Syllabus

Lectures

Section Q

Compass2g

Piazza

Videos

  1. August 29: Intro to AI (pdf), Reading: Ch. 1
  2. August 31: History and Themes (pdf), Reading: Ch. 1
  3. September 5: Agents (pdf), Reading: Ch. 2
  4. September 7: Search Intro (pdf), Reading: Ch. 3
  5. September 12: Uninformed search (pdf), Reading: Sec. 3.1-3.4
  6. September 14: Informed search, (pdf) Reading: Sec. 3.5-3.6, Homework: Assignment 1 is out
  7. September 19: Constraint Satisfaction Problems (pdf), Reading: Ch. 6
  8. September 21: Planning (pdf), Reading: Ch. 10
  9. September 26: Minimax search (pdf), Reading: Ch. 5
  10. September 28: Stochastic games and stochastic search (pdf), Assignment 1 due October 2
  11. October 3: Game theory (pdf), Reading: Sec. 17.5-17.6
  12. October 5: Game theory cont., Homework: Assignment 2 is out
  13. October 10: Probability (pdf), Reading: Ch. 13
  14. October 12: Midterm review
  15. October 17: Midterm (in class)
  16. October 19: Probability cont., Reading: Ch. 13
  17. October 24: Bayesian Inference (pdf)
  18. October 26: Lecture starts at 5:15pm Bayesian Networks (pdf) Reading: Ch. 14, Assignment 2 due October 30
  19. October 31: Lecture cancelled
  20. November 2: Lecture starts at 5:15pm Bayesian Network Inference and Learning (pdf) Reading: Ch. 20, Homework: Assignment 3 is out
  21. November 7: Machine learning, Reading: Ch. 18
  22. November 9: Perceptrons, neural networks, Reading: Sec. 18.7
  23. November 14: Deep learning (pdf)
  24. November 16: Hidden Markov Models (pdf), Reading: Ch. 15, 17 Assignment 3 due November 27
  25. November 28: Markov decision processes (pdf), Reading: Ch. 17,
  26. November 30: Reinforcement learning (pdf), Reading: Ch. 21, Homework: Assignment 4 is out
  27. December 5: Lecture cancelled
  28. December 7: Societal impacts of AI (pdf), Assignment 4 due December 11
  29. December 12: Final review
  30. December 16, 7:00-8:15pm, ECEB 1002: Final exam