ࡱ>  /bjbj 8V1VV86.(6 6 6 6 6 6 6$7X:-6-6B622262622r4_5 κml"C55X606Q5;|1;_5;_52-6-62p6;V _: Syllabus for 2002 Batch Dept. of Computer Science & Engineering Shah Jalal University of Science & Technology, SylhetFirst Year : Semester ICourse NoCourse TitleHours/WeekCreditsPrerequisiteCSE-131Introduction to Computer Science22CSE-135Structured Programming Language 22CSE-136Structured Programming Language Lab 63IPE-108Workshop Practice & Engineering Graphics31.5PHY-103EMechanics, Wave, Heat & Thermodynamics33MAT-102DMatrices, Vector Analysis & Geometry44ENG-101English Language I22ENG-102English Language I Lab21CSE-141Discrete Mathematics22Total2620.5First Year : Semester IICourse NoCourse TitleHours/WeekCreditsPrerequisiteCSE-125Electric Circuit Analysis33CSE-126Electric Circuit Analysis Lab42CSE-137Data Structure33CSE-135CSE-138Data Structure Lab42PHY-207EElectromagnetism, Optics & Modern Physics33MAT-103DCalculus & Differential Equations44ENG-103English Language II22ENG-104English Language II Lab21CSE-100Project Work21Total2721Second Year : Semester ICourse NoCourse TitleHours/WeekCreditsPrerequisiteCSE-227Semiconductor Devices & Circuits 44CSE-228Semiconductor Devices & Circuits Lab42CSE-233Object Oriented Programming Language 33CSE-135CSE-234Object Oriented Programming Language Lab63PHY-222BBasic Physics Lab31.5STA-202Basic Statistics & Probability44BAN-343Management Accounting33Total2720.5 Second Year : Semester IICourse NoCourse TitleHours/WeekCreditsPrerequisiteCSE-221Digital Logic Design33CSE-227CSE-222Digital Logic Design Lab42CSE-237Algorithm Design & Analysis33CSE-137CSE-238Algorithm Design & Analysis Lab31.5CSE-239Numerical Analysis22CSE-240Numerical Analysis Lab21ECO-103Principles of Economics33MAT-204DComplex Variable, Laplace Transformation & Fourier Series44CSE-200Project Work21Total2620.5Third Year : Semester ICourse NoCourse TitleHours/WeekCreditsPrerequisiteCSE-323Electronic Communication22CSE-333Database System33CSE-334Database System Lab 63CSE-325Microprocessor & Assembly Language33CSE-221CSE-326Microprocessor & Assembly Language Lab31.5CSE-339Theory of Computation22CSE-331Software Engineering33CSE-332Software Engineering Lab31.5CSE-300Project Work21Total2720Third Year : Semester IICourse NoCourse TitleHours/WeekCreditsPrerequisiteCSE-329Computer Architecture33CSE-327Data Communication33CSE-328Data Communication Lab31.5CSE-335Operating System and System Programming 33CSE-336Operating System Lab31.5CSE-351Management Information System33IPE-301Industrial & Business Management33CSE-350Project Work21Total2319Fourth Year : Semester ICourse NoCourse TitleHours/WeekCreditsPrerequisiteCSE-421Computer Interfacing22CSE-325CSE-422Computer Interfacing Lab21CSE-431Computer Networking33CSE-327CSE-432Computer Networking Lab42CSE-439Compiler Construction33CSE-339CSE-440Compiler Construction Lab31.5CSE-4**Option I33CSE-4**Option I Lab31.5CSE-400Thesis42Total2719Fourth Year : Semester IICourse NoCourse TitleHours/WeekCreditsPrerequisiteCSE-451Computer Graphics33CSE-452Computer Graphics Programming Lab31.5CSE-453Internet Programming & Multimedia Basics22CSE-454Internet Programming & Multimedia Lab21CSE-433Artificial Intelligence33CSE-434Artificial Intelligence Lab31.5CSE-4**Option II33CSE-4**Option II Lab31.5CSE-402Thesis63Total2819.5Optional : Option ICourse NoCourse TitleHours/WeekCreditsPrerequisiteCSE-425Digital Signal Processing33MAT-103D, MAT-204DCSE-426Digital Signal Processing Lab31.5CSE-457Parallel Processing 33CSE-458Parallel Processing Lab31.5CSE-461Distributed System33CSE-462Distributed System Lab31.5CSE-463Advanced Database System 33CSE-333CSE-464Advanced Database System Lab31.5CSE-455Contemporary Course on Computer Science33CSE-456Contemporary Course (Lab) on Computer Science31.5Total3022.5Optional : Option IICourse NoCourse TitleHours/WeekCreditsPrerequisiteCSE-427Fiber Optics33PHY-207ECSE-428Fiber Optics Lab31.5CSE-465Digital Image Processing33MAT-102D, MAT-204DCSE-466Digital Image Processing Lab31.5CSE-467VLSI Design33CSE-221CSE-468VLSI Design Lab31.5CSE-441Neural Network33CSE-442Neural Network Lab31.5CSE-443Contemporary Course on Computer Science33CSE-444Contemporary Course (Lab)on Computer Science 31.5Total3022.5 Detailed Syllabus CSE 100 Project Work 2 Hours/Week, 1 Credits Project Work Based on CSE 135 / CSE 137. CSE 101* INTRODUCTION TO COMPUTER APPLICATION 2 Hours/Week, 2 Credits Computer Basis: History and development Computer types. Scope of computer Impact of computers on society and technology. Specification of Computers: CPU types, Speed variation, Memory, type size Cache, Storage Media, Hard disk, Floppy disk, CD ROM , DVD. Printer: Dot matrix Laser, ink jet. Computer Hardware: Digital electronics, CPU. Memory: RAM, ROM, Mass storage devices, I/O Devices : Different Peripherals Idea of System Software and Application Software: Function of Operating System, Discussion on different types of Operating System : DOS/Windows, Mac UNIX/XENIX etc. Concept of formal Language: Different type of Computer Languages: Assembly, FORTRAN, Pascal C and C++, Artificial Language etc. Purpose and Scope of Application Packages: Essential General purpose packages : Word Processing, Spreadsheet analysis, Database etc. Networking: Different types of networks, network topologies, communication media. Internet: Internet services, e-mail, e-commerce. Multimedia: Basics of audio, video & graphics. Maintenance and Troubleshooting: Virus, Power Surge Protection, Disk maintenance. Future Trends: Super Computer, Distributed Computer, Parallel Processing, Information Super Highway, Multi-media and virtual reality. CSE 102* INTRODUCTION TO COMPUTER APPLICATION LAB 2 hours/week, 1 credit Operating System: Windows - Students will learn the basics of computer, how to operate them in two basic environments, dos and Windows. Word Processor: Students will learn to use a popular word processor to create a camera ready test file complete with figures, columns and tables. Spread Sheet: Students will learn to use a popular Spread Sheet to maintain a small data base, minor book keeping and statistical and graphical analysis off data. Presentation package: Students will learn how to create multimedia slides and animation. *(A-CTP, B-EPC, C-IPE, D-CHE, E-MAT, F-PHY, G-ANP, H-ECO,J-PSA, K-SCW, L-SOC,M-BAN,N-FOR,O-ENG) CSE 103* FUNDANENTALS OF ELECTRICAL ENGINEERING Theory: 2 Hours/week, 2 Credits Circuit Models: Characteristics & applications of linear circuit elements, Ideal and non-ideal sources : Voltage and Current. Series, Parallel and Compound circuit analysis. Loading effects: Ammeter and Voltmeter. Circuit Theorem and DC analysis: Voltage and current divider rule, Kirchhoffs Laws. Superposition Theorem. Thevenins Theorem. Nortons Theorem. Maximum Power Transfer Theorem. Mesh and Nodal analysis. Matrix form of Mesh and Nodal equations. Bridge networks. T-Pie and Pie-T Conventions. Transients and Time Domain analysis: