Introduction-AI probelms - Problem characteristics - Agents - Structure of an agent - Problem Formulation - Uninformed search strategies - Heuristics - inform search strategies - Constraint satisfaction

Logical Agent - Propositional logic - Propositional theorem proving - Propositional model checking - Agent based on Propositional logic - Inferences - First order Logic - Inference in first order -Propositional vs First order Inference - Unification and lift - Forward Chaining - Backward Chaining - resolution

Classical Planning - Algorithm for Classical Planning - Heuristics for Planning - Hierarchial Planning - Non deterministic domain - Time, Schedule and Resources - Analysis - Knowledge representation

Uncertainity - Review of Probability - Probabilistic reasoning - Semantic Network - Bayesian Network - Inference in Bayesian Network - Temporal Models - Hidden mark of Models

Learning from observation - Inductive Learning - Decision tree- Explanation based learning - Statisticl Learning Methods - Reinforcement Learning