Mech

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  • Topic: Parallel computing, Embedded system, Unified Modeling Language
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AFFILIATED INSTITUTIONS CURRICULUM 2008
CURRICULA AND SYLLABI FOR VI SEMESTER

ANNA UNIVERSITY CHENNAI :: CHENNAI 600 113

B.E. COMPUTER SCIENCE AND ENGINEERING SEMESTER VI
(Applicable to the students admitted from the Academic year 2008–2009 onwards) Code No. Course Title L T P C THEORY CS2351 CS2352 CS2353 CS2354 E1 E2 PRACTICAL CS2357 GE2321 CS2358 Artificial Intelligence Principles of Compiler Design Object Oriented Analysis and Design Advanced Computer Architecture Elective – I Elective – II Object Oriented Analysis and Design Lab Communication Skills Lab Internet Programming Lab 3 3 3 3 3 3 0 0 1 0 0 0 0 1 0 0 0 0 0 2 0 0 0 0 3 3 3 3 4 3 3 4 3 2 2 2

LIST OF ELECTIVES
Code No. CS2021 CS2022 CS2023 CS2024 IT2353 Course Title

SEMESTER VI – Elective I

L 3 3 3 3 3

T 0 0 0 0 0

P 0 0 0 0 0

C 3 3 3 3 3

Multicore Programming Visual Programming Advanced JAVA Programming Parallel Programming Web Technology

Code No. CS2028 MA2264 IT2354 CS2029 IT2043 CS2030

Course Title

SEMESTER VI – Elective II

L 3 3 3 3 3 3

T 0 0 0 0 0 0

P 0 0 0 0 0 0

C 3 3 3 3 3 3

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UNIX Internals Numerical Methods Embedded Systems Advanced Database Technology Knowledge Management High Performance Microprocessors

Page 1

CS2351

ARTIFICIAL INTELLIGENCE

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LTPC 3003

Aim: To learn the basics of designing intelligent agents that can solve general purpose problems, represent and process knowledge, plan and act, reason under uncertainty and can learn from experiences UNIT I PROBLEM SOLVING 9 Introduction – Agents – Problem formulation – uninformed search strategies – heuristics – informed search strategies – constraint satisfaction UNIT II LOGICAL REASONING 9 Logical agents – propositional logic – inferences – first-order logic – inferences in firstorder logic – forward chaining – backward chaining – unification – resolution UNIT III PLANNING 9 Planning with state-space search – partial-order planning – planning graphs – planning and acting in the real world UNIT IV UNCERTAIN KNOWLEDGE AND REASONING 9 Uncertainty – review of probability - probabilistic Reasoning – Bayesian networks – inferences in Bayesian networks – Temporal models – Hidden Markov models UNIT V LEARNING 9 Learning from observation - Inductive learning – Decision trees – Explanation based learning – Statistical Learning methods - Reinforcement Learning TOTAL: 45PERIODS TEXT BOOK: 1. S. Russel and P. Norvig, “Artificial Intelligence – A Modern Approach”, Second Edition, Pearson Education, 2003. REFERENCES: 1. 2. 3. David Poole, Alan Mackworth, Randy Goebel, ”Computational Intelligence : a logical approach”, Oxford University Press, 2004. G. Luger, “Artificial Intelligence: Structures and Strategies for complex problem solving”, Fourth Edition, Pearson Education, 2002. J. Nilsson, “Artificial Intelligence: A new Synthesis”, Elsevier Publishers, 1998.

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Page 3

CS2352

PRINCIPLES OF COMPILER DESIGN

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LTPC 3024

UNIT I LEXICAL ANALYSIS 9 Introduction to Compiling- Compilers-Analysis of the source program-The phasesCousins-The grouping of phases-Compiler construction tools. The role of the lexical analyzer- Input buffering-Specification of tokens-Recognition of tokens-A language for specifying lexical analyzer. UNIT II SYNTAX ANALYSIS and RUN-TIME ENVIRONMENTS 9 Syntax Analysis- The role of the parser-Context-free grammars-Writing a grammar-Topdown parsing-Bottom-up Parsing-LR parsers-Constructing an SLR(1) parsing table. Type Checking- Type Systems-Specification of a simple type checker. Run-Time Environments-Source language issues-Storage organization-Storage-allocation strategies. UNIT III INTERMEDIATE CODE GENERATION 9 Intermediate languages-Declarations-Assignment statements - Boolean expressionsCase statements- Backpatching-Procedure calls UNIT IV CODE GENERATION 9 Issues in the design of a code generator-...
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