IT802
Course Name:
Artificial Intelligence (IT802)
Programme:
M.Tech (IT)
Category:
Elective Courses (Ele)
Credits (L-T-P):
(3-0-0) 3
Content:
Problem Solving: Solving Problems by Searching, heuristic search techniques, constraint satisfaction problems, stochastic search methods. Game Playing: minimax, alpha-beta pruning. Knowledge and Reasoning: Building a Knowledge Base: Propositional logic, first order logic, situation calculus. Theorem Proving in First Order Logic. Planning, partial order planning. Uncertain Knowledge and Reasoning, Probabilities, Bayesian Networks. Learning: Overview of different forms of learning, Learning Decision Trees, Neural Networks. Introduction to Natural Language Processing, Applications and Recent Research Trends.
References:
Nilsson, Nils, Artificial Intelligence: A New Synthesis. Morgan Kaufmann Publishers, 1998.
Russell, Stuart J and Norvig Peter, Artificial Intelligence: A Modern Approach, Prentice Hall, 2003.
NPTEL Videos: Artificial Intelligence
Department:
Information Technology