Resources

Date Lectures and Exercises Additional Resources
Week 1
Aug 27, 29
Introduction, AI Ethics

Week 2
Sept 3, 5
Search

Week 3
Sept 10, 12
Constraint Satisfaction Problems and Local Search

Week 4
Sept 17, 19
Adversarial Search, Utilities

Week 5
Sept 24, 26
Markov Decision Processes

Week 6
Oct 1, 3
Midterm I, Reinforcement Learning I

  • The Berkeley course's past exams (with solutions)
Week 7
Oct 8, 10
Reinforcement Learning II, Probability

Week 8
Oct 15, 17
Bayes Nets: Representation, Independence

Week 9
Oct 22, 24
Bayes Nets: Inference, Sampling

Week 10
Oct 29, 31
(Hidden) Markov Models, Particle Filters


Week 11
Nov 5, 7
Midterm II, CoRL week (no class)


  • The Berkeley course's past exams (with solutions)

Week 12
Nov 12, 14
Decision Networks, Naive Bayes


Week 13
Nov 19, 21
Perceptrons, Clustering, Deep Learning


Week 14
Nov 26, 28
Thanksgiving (no class)


Week 15
Dec 3, 5
Guest Lecture, Conclusion