CSEP 573 - Applications of Artificial Intelligence - Winter 2016 Thurs 6:30-9:20 in JHN 111 |
CSE Home |
Instructor:
Luke Zettlemoyer
(lsz at cs) Office hours: After class |
TA: Fereshteh Sadeghi
(fsadeghi at cs) Office hours: Thurs 5:30-6:30 in CSE614 |
Week | Dates | Topics & Lecture Notes | Readings |
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1 | Jan 7 | Introduction; Search | R&N, Ch. 1,2 (optional); R&N Ch.3.1-3.4 |
2 | Jan 14 | Heuristic Search; Adversarial Search | R&N, Ch.3.5-3.7; 5.1-5.4 |
3 | Jan 21 | Expectimax; Markov Decision Processes (MDPs) | R&N, Ch.5.5-5.7;17.1-17.3 |
4 | Jan 28 | MDPs (cont); Reinforcement Learning (RL) | R&N, Ch.21.1- 21.5 |
5 | Feb 4 | RL (cont); Uncertainty | R&N, Ch.13 |
6 | Feb 11 | Hidden Markov Models (HMMs) | R&N, Ch.15.1 |
7 | Feb 18 | HMM (cont.); Bayesian Networks (BNs); | R&N, Ch.15.1-15.3 |
8 | Feb 25 | BN (cont.); Inference in Bayesian Networks | R&N, Ch.14.1-14.5 |
9 | Mar 3 | Machine Learning | |
10 | Mar 10 | Neural Networks, Vision Overview, Summary |
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Department of Computer Science & Engineering University of Washington Box 352350 Seattle, WA 98195-2350 (206) 543-1695 voice, (206) 543-2969 FAX |