Vishwakarma Institute of Technology B.E. (Electronics)

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Bansilal Ramnath Agarwal Charitable Trust’s Vishwakarma Institute of Technology, Pune – 411 037 Department of Electronics Engineering FF No. : 654 EC42102 :: ARTIFICIAL INTELIGENCE Credits: 03 Prerequsit: NIL Teaching Scheme: - Theory 3 Hrs/Week OBJECTIVE:- • To provide a strong foundation of fundamental concepts in Artificial Intelligence • To provide a basic exposition to the goals and methods of Artificial Intelligence • To enable the student to apply these techniques in applications which involve perception, reasoning and learning. Mapping with PEO : 2,3,6,7,8,9 Unit 1 : Introduction To Artificial Intelligence (6 Hrs) A) AI task domain, problem representation in AI, Problem characteristics. B) Game playing using AI. Unit 2 : Searching Techniques (9 Hrs) A) A.I. search process, non-heuristic and heuristic search techniques, , constrain satisfaction and their applications. B) Min-max search procedure. Unit 3 : Knowledge Representation (8 Hrs) A) Hierarchy of knowledge, types of knowledge, knowledge representation, methods for knowledge representation, predicate logic, Problems on predicate logic. B) Introduction to PROLOG. Unit 4 : Planning (8 Hrs) A) Components of planning system, goal stack planning technique. B) Nonlinear Planning using Constraint Posting. Unit 5: AI Tools (9 Hrs) A) Expert System Shells, Explanation, and Knowledge Acquisition. Human expert behaviors, Expert system components, structure of expert system, the production system, how expert system work and Expert system development for particular application. Natural language processing: Introduction, Syntactic Processing, Semantic Analysis, Discourse and Pragmatic Processing. Architectures and functions in ANN, various learning rules. Building an ANN. B) Building an Expert System Structure & Syllabus of B.E (Electronics ) Program – Pattern ‘C11’, Rev01, dt. 2/4/2011 44
Bansilal Ramnath Agarwal Charitable Trust’s Vishwakarma Institute of Technology, Pune – 411 037 Department of Electronics Engineering Text Books:- 1. Elain Rich and Kerin Knight, “Artificial Intelligance” 2. Elements of Artificial Neural Networks - by Kishan Mehrotra, Chilukurik. Mohan, Sanjay Ranka Penram International Publishing (India) Pvt. Ltd. Second edition, Reference Books:- 1. Eugane. Charniak, Frew, “Introduction to Artificial Intelligance”, McDermott 2. Kishan Mehrotra, Sanjay Rawika, K. Mohan, “Arificial Neural Network” 3. Rajendra Akerkar, “Introduction to Artificial Intelligance”, Prentice Hall Publication 4. Relevant IEEE papers. Structure & Syllabus of B.E (Electronics ) Program – Pattern ‘C11’, Rev01, dt. 2/4/2011 45
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Vishwakarma Institute of Technology B.E. (Electronics)

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