Lectures

This lecture schedule is subject to change. In particular, the midterm date will not be finalized until a week or so into the course.
You may want to look at last term's slides, but there will be changes.
Note: Unreleased project out and due dates are just guesses and might change slightly.
Lecture videos available here.

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

W 3/23

Spring Break

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 )