Artificial Intelligence detailed syllabus scheme for B.Tech Computer Engineering (CE), 2017-18 onwards has been taken from the DBATU official website and presented for the Bachelor of Technology students. For Subject Code, Course Title, Lecutres, Tutorials, Practice, Credits, and other information, do visit full semester subjects post given below.
For all other DBATU Syllabus for Computer Engineering 7th Sem 2017-18, do visit CE 7th Sem 2017-18 Onwards Scheme. The detailed syllabus scheme for artificial intelligence is as follows.
Artificial Intelligence Syllabus for Computer Engineering (CE) 4th Year 7th Sem 2017-18 DBATU
Course Objectives and Outcomes:
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Unit I
Introduction: Definition of A.I, Foundation of A.I., History, intelligent Agents, Agent Architecture, A.I. A.I. Representation, Properties of internal representation, Futures of A.I, A.I Techniques, Importance of A.I – Representation of Knowledge, Knowledge Base Systems, State Space Search -Production Systems – Problem Characteristics.
Unit II
Heuristics Search Techniques: Generate and test – Hill Climbing, Depth First Search, Breadth First Search, Best First Search, A* and AO* Algorithm, Problem reduction – Constraint satisfaction -Means-Ends Analysis. Game playing – Minimax and Alpha-Beta Cutoffs, waiting for Quiescence, Secondary search.
Unit III
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Unit IV
Structured Knowledge Representation: TMS (Truth maintenance system),Statistical and probabilistic reasoning, Associative Networks, Semantic Nets, Frames Structures, Conceptual Dependencies and Scripts Learning – Concept of Learning – Learning Automata, Genetic Algorithm, Learning by induction, Planning: Block world, strips, Implementation using goal stack, Non linear planning with goal stacks, Hierarchical planning, least commitment strategy.
Unit V
Natural Language Processing: Overview of Linguistics, Grammars and Languages, basic Parsing techniques, Semantic analysis and representation structures. Natural Language generation and Natural Language Systems. Syntactic Processing, ATN, RTN.
Unit VI
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Text Books:
- Eugene, Charniak, Drew Mcdermott, “Introduction to artificial intelligence”, Addison Wesley, 1985.
- Eiaine Rich and Kerin Knight, “Artificial Intelligence”, McGraw-Hill, Second Edition.
- Anindita Das Bhattacharjee, Artificial Intelligence and Soft Computing for Beginners, 2nd Edition, SPD Publication.
Reference Book:
- Stuart Russell and Peter Nerving, “Artificial Intelligence: A Modern Approach”, Prentice Hall, 2nd Edition.
- Ivan Bratko, “Prolog Programming For Artificial Intelligence”, 2nd Edition Addison Wesley, 1990.
- Herbert A. Simon, “The Sciences of the Artificial “, MIT Press, 3rd Edition (2nd Printing), 1995.
- Tim Jones, “Artificial Intelligence Application Programming”, Dreamtech Publication.
For detail syllabus of all other subjects of Computer Engineering (CE) 7th Sem 2017-18 regulation, visit CE 7th Sem Subjects syllabus for 2017-18 regulation.