Artificial Intelligence - Free Video course (Co-ordinated by: IIT Kharagpur)

 NPTEL Syllabus

 

Artificial Intelligence -Video course

ARTIFICIAL INTELLIGENCE

 

The course will cover basic ideas and techniques underlying the
design of intelligent computer systems. Topics include:
Introduction to AI and intelligent agents.
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.

 

 Artificial Intelligence Course Details:-

        Introduction to Artificial Intelligence

        Intelligent Agents

        State Space Search

        Uninformed Search

        Informed Search

        Informed Search - 2

        Two Players Games - I

        Two Players Games - II

        Constraint Satisfaction Problems - 1

        Constraint Satisfaction Problems 2

        Knowledge Representation and Logic

        Interface in Propositional Logic

        First Order Logic

        Reasoning Using First Order Logic

        Resolution in FOPL

        Rule Based System

        Rule Based Systems II

        Semantic Net

        Reasoning in Semantic Net

        Frames

        Planning - 1

        Planning - 2

        Planning - 3

        Planning - 4

        Rule Based Expert System

        Reasoning with Uncertainty - I

        Reasoning with Uncertainty - II

        Reasoning with Uncertainty III

        Reasoning with Uncertainty - IV

        Fuzzy Reasoning - I

        Fuzzy Reasoning - II

        Introduction to Learning - I

        Introduction to Learning - II

        Rule Induction and Decision Trees - I

        Rule Induction and Decision Trees - II

        Learning Using neural Networks - I

        Learning Using Neural Networks - II

        Probabilistic Learning

        Natural Language Processing - I

        Natural Language Processing II

Coordinators:

Prof. Anupam Basu
Department of Computer Science
and EngineeringIIT Kharagpur

Prof. S. Sarkar
Department of Computer Science
and EngineeringIIT Kharagpur