Assignments
Date | Topic |
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Week 1 Aug 27, 29 |
Introduction, AI Ethics and SocietyReading: due Monday 8/26, 5:00 pm
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Week 2 Sept 3, 5 |
SearchReading: due Monday 9/2, 5:00 pm
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Week 3 Sept 10, 12 |
Constraint Satisfaction Problems and Local SearchReading: due Monday 9/9, 5:00 pm
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Week 4 Sept 17, 19 |
Adversarial Search, UtilitiesReading: due Monday 9/16, 5:00 pm
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Week 5 Sept 24, 26 |
Markov Decision ProcessesReading: due Monday 9/23, 5:00 pm
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Week 6 Oct 1, 3 |
Midterm I, Reinforcement Learning IMidterm I exam:
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Week 7 Oct 8, 10 |
Reinforcement Learning II, ProbabilityReading: due Monday 10/7, 5:00 pm
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Week 8 Oct 15, 17 |
Bayes Nets: Representation, IndependenceReading: due Monday 10/14, 5:00 pm
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Week 9 Oct 22, 24 |
Bayes Nets: Inference, SamplingReading: No reading due this week. Programming: due Wednesday 11/13, 11:59 pm
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Week 10 Oct 29, 31 |
Hidden Markov Models, Particle FiltersReading: due Monday 10/28, 5:00 pm
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Week 11 Nov 5, 7 |
Midterm II, CoRL week (no class)Midterm II exam:
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Week 12 Nov 12, 14 |
Decision Networks, Naive BayesReading: due Monday 11/11, 5:00 pm
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Week 13 Nov 19, 21 |
Perceptrons, Clustering, Deep LearningReading: due Monday 11/18, 5:00 pm
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Week 14 Nov 26, 28 |
Thanksgiving (no class) |
Week 15 Dec 3, 5 |
Guest Lecture, ConclusionGuest speaker: [TBD] Reading: due Monday 12/2, 5:00 pm
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Final Exam Date/Time: [TBD] |
Final ExamLocation: [TBD] |