.edu.my/~hsooihock/G54ACC/index.html" http://sepang.nottingham.edu.my/~hsooihock/G54ACC/index.html Module Code G54SIM Title of Module Simulation for Computer Scientists Number of credits 10 Level 4 Taught Semester and Assessment Period SemesterAssessmentAutumnAssessed by end of Autumn Semester Pre-requisites for admission to the module (if any) None Co-requisites for the module (if any) None Lecturer Chen Zhi Yuan (Dr) Contact No:03-89248141Room No:BB59E-mail: eyx6czy@nottingham.edu.my Summary of Content Computational Simulation of systems is becoming increasingly common due to the recent improvements of speed and memory in computer hardware allowing simulation of realistic systems. System simulation can help to understand the processes currently in place and show the consequences of changes to these processes over time. Successful case studies of simulation include manufacturing, financial system, retail and more recently other areas of the service sector. Three broad simulation paradigms exist: System Dynamics, Agent-based and Discrete Event. This module will explain each of them in detail so that students will be competent in choosing and implementing the right method for their particular problem. Learning Outcomes Knowledge and Understanding Understanding the capabilities, strengths and limitations of simulation methods An appreciation of different simulation techniques Intellectual Skills The ability to understand complex ideas and relate them to specific situations Professional Skills The ability to implement selected simulation methods for real world applications The ability to evaluate simulation techniques and select those appropriate to a given task Transferable Skills The ability to address real problems and assess the value of their proposed solutions The ability to retrieve and analyse information from a variety of sources and produce detailed written reports on the result Weekly Programme Week NoLecture Topic1Introduction to Modelling and Simulation2Simulation Studies: An Overview3Guest Lecture: Case Study14Guest Lecture: Case Study25Simulation Methods: System Dynamics Simulation6Simulation Methods: Discrete Event Simulation7Simulation Methods: Agent-Based Simulation8Conceptual Modelling9Input Modelling10Model Testing (Verification and Validation) + Experiment Preparation (Part 1)11Experiment Preparation (Part 2) + Experimentation + Output Analysis12Application of Simulation in the Real World Assessment details Written Examination 60% Course Work 40% Resources Suggested primary texts NoName of Author(s)Year of PublicationTitle of BookEditionPublishers NameISBN1Stewart Robinson2004Simulation: The Practice of Model Development and Use Wiley, Chichester, UK97804708477252John Sterman 2000Business Dynamics: Systems Thinking and Modelling for a Complex WorldMcGraw-Hill Higher Education00723113553Gilbert N and Troitzsch KG2005Simulation for the Social Scientist.2nd Open University Press0335216013 Suggested secondary texts Not Available Web Link TBA Module Code G53VIS Title of Module Computer Vision Number of credits 10 Level 3 Taught Semester and Assessment Period SemesterAssessmentAutumnAssessed by end of Autumn Semester Pre-requisites for admission to the module (if any) Compulsory: G51OOP Object-Oriented Programming (G51PRG 2009/10) Recommended: G52IIP - Introduction to Image Processing (G52IVG 2009/10). Background knowledge of vision and image processing are an advantage. Co-requisites for the module (if any) None Lecturer Tomas Maul (Dr) Contact No:03-89248232Room No:BB64E-mail: Tomas.Maul@nottingham.edu.my Summary of Content Building on G52IIP this module examines current techniques for the extraction of useful information about a physical situation from individual and sets of images. Particular emphasis is placed on the identification of objects, recovery of three-dimensional shape & motion, and the recognition of events. Topics covered include: advanced segmentation and feature extraction, motion computation and tracking, stereo vision and the use of hidden Markov models in higher level analysis. Learning Outcomes Knowledge and Understanding Experience in implementing image processing and vision algorithms. Understanding of current techniques in image processing and computer vision and an awareness of their limitations. An appreciation of the underlying mathematical principles of computer vision. Intellectual Skills Apply knowledge of computer vision techniques to particular tasks. Evaluate and compare competing approaches to vision tasks. Professional Skills Develop a working knowledge of image processing algorithms and libraries and evaluate the applicability of various algorithms and operators to particular tasks. Transferable Skills Apply knowledge of the methods and approaches presented to