Transient in RC, RL, and RLC circuits. AC Theory and Frequency domain analysis: Properties of Sinusoidal and square wave forms. Phasor diagram. The j operator. series and parallel network theorems, AC power, resonance phenomena, average value. Magnetic concept and magnetic circuits: Coupled Circuits and Transformers, Self and mutual inductance. CSE 125 ELECTRIC CIRCUIT ANALYSIS 3 Hours/week, 3 Credits Circuit Models: Characteristics & applications of linear circuit elements, Ideal and non-ideal sources : Voltage and Current. Series, Parallel and Compound circuit analysis. Loading effects: Ammeter and Voltmeter. Circuit Theorem and DC analysis: Voltage and current divider rule, Kirchhoffs Laws. Superposition Theorem. Thevenins Theorem. Nortons Theorem. Maximum Power Transfer Theorem. Reciprocity Theorem. Mesh and Nodal analysis. Matrix form of Mesh and Nodal equations. Use of Cramers rule. Bridge networks. T-Pie and Pie-T Conversions. Transients and Time Domain analysis: Transient in RC, RL, and RLC circuits. Pulse repetition rate and duty cycle. Average value. RC response to a square wave inputs. AC Theory and Frequency domain analysis: Properties of Sinusoidal and square wave forms. Phasor diagram. The j operator. Resonance phenomena. Fourier method of Wave form analysis. Laplaces Transformation and its application to Linear circuit. Networks: Two port network and its parameters. Equivalent circuits. Analog filter design: Elementary filter theory, Characteristics impedance. Low pass filter, High pass filter, Band-pass filter, Band-elimination filter. Coupled Circuits and Transformers: Self and mutual inductance, Analysis of coupled circuits. Coefficient of coupling, Linear transformer, Ideal Transformer. CSE 126 ELECTRIC CIRCUITS AND ANALYSIS LAB 4 Hours/week, 2 Credits Laboratory works based on CSE 125. CSE 131 INTRODUCTION TO COMPUTER SCIENCE 2 Hours/week, 2 Credits Introduction: Fundamentals concepts; historical background; types of computers; application areas. Number systems, codes and computer logic: binary, octal, hexadecimal, number systems; arithmetic operations; ASCII, BCD, EBCDIC, Gray, weighted codes; Boolean functions. Data representation: representation of integer, real, floating-point numbers and character. Hardware: Basic components of a digital computer; I/O unit, memory unit and CPU; peripheral devices. Single- and multi-user systems. Multitasking systems. Computer communication and networks. Computer Hardware Organization. Bus-organized architecture. CPU Organization. Memory devices. Buffers and channels. I/O devices. Software: Basic concepts; classification; system and application software. Operating system: importance, components, and basic functions; overview of DOS and Unix. Programming languages: classification; assembler & translators; source & object program. Phases of a compiler. Application software. Computers for problem solving: Programming as transformation from problem to solution to implementation. Programming language and their levels. Programming language concepts. Structured language and other formalism. Survey of different programming languages. Program design methodologies, structured and modular program design. Introduction to software packages :Types and uses. CSE 135 STRUCTURED PROGRAMMING LANGUAGE 2 Hours/week, 2 Credits Programming Language : Basic concept, Overview of programming languages, Problem Solving Techniques and Data Flow Diagram. C-Language (UNIX Environment): Preliminaries, Program constructs, variables and data types in C. Input and output. Character and formatted I/O; Arithmetic Expressions and Assignment statements; Loops and Nested loops; Decision making; Arrays, Functions; Arguments and local variables, Calling Functions and arrays. Recursion and Recursive functions; Structures within structure. Files; File functions for sequential and Random I/O. Pointers; Pointers and structures; Pointer and functions; Pointer and arrays; Operation and Pointer; Pointer and memory addresses; Operations on Bits; Bit Operation; Bit field; Advanced features; Standard and library. CSE 136 STRUCTURED PROGRAMMING LANGUAGE LAB (UNIX Environment) 6 Hours /week, 3 Credits Laboratory based on CSE 135 CSE 137 DATA STRUCTURES 3 Hours/week, 3 Credits Internal Data Representation. Specification, representation and manipulation of basic data structures: arrays, records and pointers, linked lists, stacks, queues, recursion, trees, optimal search trees, heaps. Graphs and their application, List and string processing, Searching and Sorting algorithms. Hashing techniques, Storage Management. CSE 138 DATA STRUCTURE LAB. 4 Hours/week, 2.0 Credits Laboratory works based CSE 137 CSE 141 DISCRETE MATHEMATICS 2 hours/week, 2.0 credits Numbers, Functions and Counting : Integers. Definition and proof by induction. Functions on finite sets. Divisibility. Eucildean algorithm. Exclusion inclusion principle. Euler's Function. Binomial coefficients. Designs, t-designs. Permutation. Modular arithmetic and Euler's theorem. Examples and use of recurrence relations and generating functions in counting problems. Graphs, Trees, Digraphs, Networks and flows: graphs and their isomorphism. Valencey. Paths and cycles. Trees. Colouring the vertices of a graph. Counting the leaves on a rooted tree. Spanning trees and the MST Problems. Bipartite graphs and matching problems. Transversals for families of finite sets. Diagraphs, Networks and flows. The max -flow and min-cut theorem. Finite Geometries : Cryptology and coding theory, Review of the theory of the finite fields. Finite fields and Latin Squares. Finite geometry and designs. Finite projective planes. Steinear triple systems. Basic ideas of public key cryptology and the theory of error correcting codes. Hamming code. CSE 200 PROJECT WORK Lab: 2 Hours/week, 1 credits Project work based on CSE 233. CSE* 201 INTRODUCTION TO BASIC ELECTRONICS Theory: 2 Hours/week, 2 Credits THEORY: Introduction, Basic Terminology and Definitions, Electric Circuits (AC and DC Circuits ), Semiconductor Devices, Transistor and its Application, Op Amp., Popular Analog ICs, Digital Circuits, Measuring Instruments & Techniques, Power Supply. CSE* 202 INTRODUCTION TO BASIC ELECTRONICS LAB Lab: 2 Hours/week, 1 Credit Instruments: Measuring Instruments and how to use them, Ohms law and network theorems: Circuits using resistors, capacitors, inductors and diodes, Transistor amplifier: Using Transistor in a circuit as an amplifier, Transistor as a switch: Using transistor in circuit as an amplifier. Use of op-amp: Familiarizing with Operational Amplifier and building as audio amplifier using op-amp, Digital Circuits: Using Logic gates in digital circuits to make flip flops, counters, registers, adders and other components, Power supply construction: Making a 5 Volt power supply. *(D-CHE) CSE 203* Introduction to COMPUTER LANGUAGE 2 Hours/Week, 2 Credits Software: Basic concept and