Unit 0: Introduction
   AI: history and today, Turing test.  
   Anti-AI: Captcha and the ESP game
Unit 1: Machine Learning
   Clustering
   Classification
      k-Nearest-Neighbor classifier
      Decision trees
      Support Vector Machines
      Neural networks
   Probability and statistics basics
   Bayesian networks
   Speech recognition
Unit 2: Search
   Uninformed search
      Breadth-first search, uniform-cost search, depth-first search, iterative-deepening
   Informed search 
      A* algorithm 
   Search as optimization
      Hill-climbing 
      Simulated annealing, genetic algorithms
      Continuous optimization
      Constraint satisfaction 
   Game playing
      Minimax, alpha-beta pruning
   Game theory  
Unit 3: Logic
   Propositional logic, First-Order Logic
      Deductive inference, unification, forward and backward chaining, resolution