problem domains use the available resources (libraries, internet, etc) to supplement the course material. Weekly Programme WeekLecture Topic1Introduction2Segmentation as Clustering. Region-based Segmentation.3Watersheds. The EM Algorithm.4Binocular Stereo. Camera Calibration.5Stereo Correspondence. Motion Analysis and Optic Flow.6Computing Optic Flow. Issues in Optic Flow.7Evaluation: Optic flow and segmentation. Introduction to Tracking.8The Kalman Filter. Snakes.9Particle Filters and Condensation.10Event Detection and Hidden Markov Models.11Revision. Assessment details Coursework 40%; Written Examination 60% Resources Suggested primary texts None. Suggested secondary texts NoName of Author(s)Year of PublicationTitle of BookEditionPublishers NameISBN1David A. Forsyth & Jean Ponce2002Computer Vision: A Modern Approach1stPrentice Hall01308519812E. R. Davies2005Machine Vision: Theory, Algorithms, Practicalities3rdMorgan Kaufmann0122060938 Web Link  HYPERLINK "http://baggins.nottingham.edu.my/~kcztm/TeachG53VIS.html" http://baggins.nottingham.edu.my/~kcztm/TeachG53VIS.html Module Code G53SQM Title of Module Software Quality Management Number of credits 10 Level 3 Taught Semester and Assessment Period SemesterAssessmentAutumnAssessed by end of Autumn Semester Pre-requisites for admission to the module (if any) G51FSE Foundations of Software Engineering Co-requisites for the module (if any) None Lecturer Chew Sze-Ker (Mr) Contact No:03-89248140Room No:BB72E-mail: chew.sze-ker@nottingham.edu.my Summary of Content This module is part of the Software Engineering theme in the School of Computer Science. Computer software is present almost everywhere. The impact of software failure is often quite considerably so reliability and robustness is paramount when developing software. The importance of effective testing methodologies for quality assurance in the software industry has increased substantially in recent years. This module introduces: Concepts and techniques for testing software and assuring its quality. Methods for software testing and quality assurance are integrated into all phases of the software development process and it also extends to other aspects such as systems and hardware development. Learning Outcomes Knowledge and Understanding Knowledge and understanding of evaluation and testing of software systems. Intellectual Skills Ability to use formal methods of software analysis. Professional Skills Ability to test software in a systematic way and carry out quality assurance process, experience of using specialised testing software. Transferable Skills Abstract thinking, systematic approach to problem solving. Weekly Programme Week NoLecture Topic1Introduction to SQA/Software Quality Factors2Components of SQA Systems3Pre-project Software Quality/Integrating quality Activities4Software Reviews5Software Testing Strategies/Implementation6Software Quality Metrics7The Function Point Method8Presentation9Presentation10Presentation11Revision and discussion  Assessment details 60% Written examination open questions style 40% Courseworks include reports/assignments/presentation Resources Suggested primary texts NoName of Author(s)Year of PublicationTitle of BookEditionPublishers NameISBN1Malik Kamna2006Software Quality: a practitioners approach1st McGraw Hill0-070-24873-7 Suggested secondary texts NoName of Author(s)Year of PublicationTitle of BookEditionPublishers NameISBN1Tian Jeff 2005Software Quality Engineering: testing, quality assurance and quantifiable improvement 1st Wiley0-013-06428-2 Web Link http://moodle.nottingham.ac.uk Module Code G52IIP Title of Module Introduction to Image Processing Number of credits 10 Level 2 Taught Semester and Assessment Period SemesterAssessmentSpringAssessed by end of Spring Semester Pre-requisites for admission to the module (if any) G51MCS Mathematics for Computer Scientists G51PRG Programming Co-requisites for the module (if any) None Lecturer Ho Sooi Hock (Mr) Contact No:03-89248145Room No:BB71E-mail: ho.sooi-hock@nottingham.edu.my Summary of Content This module includes the following topics: an overview of image processing and its applications, relations between image processing and other closely related fields such as computer vision, computer graphics, image analysis and digital photography fundamentals of digital images, elements of visual perception and human visual system, fundamentals of image formation and digital image acquisition digital image processing theory and practice, including point processing, spatial filtering, image transforms and frequency domain processing, edge detection, image segmentation, fundamentals of image coding and compression colour and colour imaging fundamentals, colour models and colour image processing emerging digital imaging technologies