CS 188: Artificial Intelligence, Spring 2006

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Lectures

This lecture schedule is tentative, and subject to change.

Day Topic Reading Slides Out Due
Tu 1/17 Introduction to AI Ch. 1 6PP    
Th 1/19 Intelligent Agents, Rationality Ch. 2 6PP P1  
Tu 1/24 Problem Solving; Uninformed Search Ch. 3 6PP W1  
Th 1/26 A* Search and Heuristic Functions Ch. 4.1-4 6PP 2PP    
Tu 1/31 Robot Motion Planning Ch. 25.1-2,4 6PP 2PP    
Th 2/2 Constraint Satisfaction I Ch. 5.1-5.2 6PP 2PP W2 W1
Tu 2/7 Constraint Satisfaction II Ch. 5.3-5.4 6PP 2PP    
Th 2/9 Probability Ch. 13 6PP 2PP   P1
Tu 2/14 Classification, Naive Bayes Models Ch. 20.1-2 6PP 2PP P2 W2
Th 2/16 Estimation and Perceptron Ch. 20.3-4 6PP 2PP W3  
Tu 2/21 Decision Trees Ch. 18.1-3 6PP 2PP    
Th 2/23 PAC Learning, Generalization Ch. 18.4-6 6PP 2PP    
Tu 2/28 Clustering and Similarity M+S Ch. 14 (on campus link) 6PP 2PP    
Th 3/2 Kernel Methods Ch. 20.6-7 6PP 2PP   W3 (P2 on 3/3)
Tu 3/7 Midterm Exam        
Th 3/9 Bayes Nets: Representation Ch. 14.1-2 6PP 2PP    
Tu 3/14 Bayes Nets: Independence Ch. 14.3, Jordan Ch. 2.1 (restricted) 6PP 2PP W4  
Th 3/16 Bayes Nets: Inference Ch. 14.4-5 6PP 2PP    
Tu 3/21 HMMs Ch. 15.1-3 6PP 2PP
Th 3/23 Speech Recognition Ch. 15.6 6PP 2PP P3 W4
Tu 4/4 Utility Theory Ch. 16.1-3,5-6 6PP 2PP    
Th 4/6 MDPs Ch. 17.1-4, Sutton and Barto 4.1-4.4 6PP 2PP    
Tu 4/11 Reinforcement Learning I Ch. 21.1-2, Sutton and Barto 5.0, 6.1, 6.5 6PP 2PP
Th 4/13 Reinforcement Learning II Ch. 21.3-5, Sutton and Barto 8.1-3 6PP 2PP    
Tu 4/18 Games: Search for Games Ch. 6 6PP 2PP P4 P3
Th 4/20 Games: Pruning and Value Estimation Ch. 6 6PP 2PP    
Tu 4/25 Games: Game Theory Ch. 17.6-7 6PP 2PP
Th 4/27 NLP: Language Understanding Ch. 23.1-3 6PP 2PP    
Tu 5/2 NLP: Machine Translation Ch. 23.4-5 6PP 2PP P4
Th 5/4 Vision: Object/Face Recognition Ch. 24    
Tu 5/9 Philosophical Issues Ch. 26    
Th 5/18 Final Exam