INTRODUCTION TO ARTIFICIAL INTELLIGENCE
Course Code BAI654D
CIE Marks 50
Teaching Hours/Week (L: T:P: S) 3:0:0:0
SEE Marks 50
Total Hours of Pedagogy 40
Total Marks 100
Credits 03
Exam Hours 03
Examination type (SEE) Theory
Module-1
What is artificial intelligence? Problems, Problem Spaces, and search
Text Book 1: Ch 1, 2
Module-2
Knowledge Representation Issues, Using Predicate Logic, representing knowledge using Rules.
Text Book 1: Ch 4, 5 and 6.
Module-3
Symbolic Reasoning under Uncertainty, Statistical reasoning
Text Book 1: Ch 7, 8
Module-4
Game Playing, Natural Language Processing
Text Book 1: Ch 12 and 15
Module-5
Learning, Expert Systems.
Text Book 1: Ch 17 and 20
Suggested Learning Resources:
Text Books:
1. E. Rich, K. Knight & S. B. Nair, Artificial Intelligence, 3rd Edition, McGraw Hill.,2009
Reference Books
2. Stuart Rusell, Peter Norving, Artificial Intelligence: A Modern Approach, 2nd Edition, Pearson Education
3. Dan W. Patterson, Introduction to Artificial Intelligence and Expert Systems, 1st Edition,Prentice Hal of India, 2015
4. G. Luger, Artificial Intelligence: Structures and Strategies for complex problem Solving, 4th Edition, Pearson Education, 2002.
5. N.P. Padhy “Artificial Intelligence and Intelligent Systems”, Oxford University Press, 2015

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