including high dynamic range photography and computational photography Learning Outcomes Knowledge and Understanding Experience implementing programs that manipulate images Awareness of limitations and appreciating the underlying mathematical principles Intellectual Skills Apply knowledge of vision and image processing techniques to particular tasks Professional Skills Develop a working knowledge of image processing algorithms and libraries Evaluate the applicability of various algorithms and operators to different tasks Transferable Skills Address real problems and assess the value of their proposed solutions Retrieve and analyse information from a variety of sources and produce detailed written reports on the result Weekly Programme Week NoLecture Topic1Introduction, overview and module contents 2Digital image fundamentals3Point and histogram processing 4Spatial domain image filtering5Image sharpening, edge detection and Hough transform6Image filtering in the frequency domain7Colour model and colour image processing8Image segmentation 9Image coding and image compression103D transformation 11Revision and discussion of past exam papersl Assessment details Coursework 25%; Written Examination 75% Resources Suggested primary texts NoName of Author(s)Year of PublicationTitle of BookEditionPublishers NameISBN1Gonzalez & Woods2008Digital Image Processing3rd Prentice Hall0-13-168728-X Suggested secondary texts NoName of Author(s)Year of PublicationTitle of BookEditionPublishers NameISBN1Efford2000Digital Image Processing Using Java1st Addison-Wesley0-20-159623-7 Web Link  HYPERLINK "http://sepang.nottingham.edu.my/~hsooihock/G52IIP/index.html" http://sepang.nottingham.edu.my/~hsooihock/G52IIP/index.html Module Code G52ADS Title of Module Algorithms and Data Structures Number of credits 10 Level 2 Taught Semester and Assessment Period SemesterAssessmentAutumnAssessed by end of Autumn Semester Pre-requisites for admission to the module (if any) G51MCS Mathematics for Computer Scientists; G51OOP Object-Oriented Programming (G51PRG 2009/10) Co-requisites for the module (if any) None Lecturer Chew Sze-Ker (Mr) Contact No:03-89248140Room No:BB72E-mail: Chew.sze-ker@nottingham.edu.my Summary of Content This module introduces the basics of specifying abstract data types and using them to design programs. Commonly used data structures and algorithms are studied in depth. The emphasis is made on choosing data structures and algorithms appropriate for solving a given problem. It presents the mathematical analysis of time and space usage of algorithms using the big-Oh notation. Such mathematical analysis is then used to support algorithm design decisions. It presents the usage of pre/post conditions and loop invariants to aid in the design and implementation of algorithms. Specific algorithms and data structures may include, but are not limited to: stacks, queues and lists; trees and tree traversal methods; heaps, search trees; graph problems and graph algorithms such as shortest paths and minimum spanning trees. Learning Outcomes Knowledge and Understanding The theory and practice of implementing algorithms; to know of and understand the mathematical properties of algorithms. Intellectual Skills Ability to apply mathematical techniques to algorithms and data structures and understand the their specifications Professional Skills Implementation of data structures and algorithms; evaluation and selection of available tools, applications, algorithms and data structures that are suitable for a given domain/scenario. Transferable Skills The ability to solve problems using a variety of data structures and algorithms; to utilise mathematical techniques when necessary to achieve the above Weekly Programme Week NoLecture Topic1Introduction, overview and module contents 2Algorithms and analysis, data structures/abstract data types; Sorting methods I: bubble sort, selection sort and insertion sort3Sorting methods II: merge sort and quick sort; Stacks 4Queues; Recursion5Linked list (single and double ended); Graph, DFS and BFS6Shortest path algorithms, minimum spanning tree7Topological sort; Hash table8Heaps, heap sort, priority queue 9Tree, tree traversal; Binary search tree, balanced binary search tree part 1 (AVL tree)10Balanced binary search tree part 2 (Red black tree); Multi-way tree (2,3) and (2,3,4) trees 11Revision and discussion of past exam papers Assessment details Coursework 1 15%; Coursework 2 10%; Written Examination 75% Resources Suggested primary texts NoName of Author(s)Year of PublicationTitle of BookEditionPublishers NameISBN1Michael T.Goodrich and Roberto TamassiaData Structures and Algorithms in Java 3rd  Suggested secondary texts NoName of Author(s)Year of PublicationTitle of BookEditionPublishers NameISBN1 2 3 