Lecture Notes

SYLLABUS

  • Week 1: Introduction to AI
  • Week 2: Solving problems by searching
  • Week 3: Uninformed (blind) search
  • Week 4: A* Search and Heuristics
  • Week 5: Local search algorithms
  • Week 6: Bounded Memory Search
  • Week 7: Midterm
  • Week 8: Game Trees: Minimax
  • Week 9: Constraint Satisfaction Problems
  • Week 10: Game Trees: Expectimax; Utilities
  • Week 11: Markov Decision Processes
  • Week 12: Reinforcement Learning
  • Week 13: Probability
  • Week 14: Neural Networks and Decision Trees