its classification; Overview of programming languages; C-Language: Preliminaries, Program constructs, variables and data types in C. Input and output. Character and formatted I/O; Arithmetic Expressions and Assignment statements; Loops and Nested loops; Decision making; Arrays, Functions; Arguments and local variables, Calling Functions and arrays. Recursion and Recursive functions; Structures within structure. Files; File functions for sequential and Random I/O. Pointers; Pointers and structures; Pointer and functions; Pointer and arrays; Operation and Pointer; Pointer and memory addresses; Operations on Bits; Bit Operation; Bit field; Advanced features; Standard and library. CSE 204* Introduction to COMPUTER LANGUAGE LAB 4 Hours/Week. 2 Credits Laboratory works based on theory classes. *(A-CTP, B-EPC, C-IPE, D-CHE, E-MAT, F-PHY) ECs 205* Database Management and Programming for Social Science 2 Hours/week, 2 Credits Introduction to Database: Database Management System, Relational Database management System, Entity-Relationship Model, Relational Model, SQL, Sorting, Indexing, Integrity Constraints, Transaction Concept, Database System Architecture. Database Management: Creating a Database, Opening a Database, Modifying a Database, Modifying a Database Structure, Indexing, Sorting, Searching a Database, Designing a Customer Screen, Designing a Report, Designing a Menu. Database Programming: Programming concept, A Simple Program, Memory variables, Constants, Operators, Commands, Arrays, Macros, Different Type of Processing, Procedures, Functions. Programming for Data Entries, Update, Report, Menu and Searching. ECs 206* Database Management and Programming for Social Science LAB 4 Hours/Week, 2 Credits Laboratory works based on the theory classes. *( G-ANP, H-ECO,J-PSA, K-SCW, L-SOC,N-FOR,O-ENG) CSE 207* ELECTRONICS AND ELECTRICAL MACHINARIES 3 Hours/Week, 3 Credits Balanced three phase circuit analysis. Semiconductor diode operation and characteristics. Transistor operation, characteristics and equivalent circuit. Transistor biasing, analysis of transistor amplifiers (CE, CB, CC), emitter follower amplifiers and its applications; FET: JFET, MOSFET; Operational amplifier and its applications. Introduction to thermistors, UJT, SCR, TRIAC; Photodiodes, Phototransistors, Solar cells, LED, Zener diode; Single phase transformer equivalent, Introduction to three phase transformer; DC machines: DC generator principle, types, characteristics and performances. AC machines: Single phase induction motor, three phase induction motor, introduction to synchronous machines; Oscilloscope; Transducers: Strain, temperature, pressure, speed and torque measurements. CSE 212* ELECTRONICS AND ELECTRICAL MACHINARIES Lab Laboratory works based on CSE 103C and CSE 207C. *(C-IPE ) CSE 208* DATA STRUCTURES 3 Hours/week, 3 Credits Internal Data Representation. Specification, representation and manipulation of basic data structures: arrays, records and pointers, linked lists, stacks, queues, recursion, trees, optimal search trees, heaps. Graphs and their application, List and string processing, Searching and Sorting algorithms. Hashing techniques CSE 209* DATA STRUCTURE LAB 3 Hours/week, 1.5 Credits Laboratory works based CSE 208* *( E-MAT) CSE 221 DIGITAL LOGIC DESIGN 3 Hours/week, 3 Credits Boolean Algebra and Minimization: Introductory concept of number systems and codes. Boolean constants and variables, truth tables. Basic logic functions. Boolean expressions. Implementing circuits from Boolean expressions. Boolean theorems, DeMorgan's theorem. Sum-of-product and product-of-sum forms. Simplifying logic circuits, algebraic simplification, the Karnaugh map method, Quine-McCluskey design method. Logic Gates and Combinational Circuits: Different types of logic gates. Circuit design using NAND or NOR gates only. Alternate logic-gate representations. Designing combinatorial logic circuits. Exclusive OR and NOR circuits. Logic circuits with multiple outputs. Designing without a truth table. Flip-flops: SR, JK, D and T flipflops. The D latch. Master-slave FF. Flipflop applications. FF synchronization. Data storage and transfer. Frequency division and counting. One shot. Arithmetic circuits: Adder circuits. Carry propagation, carry look-ahead adder. IC parallel adder. The 2's complement addition and subtraction system. The BCD adder. Binary multiplier. Counters and Registers: Asynchronous cuonter: Ripple counters, counters with mod numbers<2n, IC asynchronous counters, asynchronous down counter, propagation delay in ripple counters. Synchronous down and up/down counters. Decoding a counter. Decoding glitches. Cascading BCD counters. Shift-registers. Counter applications: frequency counter, digital clock. IC registers. MSI Logic Circuits: Decoders, BCD-to-decimal decoders, BCD-to-7-segment decoder/drivers. Encoders. Multiplexers and multiplexer applications. Demultiplexers. Integrated-Circuit Logic Families: Digital IC terminologies, TTL logic family, TTL series characteristics, open-collector TTL, tristate TTL, ECL family, MOS digital ICs, MOSFET, CMOS characteristics, CMOS tristate logic, TTL-CMOS-TTL interfacing. Memory Devices: Memory terminology, general memory operation, semiconductor memory technologies, different types of ROMs, semiconductor RAMs, static and dynamic RAMs, Magnetic bubble memory, CCD memory, FPGA Concept. CSE 222 DIGITAL LOGIC DESIGN LAB 4 Hours/week, 2 Credits Laboratory works based on CSE 221 including FPGA ECS 227 SEMICONDUCTOR DEVICES & CIRCUITS 4 Hours/week, 4 Credits Theory of Semiconductors: Electronic structure of the elements. Energy levels. Energy band theory of crystals. Energy band diagram of Insulator, semiconductor & metal. Free electron theory. Bond structure of Si & Ge. Intrinsic & extrinsic semiconductor. Fermi level. Concept of hole. Carrier densities. generation & recombination of excess carriers. carrier lifetime. carrier movement by diffusion and drift.Continuty equation. Semiconductor Diodes: The pn junction. Junction biasing conditions. Effect of asymmetric doping. I-V characteristics. Dynamic and static resistance of diode. Half wave and Full wave rectification & filtering. Clipping and clamping circuits. Voltage regulators. voltage doubler and voltage multiplier. Junction capacitance and Varactor diode. Avaalanche and Zener breakdown. Zener and Tunnel diodes. Bipolar Transistors: Junction transistors. npn & pnp transistors. Principle of transistor action. Potential distribution through a transistor, Transistor current components, emitter efficiency, transport factor, large signal current gain. Transistor as an amplifier. Transistor characteristics in CB, CE & CC configurations. Large signal, dc, and small signal CE values of current gain. Concept of load lines. Dynamic transfer curves of Ge & Si transistor. Transistor switching times. BJT Biasing and Basic amplifier circuit: The operating