Resources
Date | Lectures and Exercises | Additional Resources | |
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Week 1 Aug 27, 29 |
Introduction, AI Ethics |
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Week 2 Sept 3, 5 |
Search |
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Week 3 Sept 10, 12 |
Constraint Satisfaction Problems and Local Search |
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Week 4 Sept 17, 19 |
Adversarial Search, Utilities |
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Week 5 Sept 24, 26 |
Markov Decision Processes |
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Week 6 Oct 1, 3 |
Midterm I, Reinforcement Learning I |
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Week 7 Oct 8, 10 |
Reinforcement Learning II, Probability |
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Week 8 Oct 15, 17 |
Bayes Nets: Representation, Independence |
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Week 9 Oct 22, 24 |
Bayes Nets: Inference, Sampling |
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Week 10 Oct 29, 31 |
(Hidden) Markov Models, Particle Filters |
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Week 11 Nov 5, 7 |
Midterm II, CoRL week (no class) |
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Week 12 Nov 12, 14 |
Decision Networks, Naive Bayes |
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Week 13 Nov 19, 21 |
Perceptrons, Clustering, Deep Learning |
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Week 14 Nov 26, 28 |
Thanksgiving (no class) |
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Week 15 Dec 3, 5 |
Guest Lecture, Conclusion |
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