Introduction AI“ AI problems - Problem Characteristics -Agents - Structure of an agent - Problem formulation - uninformed search strategies - heuristics - informed search strategies -“ constraint satisfaction

Logical agents - propositional logic - inferences -first-order logic - inferences in first order logic - propositional Vs. first order inference -unification &lifts - forward chaining - backward chaining -resolution.

Planning with state-space search - partial-order planning - planning graphs - planning and acting in the real world.

Uncertainty - review of probability - probabilistic Reasoning - Semantic networks - Bayesian networks - inferences in Bayesian networks -Temporal models - Hidden Markov models

Learning from observation - Inductive learning - Decision trees - Explanation based learning - Statistical Learning methods -Reinforcement Learning- Neural net learning & Genetic learning. Case Study: Security in AI - Home Security, Crime prevention Camera, Military Reconnaissance, Offshore oil & Gas threat detection.