point. Capacitive coupling. The static and dynamic load lines. Bias stability. Thermal instability. Stability factor S. Analysis of different types of biasing circuits. Stabilization against variations in VBE and beta for the self bias ckt. Bias-compensation and Thermal runaway. Classification of amplifier. BJT small signal amplifier circuit analysis in three configuration using different biasing circuit. Push-pull amplifier.Transistor hybrid model: Determination of h-parameters from the characteristics. Oscillators: Feedback and circuit requirements for oscillation. Nyquist's criterion. Sinusoidal oscillators. Barkhausen criterion. Phase-shift oscillators, resonant circuit oscillators, Colpitt's and Hartley's Oscillator, Wein bridge oscillator, crystal oscillator. Frequency stability. Operational Amplifier: Basic differential amplifier. Differential amplifier circuits. Differential amplifier with current mirror and active load. Differential amplifiers in ICs. Basics of operational amplifiers. The ideal OpAmp. Study of OpAmp parameters. OpAmp circuits. Active filters. Voltage regulation. Sample and hold circuit, phase-lock loop. Field Effect Transistors: JFET: construction, operation, static characteristics, small signal model and parameters. MOSFET: different types, operation, characteristics curves. DC biasing of depletion and enhancement type MOSFET. Different biasing conditions of JFET. Other Semiconductor devices: Industrial electronics devices: Thyristors, SCR, TRIAC, UJT, PUT, DIAC, Shockley diode. Optoelectronics devices: LED, Liquid Crystal displays (LCD) Photodiodes, Phototransistors, Opto-isolators, Solar cells. Ref: 1. Electronic Devices & Circuit Theory--- Robert Boylestad, Louis Nashelsky. 2. Integrated Electronics Jacob Millman, C. Halkias ECS 227 SEMICONDUCTOR DEVICES & CIRCUITS LAB 4 Hours/week, 2 Credits Laboratory works based on CSE 228 CSE 233 OBJECT ORIENTED PROGRAMMING IN GUI ENVIRONMENT. 3 Hour/week, 3 Credits Introduction to Java : History of Java,Java Class Libraries,Introduction to Java Programming,A simple Program. Developing Java Applicaion : Introduction, Algorithms, Pseudo code, Control Structure, The If /Else Selection Structure, The While Repetition Structure, Assignment Operators, Increment and Decrement Operators, Primitive Data Types, Common Escape Sequence, Logical Operator Control Structure : Introduction, The For Structure, The Switch Structure, The Do/While Structure, The Break and Continue Structure. Methods : Introduction, Program Module in Java, Math Class Methods, Method Definitions, Java API Packages, Automatic Variables, Recursion, Method Overloading, Method of the Applet Class. Arrays : Introduction, Arrays, Declaring and Allocating Arrays, Passing Arrays to Methods, Sorting Arrays, Searching Arrays, Multiple-Subscripted Arrays Object-Based Programming : Introduction, Implementing a Time Abstract DataType with a Class, Class Scope, Controlling Access to Members, Utility Methods, Constructors, Using Overload Constructor, Using Set and Get Method, Software Reusability, Friendly Members, Finalizers, Static Class Members, Data Abstraction and Information Hiding Object-Oriented Programming: Introduction, Superclasses and Subclasses, Protected Members, Using Constructor and Finalizers in Subclasses, Composition vs. Inheritance, Introduction to polymorphism, Dynamic method building, Final Methods and Classes, Abstract Superclasses and Concrete Classes. String and Characters, Graphics, Exception Handling, Files and Stream, Java API, Utility Classes, 2D Graphics, GUI, Swing, Events. CSE 234 OBJECT ORIENTED PROGRAMMING IN GUI ENVIRONMENT LAB. 6 Hours/week, 3 Credits Laboratory works based on CSE 233. CSE 237 ALGORITHM DESIGN AND ANALYSIS 3 Hours/week, 3 Credits Techniques for Analysis for Algorithms, Standard Efficient Techniques, Divide and Conquer, Greedy Method, Dynamic Programming, Back-Tracking, Branch and Bound, Basic Search and Traversal Techniques , Topological Sorting, Connected Components, Spanning Tree, Shortest Paths, Flow Algorithms, Approximation Algorithms, Graph Algorithms, Geometric Algorithms, Parallel Algorithms, Algebraic Simplification and Transformations, Lower Bound Theory, NP Completeness, NP hard and NP complete problems. CSE 238 ALGORITHMS DESIGN AND ANALYSIS LAB 3 Hours/week, 1.5 Credits Laboratory works based on CSE 237. CSE 239 NUMERICAL ANALYSIS 2 hours/week, 2.0 credits Numerical analysis: Errors in numerical calculations. Error : Definitions, sources, examples. Propagation of Error. A general error formula. Root finding : The bisection method and the iteration method, the method of false position. Newton-raphson method. Methods of approximation theory : Polynomial interpolation: Lagrange form, divided formula for interpolation. Solution of systems of Linear equations: Gaussian elimination. The pivoting strategy, Iteration method solution of tridiagonal systems. Numerical solution of ordinary differential equations: Euler's method (including modified form), Rnge-Kutta method. Numerical Integration : Trapezoidal method. Simpson's method. Weddle's method; Eigen value problems for matrices, Use of computer to implement projects in numerical methods. CSE 240 NUMERICAL ANALYSIS LAB 2 hours/week, 1.0 credits Laboratory works based on CSE 239. CSE 300 PROJECT WORK 2 hours/Week,1 Credits Based on CSE 141/CSE 237/CSE 239. CSE 301* ALGORITHM 3 hours/Week, 3.0 credits Techniques for analysis for algorithms, standard efficient techniques, divide and conquer, greedy method, dynamic programming, backtracking, branch and bound, basic search and traversal techniques, Graph algorithms, geometric algorithms, geometric algorithm, parallel algorithms, Algebric simplification and transformations, Lower bound theory, NP hard and NP complete problems. CSE 302* ALGORITHM LAB 3 hours/Week, 1.5 credits Laboratory works based on CSE 237. *( E-MAT) CSE 323 ELECTRONIC COMMUNICATION 2 Hours/week, 2.0 Credits Principles of communication system: Basic constituents of communication system. Need for using high carrier frequency. Classification of RF spectrum. Noise: Classification of noise. Addition of noise due to several sources. Signal to noise ratio. Noise figure. Modulation theory: Definition, types of modulation: AM, FM. Mathematical expressions of AM, FM and signals. Comparison of frequency modulation and Amplitude modulation. Pre-emphasis and de-emphasis. Wide band FM and narrow band FM. Stereophonic FM Multiplex system. SSB, DSBSC. Modulation/Demodulation methods. Radio wave propagation: Different types of ratio wave propagation Ionosphere. Vertical heights and critical frequencies of layers. Propagation of RW through Ionosphere. Reflection of RW. Skip distance and MUF. Fading. Static and noise. Antenna concepts. Two way communication. Principles of Satellite Communication, VSAT. Cellular Mobile Communication: Operation of Cellular mobile Systems, Planning, Analog and