Electronics and Telecommunication Engineering - Vishwakarma ...

Bansilal Ramnath Agarwal Charitable Trust’s
Vishwakarma Institute of Technology, Pune – 411 037
Department of Electronics and Telecommunication Engineering
FF No.: 654
EC42102 :: ARTIFICIAL INTELIGENCE
Credits: 03
Prerequisite:
Teaching Scheme: - Theory 3 Hrs/Week
NIL
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 PEOs:2,3,4,6,7,8,9
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 (E&TC) Program – Pattern ‘C11’, Rev01, dt. 2/4/2011
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