Shaffer, Clifford A. Sahni, Sartaj Introduction to algorithms A practical introduction to data structures and algorithm analysis Data structures, algorithms, and applications in Java2nd MIT Press Prentice Hall McGraw-Hill Web Link To be provided by the module convenor. Module Code G52APR Title of Module Application Programming Number of credits 10 Level 2 Taught Semester and Assessment Period SemesterAssessmentAutumnAssessed by end of Autumn Semester Pre-requisites for admission to the module (if any) G51OOP Object-Oriented Programming; (G51PRG 2009/10) Co-requisites for the module (if any) None Lecturer Michael Chung (Mr) Contact No:03-89248142Room No:BB58E-mail: michael.chung@nottingham.edu.my Summary of Content Builds on basic programming knowledge by showing how applications can be built through the use of various example Java APIs including: GUI programming, threads, networking, data processing, etc. Where appropriate, the underlying design patterns behind the APIs will be illuminated. Learning Outcomes Knowledge and Understanding Further understanding of the theory and practice of object-oriented programming. Intellectual Skills Understand and logically evaluate program requirements and specifictions. Understand the complex ideas of programming solutions and relate them to particular problems. Professional Skills The ability to design and write object-oriented programs in Java. Transferable Skills The ability to solve problems using object-oriented techniques, to schedule and present their work and to retrieve additional learning material Weekly Programme Week NoLecture Topic1Introduction, overview and module contents 2GUI Components I3GUI Components II4Multithreading 5Networking6Coursework Discussion7Accessing Databases with JDBC8Web Applications I9Web Applications II10Design Patterns11Revision and discussion of past exam papers Assessment details Coursework 1 25%; Coursework 2 25%; Written Examination 50% Resources Suggested primary texts NoName of Author(s)Year of PublicationTitle of BookEditionPublishers NameISBN1Deitel & Deitel2007Java How to Program7thPearson0136132472  Suggested secondary texts Not Available Web Link http://baggins.nottingham.edu.my/~kczmc/Teaching/G52APR/ MODULE OUTLINE SPRING 2011-2012 Module Code G64SWE Title of Module Software Engineering Number of credits 10 Level 4 Taught Semester and Assessment Period SemesterAssessmentSpringAssessed by end of Spring Semester Pre-requisites for admission to the module (if any) Experience of Computer Programming Co-requisites for the module (if any) None Lecturer Dr. VP Kallimani & Mr. Chew Sze-Ker Contact No:03-89248141 & 03-89248140Room No:BB59 & BB72E-mail: vp.kallimani@nottingham.edu.my & chew.sze-ker@nottingham.edu.my Summary of Content This module covers object-oriented methods for requirements engineering and software design and application of these methods during the development of a medium scale software system. Experience of team working to break down a problem into a set of manageable tasks. Instruction in industrial notations to model and reason about software behavior and application of these methods to software development and documentation. Learning Outcomes Knowledge and Understanding * Programming * Instruction in Unified Modelling Language for determining system requirements * Documentation and help systems * Awareness of various software architectures for use in system and network design. Intellectual Skills * understanding and evaluating requirements specifications * working in team on complex software engineering problems. Professional Skills * Programming utilising software engineering methods * Evaluating software design tools * Identifying usability issues in software design. Transferable Skills * Solving software design problems * Working in team and organizing activities using formal techniques *Writing software manuals * Retrieving information on software design practices Weekly Programme Not Available Assessment details Coursework 100% Resources Suggested primary texts Not Available Suggested secondary texts Not Available Web Link To be provided by the module convenors Module Code G64FAI Title of Module Foundations of Artificial Intelligence Number of credits 10 Level 4 Taught Semester and Assessment Period SemesterAssessmentSpringAssessed by end of Spring Semester Pre-requisites for admission to the module (if any) None Co-requisites for the module (if any) None Lecturer Ho Sooi Hock (Mr) Contact No:03-89248145Room No:BB71E-mail: ho.sooi-hock@nottingham.edu.my Summary of Content This module aims to: give a broad overview of the fundamental theories and techniques of Artificial Intelligence provide the student with the necessary knowledge to allow them to implement common AI search techniques knowledge representation and