announcement

• to join course Piazza, follow this link (all discussions is supposed to happen on Piazza)

• for Gradescope you need to join the class using this code: 9ZGB48 (homework submission is through gradescope)

• Course staff can be reached at cse515-staff@cs.washington.edu

• Welcome to CSE515.

calendar

prerequisite

• CSE312 (Foundations of Computing II); and

• Either CSE341 (Programming Languages), or STAT391 (Statistics of Data Science).

Instruction Times

• Lecture: WF 11:30-12:50, LOW 105

instructors

instructor: Sewoong Oh CSE2 207 sewoong@cs.washington.edu Office Hour: Thu 12:00-1:00, CSE2 207

TA: Alon Milchgrub alonmil@cs.washington.edu Office Hour: Wed 10:30-11:30, CSE 678 (or Allen 678)

grading

• 4 assignments (80%)

• 24-hour takehome final (20%)

textbooks

There is no existing text that perfectly matches the content of CSE515. However, the following references contain useful additional details and insights.

• D. Koller & N. Friedman, Probabilistic Graphical Models: Principles and Techniques, MIT Press, 2009

• Steffen L. Lauritzen, Graphical Models, Oxford University Press, 1996

• Marc Mézard and Andrea Montanari, Information, Physics, and Computation, Oxford University Press, 2009

• M. Wainwright and M. Jordan, Graphical models, exponential families, and variational inference, Foundations and Trends in Machine Learning, 2008