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Instructor:
Ali Farhadi
(aliat cs dot washington dot edu) Office hours: TBA 
TA:
DunYu Hsiao
(dyhsiao at cs dot washington dot edu) Office hours: TBA 
Week  Dates  Topics & Lecture Notes  Readings 

1  April 3  Introduction; Blind Search  R&N, Ch. 1,2 (optional); R&N Ch.3.13.4 
2  April 10  Heuristic Search; Adversarial Search I  R&N, Ch.3.53.7; 5.15.4 
3  April 17  Adversarial Search II; Expectimax; MDP  R&N, Ch.5.55.7;17.117.3 
4  April 24  MDP (cont.); Reinforcement Learning  R&N, Ch.21.1 21.5 
5  May 1  Reinforcement Learning (cont.); Uncertainty  R&N, Ch.13 
6  May 8  Uncertainty (cont.); Markov Models  R&N, Ch.15.1 
7  May 15  Hidden Markov Models; Inference in HMM; Particle Filtering  R&N, Ch.15.115.3 
8  May 22  Bayesian Networks; Independence in Bayesian Networks; Inference in Bayesian Netwroks  R&N, Ch.14.114.5 
9  May 29  Samplling in Bayesian Networks Naive Bayes; Perceptron  R&N, 
Final exam is out! Please check your email or dropbox. You have to submit your answer before Sunday 6/8 11:59pm


Department of Computer Science & Engineering University of Washington Box 352350 Seattle, WA 981952350 (206) 5431695 voice, (206) 5432969 FAX 