CS 188: Artificial Intelligence, Fall 2007

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Lectures

This lecture schedule is tentative, and subject to change.

If you would like to see last term's slides (there will be changes), you can take a look here.

Day Topic Reading Slides Out Due
Tu 8/28 Introduction to AI Ch. 1, 2 (both general) 2PP 6PP Python Tutorial 9/4
Th 8/30 Agents and Search Ch. 3 2PP 6PP Pacman: Search 9/12
Tu 9/4 A* Search and Heuristics Ch. 4.1-2 2PP 6PP    
Th 9/6 Constraint Satisfaction Problems Ch. 5.1 2PP 6PP    
Tu 9/11 CSPs II Ch. 5.2-4 2PP 6PP    
Th 9/13 Robot Motion Ch. 25.4 2PP 6PP Pacman: Adversarial 10/1
Tu 9/18 Game Trees: Minimax Ch. 6.2-5 2PP 6PP    
Th 9/20 Game Trees: Expectimax Ch. 6.2-5 2PP 6PP    
Tu 9/25 Utilities / MEU Ch. 16.1-3 2PP 6PP    
Th 9/27 Markov Decision Processes Sutton and Barto Ch. 3-4 2PP 6PP MDPs & RL 10/11
Tu 10/2 MDPs II Ch. 17.1-3, Sutton and Barto Ch. 6.1,2,5 2PP 6PP    
Th 10/4 Reinforcement Learning   2PP 6PP    
Tu 10/9 Reinforcement Learning II   2PP 6PP    
Th 10/11 Probability Ch. 13.1-6 2PP 6PP    
Tu 10/16 MIDTERM EXAM (in class)        
Th 10/18 Bayes' Nets I Ch. 14.1-2,4 2PP 6PP  
Tu 10/23 Bayes' Nets II Ch. 14.3, Jordan 2.1 2PP 6PP    
Th 10/25 Bayes' Nets III Ch. 14.4-5 2PP 6PP  
Tu 10/30 Bayes' Nets IV Ch. 14.4-5 2PP 6PP Static Battleship 11/12
Th 11/1 Decision Diagrams Ch. 15.1-3,6 2PP 6PP
Tu 11/6 HMMs: Monitoring Ch. 15.2,5 2PP 6PP Dynamic Battleship 11/19
Th 11/8 HMMs: Particle Fitlering Ch. 15.2,6 2PP 6PP  
Tu 11/13 Speech, Viterbi, POMDPs Ch. 15.2,6 2PP 6PP    
Th 11/15 ML: Naive Bayes   2PP 6PP    
Tu 11/20 ML: Perceptrons   2PP 6PP    
Th 11/22 No Class
Tu 11/27 ML: Kernels   2PP 6PP Classification 12/6
Th 11/29 ML: Clustering   2PP 6PP    
Tu 12/4 Language and Vision        
Th 12/6 Advanced Topics and Pacman Contest        
W 12/19 FINAL EXAM