reasoning and expert systems genetic algorithms and machine learning Learning Outcomes Knowledge and Understanding Knowledge of key AI techniques and their implementation Intellectual Skills The ability to think independently while giving due weight to the arguments of others. The ability to analyse algorithms Professional Skills The ability to evaluate available AI techniques and select those appropriate to a given problem Transferable Skills The ability to solve problems and communicate effectively in writing Weekly Programme Week NoLecture Topic1Introduction, overview and module contents 2Problem states and spaces3Search methods 4Genetic algorithms I5Genetic algorithms II6Neural networks7Data mining8Knowledge representation9Reasoning10Expert systems and game playing 11Revision and discussion of past exam papers Assessment details Written Examination 100% Resources Suggested primary texts NoName of Author(s)Year of PublicationTitle of BookEditionPublishers NameISBN1Stuart J. Russell & Peter Norvig2010Artificial Intelligence :A Modern Approach3rd Prentice Hall0-13-604259-7  Suggested secondary texts NoName of Author(s)Year of PublicationTitle of BookEditionPublishers NameISBN1George F Luger 2008Artificial Intelligence:Structures and strategies for Complex Problem Solving 6th Addison Wesley0-321-54589-3 Web Link  HYPERLINK "http://sepang.nottingham.edu.my/~hsooihock/G64FAI/index.html" http://sepang.nottingham.edu.my/~hsooihock/G64FAI/index.html Module Code G64SPM Title of Module Software Project Management Number of credits 10 Level 4 Taught Semester and Assessment Period SemesterAssessmentSpringAssessed by end of Spring Semester Pre-requisites for admission to the module (if any) G54PRG Programming Co-requisites for the module (if any) None Lecturer Chew Sze-Ker (Mr) Contact No:03-89248140Room No:BB72E-mail: chew.sze-ker@nottingham.edu.my Summary of Content This module is part of the Software Engineering theme in the School of Computer Science. This course considers the activities which are required, and the tools which are available, to manage commercial software development projects. Systems analysis is presented as a way of gathering and structuring information such that the required specification corresponds closely to the users' requirements. Systems design is then presented as a technique for transforming the specification to a form in which it can be implemented. Real case studies will be used to illustrate many of the tools and techniques introduced. Learning Outcomes Knowledge and Understanding Knowledge of the practice of constructing large systems and managing the process of construction. Understanding of the strengths and weaknesses of system specification, design and implementation tools and resources Intellectual Skills The ability to effectively analyse requirements for a range of systems, using appropriate tools and techniques. Professional Skills The ability to work effectively and ethically with users Transferable Skills The ability to solve hardware/software analysis problems and write detailed reports on the solutions adopted Weekly Programme Week NoLecture Topic1Introduction to SPM2Business problems and models3Project planning4Resource planning5Project scheduling with uncertain activities durations6Simulation7Structured system analysis and design method and data flow diagrams8Project investment9Uncertainty in decisions handling10Structure decision problems using decision trees Assessment details 50% Written examination 50% Courseworks Resources Suggested primary texts NoName of Author(s)Year of PublicationTitle of BookEditionPublishers NameISBN1Anderson, David et al2011An introduction to management science: quantitative approaches to decision making13thCengage Learning1-439-04327-2 Suggested secondary texts NoName of Author(s)Year of PublicationTitle of BookEditionPublishers NameISBN1Tellman, Andrew 2006Applied software project management1st OReilly0-596-00948-8 Web Link http://moodle.nottingham.ac.uk Module Code G54PDC Title of Module Parallel and Distributed Computing Number of credits 10 Level 4 Semester in which module is taught and Assessment Period SemesterAssessmentSpringAssessed by end of Spring Semester Pre-requisites for admission to the module (if any) G51OOP Object-Oriented Programming (G51PRG 2009/10), G52CON Concepts of Concurrency or equivalent knowledge of computer programming and basic principles of concurrency Co-requisites for the module (if any) None Lecturer TBA (Mr) Contact No:03-8924-TBARoom No:TBAE-mail: TBA@nottingham.edu.my Summary of Content A simple sequential computer program effectively executes one instruction at a time on individual data items. Various strategies are used in CPU design to increase the speed of this basic model, but at the cost of complexity