Statistics for Data Science
STAT 391 Spring Quarter 2023

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UW Statistics

UW ACMS Program

UW CSE

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  • If you would like an add code:A small number of add codes will be given out to qualified students. To request an add code, write to the instructor; please include information on how you satisfy the prerequisite (e.g. number of course in math/stat/algorithms). Or show up at the 1st lecture. Add codes will be given at the end of this lecture.
  • The lectures will not be recorded. Quizzes and exams (if any) will be in person.
  • Final exam information HERE.
  • Congrats, you did it!. (Edits possible)

Instructor: Marina Meila mmp@cs.washington.edu Office: Padelford B-321, Box 354322

TA: Shreya Prakash

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.
  • 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 EE 125 (auditorium)
Instructor's office hour:Mondays 2:10-3:00 on-line
TA's office hour:Tuesdays 3-4 PDL B-301

Class mailing list: stat391a_sp23

Course home page: http://www.stat.washington.edu/mmp/courses/391/spring23 (this page)