Steam-powered Turing Machine University of Washington Computer Science & Engineering
 CSE 515 - Statistical Methods in Computer Science - Spring 2009
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Instructor: Pedro Domingos
Office: Allen 648
Office hours: Wednesdays 3:30-4:30 and by appointment
TA: Daniel Lowd
Office: Allen 216
Office hours: Mondays 2:30-3:30 and by appointment

Class meets:
Mondays and Wednesdays from 12:00 to 1:20 in JHN 175

Final exam:
8:30-10:20 a.m. Thursday, Jun. 11, 2009 in JHN 175

Schedule

Week Dates Topics & Lecture Notes Readings
1 March 30, April 1 Introduction, basics of probability and statistical estimation Ch. 1, 2 & 18
2 April 6 & 8 Mixture models and the EM algorithm (EM notes) Ch. 20
3 April 13 & 15 Hidden Markov models and Kalman filters Ch. 15
4 April 20 & 22 Bayesian networks and Markov networks Ch. 3 - 5
5 April 27 & 29 Variable elimination, junction trees and belief propagation Ch. 9 - 12
6 May 4 & 6 Sampling-based inference Ch. 13
7 May 11 & 13 Learning Bayesian networks Ch. 17 - 20
8 May 18 & 20 Learning Markov networks Ch. 21
9 May 25 & 27 Dynamic Bayesian networks, particle filtering and relational models Ch. 15 & 6
10 June 1 & 3 Decision theory and Markov decision processes (updated) Ch. 23 & 24

Textbook

D. Koller & N. Friedman, Structured Probabilistic Models: Principles and Techniques, MIT Press (required).
This book has not been published yet; a reader will be available at the University Bookstore.

Assignments

There will be four homework assignments, each worth 15% of the final grade, and a final exam, worth 40%. The homeworks include programming. Homework assignments will be handed out on weeks 1, 3, 5 and 7, and will be due two weeks later.

(Assignments will be posted here once they are ready.)

Course Administration and Policies


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University of Washington
Box 352350
Seattle, WA  98195-2350
(206) 543-1695 voice, (206) 543-2969 FAX
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