and power consumption. To further increase performance the task must be re-organised to explicity execute on multiple processors and/or on multiple data items simultaneously. This module charts the broad spectrum of approaches that are used to increase the performance of computing tasks by exploiting parallelism and/or distributed computation. It then considers in more detail a number of contrasting examples. The course deals mainly with the principles involved, but there is the chance to experiment with some of these approaches in the supporting labs. Topics covered include: common applications of parallel and distributed computing; parallel and distributed machine architectures including Single Instruction Multiple Data (SIMD) or short-vector processing, multi-core and multi-processor shared memory, custom co-processors including DSPs and GPUs, cluster and grid computing; programming approaches including parallelizing compilers, explicit message-passing (such as MPI), specialized parallel computing abstractions (such as MapReduce), and specialized co-processor programming (such as for GPUs). Learning Outcomes Knowledge and Understanding The practice of parallel programming for a range of architectures and approaches. The strengths and weaknesses of various approaches to increasing task performance through parallelism. The synergy of hardware and software in parallel computer systems implementation and the properties of networked and distributed systems as used for parallel computation. Intellectual Skills Thing independently while giving due weight to the arguments of others in approaches to parallelism. Understand complex ideas and relate them to specific problems or questions in the area of parallel computation. Professional/Practical Skills Program in various paradigms relevant to parallel computing. Evaluate available parallel programming approaches and select those that are fit for purpose within a given domain. Transferable/Key Skills Solve problems. Communicate effectively in writing. Retrieve information from appropriate sources (e.g. API, instruction set and compiler documentation). Weekly Programme Not Available Assessment details Written Examination 100% Resources Suggested primary texts Not Available Suggested secondary texts Not Available Web Link To be given by the module convenor. Module Code G53NMD Title of Module New Media Design Number of credits 10 Level 3 Taught Semester and Assessment Period SemesterAssessmentSpringAssessed by end of Spring Semester Pre-requisites for admission to the module (if any) None Co-requisites for the module (if any) None Lecturer Dr. Wang Wei Contact No:03-89248721Room No:BB63E-mail: wang.wei@nottingham.edu.my Summary of Content This is a practical course covering the critical elements of the principles of design. Such principles are applied to new media applications, with a particular focus on its use in the context of the web. It also aims to give students a hands on experience with emerging new media technologies. Technical issues such as colour, images, audio, video and animation will be introduced and discussed in addition to usability and interaction. Practical uses of multimedia authoring systems, content management systems, flash and HTML 5 will form part of this module. Such tools will be put into context with emerging paradigms and new media for mobile platforms. Learning Outcomes To be able to design and produce multimedia objects. Weekly Programme Week NoLecture Topic1Introduction to Multimedia2Multimedia Authoring Systems; Interaction and Methaphor in Multimedia Design3Graphics and Still Images Representation; Colour Science and Color Models4Hypertext5Media Design: Text, Images, and Sound6Scalable Vector Graphics7Digital Audio8Architecture of Multimedia Systems9Synchronized Multimedia Integration Language10Digital Video11Intellectual Property Rights; Narrative Assessment details Group based development of a multimedia website and group report 75%; Individual Essay 25% Resources Suggested primary texts NoName of Author(s)Year of PublicationTitle of BookEditionPublishers NameISBN1Barfield, L2004Design for New Media: Interaction design for multimedia and the web1st Pearson Addison-Wesley978-02015960902Li, Z. & Drew,M.2004Fundamentals of Multimedia- Pearson Prentice-Hall978-0130618726 Suggested secondary texts NoName of Author(s)Year of PublicationTitle of BookEditionPublishers NameISBN1Vaughan, T. 2007Multimedia : Making It Work7th McGraw-Hill978-0072264517 Web Link  HYPERLINK "http://baggins.nottingham.edu.my/~wangwei/teaching/G53NMD.php" http://baggins.nottingham.edu.my/~wangwei/teaching/G53NMD.php Module Code G53ELC Title of Module Enterprise Level Computing Number of credits 10 Level 3 Taught Semester and Assessment Period SemesterAssessmentAutumnAssessed