Digital Cellular System, AMPS, GSM, TDMA, CDMA, Intelligent cell concept and applications, Frequency Management, switching and Traffic, GPRS, EDGE, WAP. CSE 325 MICROPROCESSORS & ASSEMBLY LANGUAGE 3 Hours/week, 3.0 Credits Microprocessors: Concept of microprocessor; Evolution of microprocessors; Internal architecture of Intel 8085, 8086/8088 microprocessors:Instruction set and format, Programming in machine and assembly languages, Interrupt structure, DMA, I/O operation, Microprocessor interface ICs, Peripheral interfacing, Microprocessor based system design, Coprocessor, Multiprocessor system; Intel 80286, 80386 microprocessors: memory management scheme, Protection mechanism, 80386 modes; Advanced microprocessors. Interfacing with analog world: A/D conversion, digital ramp ADC, successive approximation ADC, flush ADC, tristate ADC, D/A converter, DAC specifications, DAC applications, Data acquisition, sample-and-hold circuits, multiplexing. CSE 326 MICROPROCESSORS & ASSEMBLY LANGUAGE LAB 3 Hours/week, 1.5 Credits Laboratory works based on CSE 325 CSE -327 DATA COMMUNICATION 3 Hours/week, 3 Credits Introduction: Data communication networks, standards, communication architecture. Data Transmission: Spectrum and bandwidth, Time and Frequency Domain, Analog and digital data transmission, Transmission impairments, Channel capacity, Transmission media. Data Encoding: Digital data and digital signaling, Analog-to-Digital Conversion, Digital-to-Analog, Digital-to-Digital Conversion. Multiplexing: FDM, WDM, TDM, STDM, Digital Subscriber Line. Data Communication Interface: Parallel and Serial Transmission, Asynchronous and synchronous transmission, RS232C (or EIA 232D) standard, Different types of Modems, Switching: Space division and time division switching, Two-dimensional switching, Circuit switching, Packet switching and hybrid switching, Timing, Network Synchronization, Routing and Traffic Control. Digital Integrated Services Networks: X.25 standard, Frame Relay, ISDN, ATM, SONET/SDH. Books: 1. Data and Computer Communications - W Stallings, Macmillan, 1994 (4th edition) 2. Data Communications and Networking Behrouz A. Forouzan (2nd edition) 3. Computer n etworks - A. S. Tanenbaum, Addison-Wesley, 1996 (3rd edition) 3. Data Communication and Computer Network - Stawling CSE -328 DATA COMMUNICATION LAB 3 Hours/week, 1.5 Credits Lab Based on ECS327 CSE 329 COMPUTER ARCHITECTURE 3 Hours/week, 3 Credits Introduction: Fundamentals of Computer Design, Performance and cost. Instruction Set: Instruction set design, examples, measurement of use. Processor Implementation: Datapath, steps of execution, microprogram, Interrupts. Pipelining: Basic pipelining, Pipeline Hazards. Memory Hierarchy Design: Principle of locality, general principle, Caches, Main memory, Virtual memory. Input/output Devices: Performance measure, Types of I/O device, Buses and interface to CPU, Parallel Processing. CSE 331 SOFTWARE ENGINEERING Theory: 3 Hours/week, 3 Credits Introduction: Overview of Software Industry, Introduction to Software Engineering, Software Development Process and Various Life Cycle Models. Requirement Analysis: Communication Techniques, Analysis Principles, Software Prototyping, Requirement Specification. Group Dynamics: Working in Teams, Characteristics of Successful Team, Understanding Group Dynamics, Team Roles and Temperament, Democratic Team and Chief Programmer Team Approach. Introduction to Extreme Programming, Analysis Modeling: Steps of system analysis, Feasibility study, Economic and technical analysis, System specification, the elements of analysis model, Data modeling, Functional modeling and information flow, Behavioral modeling, Mechanics of structured analysis, Data Dictionary. Software Design: Design principles, Design Concepts, effective modular design, design heuristics, Data Design, Architectural Design process, Transformation mapping, Transaction mapping, interface design, human-computer interface design, procedural design. Software Testing: Testing fundamentals, test case design, white-box testing, black-box testing, testing GUIs, Unit testing, Integration testing, validation testing, system testing, debugging. Maintenance: Major maintenance activities, estimating maintenance cost and productivity. Technical Metrics for Software: Software quality, Framework for technical metrics, metrics for analysis and design models, source code, testing and maintenance. Software Architecture: Pipe and Filter, Object Oriented, Event Based, Layered System, Data-centered repository, Process Control Architectures, Objet Oriented Software Engineering: O-O concepts, O-O analysis, Domain analysis, O-O analysis process, Object relational model. O-O design: system design process, object design process, O-O programming. O-O Testing: Testing strategies, test case design. Software Project Management: Cost estimation, risk analysis, project scheduling. Introduction to CASE Tools: What is CASE, taxonomy of CASE tools, iCASE environment, CASE repository, Example CASE tools. Intellectual Properties: Trade Marks, Copy Rights, Trade Secrets, Patents, Introduction to UML. CSE 332 SOFTWARE ENGINEERING LAB 3 Hours/Week, 1.5 Credits Laboratory works based on theory classes. CSE 333 DATABASE SYSTEM 3 Hours/week, 3.0 Credits Introduction: Purpose of Database Systems, Data Abstraction, Data Models, Instances and Schemes, Data Independence, Data Definition Language, Data Manipulation Language, Database Manager, Database administrator, Database Users, Overall System Structure, Advantages and Disadvantage of a Database Systems. Relationship Entity-Model: Entities and Entity Sets, Relationships and Relationship Sets, Attributes, Mapping Constraints, Keys, Entity-Relationship Diagram, Reducing of E-R Diagram to Tables, Generalization, Aggregation, Design of an E-R Database Scheme. Relational Model: Structure of Relational Database, The Relational Algebra, The Tuple Relational Calculus, The Domain Relational Calculus, Modifying the Database, Views. Relational Commercial Language: SQL, Query-by-Example, Quel. Relational Database Design: Pitfalls in Relational Database Design, Normalization using Functional Dependencies, Normalization using Multivalued Dependencies, Normalization using join Dependencies. File And System Structure: Overall System Structure, Physical Storage Media, File Organization, Organization of Records into Blocks, Sequential Files, Mapping Relational Data to Files, Data Dictionary Storage, Buffer Management. Indexing And Hashing: Basic Concepts, Indexing, B+- Tree Index Files, B-Tree Index Files, Static and Dynamic Hash Function, Comparison of Indexing and Hashing, Index Definition in SQL, Multiple Key Access. Query Processing: Query Interpretation, Equivalence of Expressions, Estimation of Query-Processing Cost, Estimation of Costs of Access Using Indices, Join Strategies, Join Strategies for parallel Processing, Structure of