Day | Topic | Reading | Slides | Webcast | Out | Due |
W 1/19 | Introduction to AI | Ch. 1 | 2PP 6PP | P0: Python Tutorial | 1/28 | |
M 1/24 | Agents and Search | Ch. 3.1-4 (2e: 3) | 2PP 6PP | wmv zip emb | P1: Search | 2/4 |
W 1/26 | A* Search and Heuristics | Ch. 3.5-6 (2e: 4.1-2) | 2PP 6PP | wmv zip emb | ||
M 1/31 | Constraint Satisfaction Problems | Ch. 6.1 (2e: 5.1) | 2PP 6PP | wmv zip emb | W1: Search and CSPs | 2/14 |
W 2/2 | CSPs II | Ch. 6.2-5 (2e: 5.2-4) | 2PP 6PP | wmv zip emb | ||
M 2/7 | Game Trees: Minimax | Ch. 5.2-5 (2e: 6.2-5) | 2PP 6PP | wmv zip emb | P2: Multi-Agent Pacman | 2/18 |
W 2/9 | Game Trees: Expectimax | Ch. 5.2-5 (2e: 6.2-5) | 2PP 6PP | wmv zip emb | ||
M 2/14 | Markov Decision Processes | Sutton and Barto Ch. 3-4 | 2PP 6PP | wmv zip emb | W2: Minimax, Expectimax, MDP's | 2/28 |
W 2/16 | MDPs II | Ch. 17.1-3 (2e: 17.1-3), Sutton and Barto Ch. 6.1,2,5 | 2PP 6PP | wmv zip emb | ||
M 2/21 | NO CLASS | P3: Reinforcement Learning | 3/7 [Monday!] | |||
W 2/23 | Reinforcement Learning | 2PP 6PP | wmv zip emb | |||
M 2/28 | Reinforcement Learning II | 2PP 6PP | wmv zip emb | W3: Probability | 3/11 | |
W 3/2 | Probability | Ch. 13.1-5 (2e: 13.1-6) | 2PP 6PP | wmv zip emb | ||
M 3/7 | Bayes' Nets: Representation | Ch. 14.1-2,4 (2e: 14.1-2,4) | 2PP 6PP | wmv zip emb | ||
W 3/9 | Bayes' Nets: Independence | Ch. 14.3 (2e: 14.3), Jordan 2.1 | 2PP 6PP | wmv zip emb | ||
M 3/14 | Midterm Review (no new material covered) | 2PP 6PP | wmv zip emb | |||
TUESDAY 3/15 | Midterm Exam: 5pm-8pm | 155 Dwinelle | ||||
W 3/16 | Bayes' Nets: Inference | Ch. 14.4-5 (2e: 14.4-5) | 2PP 6PP | wmv zip emb | ||
M 3/21 |
Spring Break |
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W 3/23 |
Spring Break |
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M 3/28 | Bayes' Nets: Sampling | Ch. 14.4-5 (2e: 14.4-5) | 2PP 6PP | wmv zip emb | W4: Bayes' nets, HMMs, ML | 4/11 |
W 3/30 | HMMs: Filtering | Ch. 15.2,5 (2e: 15.2,5) | 2PP 6PP | wmv zip emb | Contest: Pacman Capture The Flag | 4/27 [Wednesday!] |
M 4/4 | HMMs: Particle Filtering, DBNs | Ch. 15.2,6 (2e: 15.2,6) | 2PP 6PP | wmv zip emb | P4: Ghostbusters | 4/15 |
W 4/6 | DBNs, HMM Applications, ML | 2PP 6PP 2++ 6++ | wmv zip emb | |||
M 4/11 | ML: Naive Bayes | 2PP 6PP 2++ 6++ | wmv zip emb | P5: Classification | 5/6 | |
W 4/13 | ML: Perceptron and Optimization | 2PP 6PP 2++ 6++ | wmv zip emb | |||
M 4/18 | kNN, kernels | 2PP 6PP 2++ 6++ | wmv zip emb | |||
W 4/20 | Computer Vision | 2PP 6PP 2++ 6++ | wmv zip emb | |||
M 4/25 | Robotics, Language | 2PP 6PP [no ++ slides] | wmv zip emb | |||
W 4/27 | Speech, Language, Final Contest and Conclusion | 2PP 6PP [no ++ slides] | wmv zip emb | |||
M 5/2 | Final Review Session 1 | 10 Evans | 2PP 6PP 2++ 6++ | wmv zip emb | ||
W 5/4 | Final Review Session 2 | 10 Evans | handwritten scribbles | wmv zip emb | ||
F 5/13 | Final Exam (11:30-2:30pm, 1 Pimentel ) |