by end of Autumn Semester Pre-requisites for admission to the module (if any) G52CCN Computer Communications and Networks, G51DBS Data Systems and G51OOP Object-Oriented Programming (G51PRG 2009/10) Co-requisites for the module (if any) None Lecturer Dr. Wang Wei Contact No:03-89248721Room No:BB63E-mail: wang.wei@nottingham.edu.my Summary of Content This module provides an overview of more advanced Web architectures and technologies. It will cover the development of web services through the use of standards such as XML, SOAP, WSDL and UDDI and consider how web services can be used to implement a Service Oriented Architecture (SOA). The module will also provide an introduction to the Semantic Web. It explains how modern enterprises construct computer applications that are distributed over an intranet. Multi-tiered architectures will be covered in the context of object-oriented design and implementation as distributed components. The module will describe the interface to web technologies and the Internet and cover electronic commerce as an important application. The Java 2 Enterprise Edition will be used as the basis for the module and compared and contrasted with Microsoft .Net technology. Security and additional materials in the field of networking and communication protocols, tools and good practice will also be described and demonstrated. Learning Outcomes Knowledge and Understanding Design and implementation of multi-tier applications using distributed component technology. The use of Windows Communication Foundation (WCF) and Windows Presentation Foundation (WPF) and server-side technologies for web page delivery and their security implications on intranets and the Internet. Intellectual Skills The ability to understand and logically evaluate requirements and specifications and the ability to understand complex ideas and relate them to specific problem. Professional Skills The ability to implement server-side applications in an eCommerce application using a variety or proprietary and open-source approaches and comparisons between Microsoft and the Java 2 enterprise bean approach. Transferable Skills Enhanced systems analysis, systems architecture design, developmental and communication skills. Weekly Programme Week NoLecture Topic1Module Introduction2Database Conectivity I3Database Conectivity II4Server-side Processing and AJAX5Servlets6Java Server Pages7Java Directory and Naming Interface8Java and XML9Microsoft .NET Overview10Web Services11Case Study Assessment details Coursework 50%; Written Examination 50% Resources Suggested primary texts NoName of Author(s)Year of PublicationTitle of BookEditionPublishers NameISBN1Jim Farley, William Crawford2005Java Enterprise in a Nutshell3rd'Reilly Associates0-596-00152-52Dave Elliman-The Student Handbook for the Module--- Suggested secondary texts NoName of Author(s)Year of PublicationTitle of BookEditionPublishers NameISBN1--Designing Enterprise Applications with the J2EE Platform2ndSun Java-2Eric Jendrock, Ian Evans, Devika Gollapudi, Kim Haase, Chinmayee Srivathsa2010The Java EE 6 Tutorial--- Web Link  HYPERLINK "http://baggins.nottingham.edu.my/~wangwei/teaching/G53ELC.php" http://baggins.nottingham.edu.my/~wangwei/teaching/G53ELC.php Module Code G53SEC Title of Module Computer Security Number of credits 10 Level 3 Taught Semester and Assessment Period SemesterAssessmentSpringAssessed by end of Spring Semester Pre-requisites for admission to the module (if any) G51WPS Web Programming and Scripting OR G52IWS Internet and the Web Services (200910) OR G52CCN Computer Communications and Networks OR Equivalent Knowledge of Networks and Computer Systems. Co-requisites for the module (if any) None Lecturer TBA Contact No:TBARoom No:TBAE-mail: TBA Summary of Content The module covers the following topics: access control, reference monitors, security models, cryptography, cryptanalysis, network security, software security and nature inspired computer security methods. Learning Outcomes Knowledge and Understanding An understanding of security issues associated with networked computers. An appreciation of the strengths and weaknesses of available security techniques. Experience of the use of such techniques in a protected networked environment Intellectual Skills The ability to think independently while giving due weight to the arguments of others. The ability to understand complex security issues and relate them to specific situations. Professional Skills Enhanced systems programming skills. The ability to evaluate and select appropriate security techniques. Transferable Skills The ability to work as part of a team to solve real security problems. An enhanced ability to produce detailed reports Weekly Programme WeekLecture Topic1Introduction & Overview2Foundations