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28
Sessions

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Course Description

Artificial intelligence is the branch of computer science concerned with making computers behave like humans.

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Course Syllabus
  • Lecture - 1 Introduction
  • Lecture - 2 Problem Solving by Search
  • Lecture - 3 Searching with Costs
  • Lecture - 4 Informed State Space Search
  • Lecture - 5 Heuristic Search: A* and Beyond
  • Lecture - 6 Problem Reduction Search: AND/OR Graphs
  • Lecture - 7 Searching Game Trees
  • Lecture - 8 Knowledge Based Systems: Logic and Deduction
  • Lecture - 9 First Order Logic
  • Lecture - 10 Inference in First Order Logic
  • Lecture - 11 Resolution - Refutation Proofs
  • Lecture - 12 Resolution Refutation Proofs
  • Lecture - 13 Logic Programming : Prolog
  • Lecture - 14 Prolog Programming
  • Lecture - 15 Prolog: Exercising Control
  • Lecture - 16 Additional Topics
  • Lecture - 17 Introduction to Planning
  • Lecture - 18 Partial Order Planning
  • Lecture - 19 GraphPLAN and SATPlan
  • Lecture - 20 SATPlan
  • Lecture - 21 Reasoning Under Uncertainity
  • Lecture - 22 Bayesian Networks
  • Lecture - 23 Reasoning with Bayes Networks
  • Lecture - 24 Reasoning with Bayes networks (Contd.)
  • Lecture - 25 Reasoning Under Uncertainity: Issues
  • Lecture - 26 Learning : Decision Trees
  • Lecture - 27 Learning : Neural Networks
  • Lecture - 28 Back Propagation Learning
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