the query Optimizer. Concurrency Control: Schedules, Testing for Serializability, Lock-Based Protocols, Timestamp-Based Protocols, Validation Techniques, Multiple Granularity, Multiversion Schemes, Insert and Delete Operations. Distributed Database: Structure of Distributed Databases, Trade-off in Distributing the Database, Design of Distributed Database, Transparancy and Autonomy, Distributed Query Processing, Recovery in Distributed Systems, Commit Protocols, Concurrency Control, Deadlock Handling. CSE 334 DATABASE SYSTEM LAB 6 Hours/week, 3 Credits Laboratory works based on CSE 333. CSE 335 OPERATING SYSTEM and SYSTEM PROGRAMMING 3 Hours/week, 3 Credits Introduction: Operating Systems Concept, Computer System Structures, Operating System Structures. Process Management: Processes, Process Coordination, Deadlocks. Storage Management: Memory Management, Virtual Memory, Secondary Storage Management Files and Protection: File Systems, Protection. Distributed Systems: Distributed System Structure, Distributed Coordination, Distributed File Systems. Case Studies: Study of a representative Operating Systems, System Programming: Introduction to System Programming and Linux / Unix, Shell Programming, C Language for System Programming, Make and Make files, Process and Signals, Threads, Inter process Communications, X- Window Programming, Principle of single and multi user operating systems. CSE 336 OPERATING SYSTEMS and SYSTEM PROGRAMMING LAB 3 Hours/week, 1.5 Credits Laboratory works based on CSE 335. CSE 339 THEORY OF COMPUTATION 2 hours/Week, 2.0 Credits Finite Automata: Deterministic and nondeterministic finite automata and their equivalence. Equivalence with regular expressions. Closure properties. The pumping lemma and applications. Context-free Grammars: Definitions. Parse trees. The pumping lemma for CFLs and applications. Normal forms. General parsing. Sketch of equivalence with pushdown automata. Turing Machines: Designing simple TMs. Variations in the basic model(multi-tape, multi-head, nondeterminism). Church-Turing thesis and evidence to support it through the study of other models. Undecidability: The undecidability of the halting problem. Reductions to other problems. Reduction in general. References : 1. Introduction to Languages and the Theory of Computation, 2nd Edition, by J. C. Martin, McGraw Hill Publications, 1997. CSE 350 PROJECT WORK 2 hours/Week,1 Credits Based on CSE 333/CSE 331/CSE 327. CSE 351 MANAGEMENT INFORMATION SYSTEM 3 hours/Week, 3.0 Credits Introduction to MIS : Management Information System Concept, Definitions, Role of MIS, Approaches of MIS development. MIS and Computer : Computer Hardware for Information System, Computer Software for Information System, Data Communication System, Database Management Technology, Client-Server Technology. Decision Support System : Introduction, Evolution of DSS, Functions of a DSS, Development of DSS, Group Decisions of DSS, Relationship between MIS and DSS, Future Development of DSS, Application of MIS : Applications of Manufacturing Sector, Applications in Service Sector, Case Studies. CSE 303* DATABASE SYSTEM 3 Hours/week, 3.0 Credits Introduction: Purpose of Database Systems, Data Abstraction, Data Models, Instances and Schemes, Data Independence, Data Definition Language, Data Manipulation Language, Database Manager, Database administrator, Database Users, Overall System Structure, Advantages and Disadvantage of a Database Systems. Relationship Entity-Model: Entities and Entity Sets, Relationships and Relationship Sets, Attributes, Mapping Constraints, Keys, Entity-Relationship Diagram, Reducing of E-R Diagram to Tables, Generalization, Aggregation, Design of an E-R Database Scheme. Relational Model: Structure of Relational Database, The Relational Algebra, The Tuple Relational Calculus, The Domain Relational Calculus, Modifying the Database, Views. Relational Commercial Language: SQL, Query-by-Example, Quel. Relational Database Design: Pitfalls in Relational Database Design, Normalization using Functional Dependencies, Normalization using Multivalued Dependencies, Normalization using join Dependencies. File and System Structure, Indexing And Hashing, Query Processing, Concurrency Control, Distributed Database. CSE 304* DATABASE SYSTEM LAB 6 Hours/week, 3 Credits Laboratory works based on CSE 303. *(E - MAT) CSE 305* OPERATING SYSTEMS 3 Hours/week, 3 Credits Introduction: Operating Systems Concept, Computer System Structures, Operating System Structures. Process Management: Processes, Process Coordination, Deadlocks. Storage Management: Memory Management, Virtual Memory, Secondary Storage Management Files and Protection: File Systems, Protection. Distributed Systems: Distributed System Structure, Distributed Coordination, Distributed File Systems. Case Studies: Study of a representative Operating Systems. CSE 306* OPERATING SYSTEMS LAB 3 Hours/week, 1.5 Credits Laboratory works based on CSE 305. *(E - MAT) CSE 400 THESIS 4 hours/week, 2 Credits Project work based on all major courses. CSE 402 THESIS 6 hours/week, 3 Credits Project work based on all major courses. CSE 421 COMPUTER INTERFACING 2 Hours/week, 2 Credits Bus System: ISA, EISA, PCI AGP, Memory Bus. Interface Components: DAC, ADC, Stepper Motor, Transducers, printers, motors and peripherals. Data Communication concepts: Serial communication, parallel communication, RS2332, Centronics, SCSI, USB and GPIB standards. Design of computer interface systems: Development of hardware, development of control software development of data analysis and display. CSE 422 COMPUTER INTERFACING LAB 2 Hours/week, 1.0 Credits Laboratory works based on CSE 421. CSE 431 COMPUTER NETWORKING 3 Hours/week, 3.0 Credits Introduction: Introduction to Computer Networks, Network Goals, Applications of Networks, Network Structure, Network Architectures, The OSI Reference Model, Data Transmission in the OSI Model, OSI Terminology, Connection-Oriented and Connectionless Services, Service Primitives, Public Networks, The ARPANET, SNA. Local Area Network : LAN Technology - Architecture, Topology, Wireless LAN. LAN System - Ethernet and Fast-Ethernet, Token Ring and FDDI, ATM LANs. Bridges - Bridges operation, outing through the bridge, ATM LAN emulation. Wide Area Network: Circuit switching and Packet Switching concept, Frame Relay - frame relay protocol architecture, frame relay call control, user data transfer, network function and congestion control. The Data Link Layer: Services Provided to the Network Layer, Framing, Error Control, Flow Control, Error Detection and Correction, Error Correcting Codes, Error Detecting Codes, Stop-and-Wait Protocol, Sliding Window Protocol, Go Back n Protocol, Selective Repeat Protocol, Performance of Stop and Wait Protocol and Sliding Window Protocol, The Data Link Layer in Public Networks, The Data Link Layer in ARPANET. Communication Architecture and Protocol: Protocols and