TA:James Buenfil
Brief description
This is a course in statistics that uses probability and calculus with applications to machine learning, engineering, sciences, computer science.
See more here, in the syllabus and the math bare essentials
Prerequisites
- CSE 312 OR STAT 394/5 OR STAT 421 OR equivalent. Stat/Math 395 can be taken concurrently.
- Notions of algorithms and complexity at the level of CSE 373.
- Ability to program at the level of CSE 142/3
- Calculus (see the math bare essentials above)
Lectures:
Tuesdays, Thursdays 12:30-2:20 in
ARC 160
Instructor's office hour:Mondays 2:10-3:00 PDL B-321
TA's office hour:Wednesdays 2-3pm PDL B-301
Class mailing list: multi_stat391a_wi25
Course home page: http://www.stat.washington.edu/mmp/courses/391/winter25
(this page)