of Computer Security3Access Control4Reference Monitors5Security Models6Other Security Models7Cryptography 18Cryptography 29Network Security10Software Security11Nature Inspired Comp.12Student Presentations & Discussions Assessment details Written Examination 60% Coursework 40% Resources Suggested primary texts NoName of Author(s)Year of PublicationTitle of BookEditionPublishers NameISBN1Dieter Gollmann2006Computer Security2ndWiley0470862939 Suggested secondary texts NoName of Author(s)Year of PublicationTitle of BookEditionPublishers NameISBN1Ross Anderson2008Security Engineering2nd Prentice-Hall0470068523 Web Link TBA Module Code G52CPP Title of Module C++ Programming Number of credits 10 Level 2 Taught Semester and Assessment Period SemesterAssessmentSpringAssessed by end of Spring Semester Pre-requisites for admission to the module (if any) G51OOP Object-Oriented Programming (G51PRG 2009/10) Co-requisites for the module (if any) None Lecturer Michael Chung (Mr) Contact No:03-89248142Room No:BB58E-mail: michael.chung@nottingham.edu.my Summary of Content The course will cover programming material and concepts necessary to obtain a thorough understanding of the C++ programming language for students with experience with another imperative programming language such as Java or C#. Learning Outcomes Knowledge and Understanding Understanding of the theory and practice of object-oriented (C++) programming. Intellectual Skills Understand and logically evaluate program requirements and specifications. Understand the complex ideas of programming solutions and relate them to particular problems. Professional Skills The ability to write procedural and object-oriented programs in C++ Transferable Skills The ability to solve problems using programming and communicate the results in writing. Weekly Programme Week NoLecture Topic1Introduction2Introduction to Classes and Objects3Classes4Classes (cont.)5Operator overloading6Inheritance in C++7Polymorphism in C++8Templates9Stream Input/Output, Class String10Exception Handling11File Processing12STL Assessment details One courseworks (40%) and a two-hour written exam (60%). Resources Suggested primary texts NoName of Author(s)Year of PublicationTitle of BookEditionPublishers NameISBN1Deitel & Deitel2008C++ How to Program6thPearson0-13242701-X Suggested secondary texts Not Available Web Link http://baggins.nottingham.edu.my/~kczmc/Teaching/G52CPP Module Code G64PRE Title of Module Computer Science Technology Transfer Project Number of credits 60 Level 4 Semester in which module is taught and Assessment Period SemesterAssessmentSummerAssessed by end of Summer Vacation Pre-requisites for admission to the module (if any) N14C15, N14G01, N14G02, N14G03 Co-requisites for the module (if any) None Lecturer (Mr) TBA Contact No:03-8924TBARoom No:TBAE-mail: TBA@nottingham.edu.my Summary of Content The purpose is to provide the opportunity for students to undertake independent research into a topic appropriate to Computer Science Technology Transfer. In undertaking the project, you should draw on and extend material presented in the course. Beyond reinforcing information and methodology presented in the taught modules, you will gain experience by: addressing the challenges involved in developing the commercial potential of a technological advance; develop communication skills relevant to the process of transferring technology to a commercial environment both by: making presentations to non technical audiences developing a report appropriate for a set of potential investors otherwise communicating ideas to customers through meetings in groups or as individuals . Learning Outcomes Knowledge and Understanding Knowledge of business administration and entrepreneurial practices. Elementary knowledge of business and patent law. Intellectual Skills Ability to apply assessment and processes to real-life situations. Professional Skills enhanced programming abilities the ability to comprehend and apply software engineering methodologies Transferable Skills the ability to plan, organisation and execute project work the ability to communicate their results to others Weekly Programme Supporting lectures to be arranged by the module convenor and weekly meetings to be scheduled with the supervisors Assessment details Project report in printed and electronic form (PDF). The source code must also be included in the submission 80% Presentation 10% Interim report 10% Notes: Module availability in any semester will depend on staff availability and enrollments from sufficient number of students. The descriptions of the offered modules are current as when this document is prepared but they may be subjected to modifications and additions by the module convenors. 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