Architecture - protocols , network reference model, TCP/IP protocol suite. Internetworking - principles of internetworking, connectionless internetworking, The Internet protocol, Routing Protocol, Ipv6 and ICMv6. Transport Protocol - Transport Services, Protocol mechanisms, TCP, UDP. Network Security - Security requirements and attacks, Privacy with conventional encryption, Message Authentication and Hash functions, Public-key encryption and digital signatures, Ipv4 and Ipv6 security. Distributed Applications: Abstract Syntax Notation One (ASN.1), Network Management - SNMPv2, Electronic mail - SMTP and MIME, Uniform Resource Locator (URL) and Universal Resource Identifier (URI), Hypertext Transfer Protocol (HTTP). CSE 432 COMPUTER NETWORKING LAB 4 Hours/week, 2 Credits Laboratory works based on CSE 431. CSE 433 ARTIFICIAL INTELLIGENCE 3 Hours/week, 3 Credits What is Artificial Intelligence: The AI problems, The underlying assumption, What is an AI technique. Problems, Problem spaces and Search: Defining the problem as a state space search, Production system, Problem characteristics. Heuristics Search Techniques: Generate and Test, Hill climbing, Best First Search, Problem Reduction, Constraint Satisfaction, Means-Ends Analysis. Knowledge Representation Issues: Representation and Mappings, Approaches to knowledge Representation, Issues in Knowledge representation. Using Predicate logic: Representing simple facts in logic, Representing Instance and Isa relationships, Computable functions and Predicates, Resolution. Representing Knowledge using Rules: Procedural versus Declarative Knowledge, Logic Programming, Forward versus Backward Reasoning, Matching. Game playing: Overview, The Mimimax Search Procedure, Adding Alpha-Beta cutoffs, Additional refinements, iterative Deepening, Planning: Overview, An example Domain: The Blocks World, Components of a planning system, Goal stack planning, Understanding: What is Understanding, What makes Understanding hard, Understanding as constraint satisfaction. natural Language Processing: Introduction, Syntactic Processing, Semantic Analysis, Discourse and Pragmatic Processing. Expert systems: representing and using domain knowledge, Expert system shells explanation, Knowledge Acquisition. AI Programming Language: Prolog, LISP CSE 434 ARTIFICIAL INTELLIGENCE LAB 3 Hours/week, 1.5 Credits Laboratory works based on CSE 433. CSE 439 COMPILER CONSTRUCTION 3 Hours/week, 3.0 Credits Introduction to compilers: Introductory concepts, types of compilers, applications, phases of a compiler. Lexical analysis: Role of the lexical analyzer, input buffering, token specification, recognition of tokens, symbol tables. Parsing: Parser and its role, context free grammars, top-down parsing. Syntax-directed translation: Syntax-directed definitions, construction of syntax trees, top-down translation. Type checking: Type systems, type expressions, static and dynamic checking of types, error recovery. Run-time organization: Run-time storage organization, storage strategies. Intermediate code generation: Intermediate languages, declarations, assignment statements. Code optimization: Basic concepts of code optimization, principal sources of optimization. Code generation: Features of some common compilers: Characteristic features of C, Pascal and Fortran compilers. CSE 440 COMPILER CONSTRUCTION LAB 3 Hours/week, 1.5 Credits Laboratory works based on theory classes. CSE 451 COMPUTER GRAPHICS 3 Hours/week, 3.0 Credits Computer Graphics Programming: OpenGL. Camera Analogy: Viewing, Windowing, Clipping. Projective Transformation(Ray-tracing): Orthogonal Projection, Perspective Projection, Vector: Normal Vector, View Vector, Matrix: 2D and 3D Rotation and Translation Matrix, Raster Graphics: Line Drawing, Anti-aliasing, Polygon Filling Algorithms, Hidden Surface Removal: z-buffering, Lighting and Surface Property: Diffused Light, Ambient Light, Specular Light, Lighting Models for reflection, refraction and transparency, Shading: Flat Shading, Lambert Shading, Phong Shading, Texture Mapping: Texture Fundamentals, Texture Blending, Curves and Surfaces: Types of Curves, Cubic-Spline, Beta-Spline, NURBS, Animation: Real time animation, Hardware for real-time animation, Character Animation, Computer Games, Movies, Image Formats: PPM, BMP, Image Based Rendering, Morphing: View-morphing, Volume Metamorphosis. References: Computer Graphics: Principles and Practice, Folley, Van Damn, Feiner, Hughes, Computer Graphics: A Programming Approach: Steven and Harrington. OpenGL(r) 1.2 Programming Guide, Third Edition: The Official Guide to Learning OpenGL, Version 1.2: by Mason Woo, Jackie Neider, Tom David, Dave Shriner, OpenGL Architecture Review Board, Tom Davis, Dave Shreiner. Graphics Programming in C: Roger T. Stevens. Texture and Modeling: by David S. Ebert. CSE 452 COMPUTER GRAPHICS PROGRAMMING LAB 3 Hours/week, 1.5 Credits Laboratory works based on theory classes. CSE 453 INTERNET PROGRAMMING AND MULTIMEDIA BASICS 2 Hours/week 2.0 Credits Internet Programming - An overview of distributed Java applications, stream-based network applications, remote objects, database connectivity, and agents. Case studies from enterprise applications and security domains. Multimedia systems - introduction; Coding and compression standards; Architecture issues in multimedia; Operating systems issues in multimedia - real-time OS issues, synchronization, interrupt handling; Database issues in multimedia - indexing and storing multimedia data, disk placement, disk scheduling, searching for a multimedia document; Networking issues in multimedia - Quality-of-service guarantees, resource reservation, traffic specification, haping, and monitoring, admission control; Multicasting issues; Session directories; Protocols for controlling sessions; Security issues in multimedia digital water-marking, partial encryption schemes for video streams; Multimedia applications - audio and video conferencing, video on demand, voice over IP. CSE 454 INTERNET PROGRAMMING AND MULTIMEDIA LAB 2 Hours/week 1.0 Credits Laboratory works based on theory class. OPTIONS : CSE 425 DIGITAL SIGNAL PROCESSING 3 hours/week, 3.0 Credits Discrete Signals and systems. Z transform. Fourier transform, FFT, DFT, Digital filter design technique, interpolation, Decimation. CSE 426 DIGITAL SIGNAL PROCESSING LAB 3 hours/week, 1.5 Credits Laboratory works based on theory classes. CSE 427 FIBER OPTICS 3 Hours/week, 3.0 Credits Optical fiber: Nature of list, Optics low, Optical fiber mode, Single mode fiber, Graded index structure. Signal degradation in optical fibers: Attenuation, Signal distortion, Pulse Broadening mode coupling. Optical sources: LED, Laser diodes, Light source linearity modal partition and reflection noise. Power launching and Coupling: Source to fiber power launching, lansing scheme, fiber to fiber joints, Splicing fiber connectors. Photodetectors: Basic