Steam-powered Turing Machine University of Washington Computer Science & Engineering
 CSE 515 - Statistical Methods in Computer Science - Winter 2018
  CSE Home   About Us    Search    Contact Info 

Instructor: Pedro Domingos
Office: Allen 648
Office hours: Tuesdays 11:00am-11:50am and by appointment
TA: Yao Lu
Office: Allen 220
Office hours: Thursdays 11:00am-11:50am and by appointment

Class meets:
Tuesdays and Thursdays from 9:30 to 10:50 in EEB 037

Schedule

Week Dates Topics & Lecture Notes Readings
1 January 4 Introduction, basics of probability and statistical estimation Ch. 1, 2 & 17
2 January 9 & 11 Mixture models and the EM algorithm (EM notes) Ch. 19
3 January 16 & 18 Hidden Markov models and Kalman filters Ch. 6 (Sec. 6.1 & 6.2) & Ch. 15 (Sec. 15.4.1)
4 January 23 & 25 Bayesian networks and Markov networks Ch. 3 & 4
5 January 30 & February 1 Variable elimination, junction trees and belief propagation Ch. 9 - 11
6 February 6 & 8 Sampling-based inference Ch. 12
7 February 13 & 15 Learning Bayesian networks Ch. 16 - 18
8 February 20 & 22 Learning Markov networks Ch. 20
9 February 27 & March 1 Dynamic Bayesian networks, particle filtering and relational models Ch. 15 (Sec. 15.1 - 15.3) & Ch. 6 (Sec. 6.3 & 6.4)
10 March 6 & 8 Decision theory and Markov decision processes Ch. 22 & 23

Textbook

D. Koller & N. Friedman, Probabilistic Graphical Models: Principles and Techniques, MIT Press (required).

Assignments

There will be four homework assignments, each worth 25% of the final grade. The homeworks include programming. Homework assignments will be handed out after weeks 2, 4, 6, 8, and will be due two weeks later.

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

Canvas

We will use UW Canvas to collect homework, keep the gradebook and make announcements.

Course Administration and Policies


CSE logo Computer Science & Engineering
University of Washington
Box 352350
Seattle, WA  98195-2350
(206) 543-1695 voice, (206) 543-2969 FAX