principle, photodelectors noise, response time, Avalauch multiplication noise. Optical receiver operation: Receiver configuration, digital receiver performance preamplifiers. Digital transmission system: Point to point link, line coding, Eye pattern, system performance. Advanced systems and techniques: WDM, Local area networks, Optical amplifier, Photonic switching. CSE 428 FIBER OPTICS LAB 3 Hours/week, 1.5 Credits Laboratory works based on theory classes. CSE 441 NEURAL NETWORK 3 Hours/week, 3.0 Credits Hopfield Model: Associative Memory, Stochastic Networks, Correlated Patterns. Introduction: Neuroscience, History and Issues. Optimization Problems: Weighted Matching Problem, Traveling Salesman Problem. Neural Network: Feed-Forward Network, Multi-Layer Network. Unsupervised Learning: Hebbian Learning, Competitive learning. CSE 442 NEURAL NETWORK LAB 3 Hours/week, 1.5 Credits Laboratory works based on Theory classes. CSE 457 Parallel Processing 3 Hours/week, 3.0 Credits Parallel Computing architectures: Overview of the major classes of architectures and their evolution. Parallel programming models and performance analysis: Modeling, performance analysis, efficiency, and benchmarking. Programming parallel computers: Overview of parallel programming, parallel languages, parallelizing compilers, message passing and data parallel Programming models. Message passing programming and MPI: Uses; historical background and use on MIMD machines; current implementations; programming using the Message Passing Interface (MPI). Data parallel programming and HPF : Data parallel programming paradigm; historical background and use on SIMD machines; array syntax; Fortran 90 and High Performance Fortran (HPF). Shared memory programming, threads and OpenMP : Use of shared memory machines; threads; mutual exclusion; locks, semaphores and monitors; parallel Java; programming using OpenMP. Case Study : Monte Carlo Simulation of the Ising Model - Case study from computational physics; different approaches to parallelism; regular vs irregular problems; techniques and tricks for parallel implementation in MPI, HPF, OpenMP and threads. Distributed computing: Distributed and concurrent computing on loosely coupled distributed systems; motivation and applications; transparency and metacomputing; networks and clusters of workstations; cluster management systems. Distributed computing middleware: Middleware; RPC; DCE; CORBA; Java RMI. Middleware, DCE CORBA Java RMI. Grid computing: The Grid; Grid computing (metacomputing over wide-area networks); grid computing environments (Globus, Legion, DISCWorld, ...); Internet computing (SETI@Home, etc). Grid computing: Internet computing. CSE 458 PARALLEL PROCESSING LAB 3 Hours/week, 1.5 Credits Laboratory works based on theory classes. CSE 461 DISTRIBUTED SYSTEM 3 Hours/week, 3.0 Credits Fundamental Distributed Algorithms: Clock synchronization, partial order of events, election algorithms, distributed shared memory, process synchronization. File and Directory Systems: Naming and name resolution; name, directory, and file servers; cashing. Distributed Databases: Locking and concurrency control, deadlock handling, stable storage, two-phase commit. Security and Protection: Encryption, public and private keys, authentication, privacy. Distributed Services: File transfer, electronic mail, World-Wide Web. Examples of Distributed Systems: Some of: Mach, Amoeba, OSF DCE, CORBA, DCOM. Reference: Distributed Systems -- Concepts and Design, 3rd ed., by G. Coulouris, J. Dollimore, T. Kindberg, Addison--Wesley,2001. CSE 462 DISTRIBUTED SYSTEM LAB 3 Hours/week, 1.5 Credits Laboratory works based on theory classes. CSE 463 ADVANCED DATABASE SYSTEM 3 Hours/week, 3.0 Credits Introduction : Object oriented Database, Data Model, Design, Languages; Object Relational Database: Complex data types, Querying with complex data types, Design; Distributed Database: Levels of distribution transparency, Translation of global queries to fragment queries, Optimization of access strategies, Management of distributed transactions, Concurrency control, reliability, Administration; Parallel Database: Different types of parallelism, Design of parallel database; Multimedia Database Systems: Basic concepts, Design, Optimization of access strategies, Management of Multimedia Database Systems, Reliability; Database Wire-housing/Data mining: Basic concepts and algorithms. Reference: Oracle Advanced PL/SQL Programming with CD-ROM, by Scott Urman. CSE 464 ADVANCED DATABASE SYSTEM LAB 3 Hours/week, 1.5 Credits Laboratory works based on theory classes. CSE 465 Digital Image Processing 3 Hours/week, 3.0 Credits Digital Image Fundamentals: Digital Image Fundamentals, A Simple Image Model, Sampling and Quantization, Basic Relationship between Pixels, Image Geometry. Image Transform: Introduction to the Fourier Transform, The Discrete Fourier Transform, Properties of 2D Fourier Transform, The Fast Fourier Transform, Other Separable Image Transform. Image Enhancement: Background, Enhancement by Point-Processing, Spatial Filtering, Enhancement in Frequency Domain, Color Image Processing. Image Restoration: Degradation Model, Diagonalization of Circulant and Block-Circulant Matrices, Algebraic Approach to Restoration, Inverse Filtering, Geometric Transformation. Morphological Image and Signal Processing: The principle of Mathematical Morphology, Erosion and Dilation in the Euclidean Space, Closings and Openings, Grayscale Morphology, Links between Links and Sets, Grayscale Morphological Transformations, Image Segmentation: Detection of Discontinuities, Edge Linking and Boundary Detection, Thresholding, Region-Oriented Segmentation, The use of Motion in Segmentation. References : 1. Digital Image Processing Rafael C. Gonzalez and Richard E. Woods, Pearson Education Asia. 2. Non-Linear Digital Filter : Principles and Applications I. Pitas and A. N. Venetsanopoulos, Kluwer Academic Publications. CSE 466 Digital Image Processing Lab 3 Hours/week, 1.5 Credits Laboratory works based on theory classes. CSE 467 VLSI DESIGN 3 Hours/week, 3.0 Credits VLSI design methodology: top-down design approach, technology trends. NMOS, CMOS inverters, pass transistor and pass gates: dc and transient characteristics. Brief overview of fabrication process: NMOS, CMOS, Bi-CMOS process. NMOS and CMOS layout, stick diagram and design rules. CMOS circuit characteristics and performance estimation: resistance and capacitance, rise and fall time, power estimation. Buffer circuit design. Introduction to Bi-CMOS circuits. Complex CMOS gates. CMOS building block: multiplexer, barrel shifter, adder, counter, multipliers. Data Path and memory structures. Design style: FPGA and PLDs. Introduction to HDL: basic digital design using VHDL. CSE 468 VLSI DESIGN LAB 3 Hours/week, 1.5 Credits Laboratory works based on theory classes.     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