Statistics for Data Science
STAT 391 Spring Quarter 2022

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  • If you would like an add code: Due to health concerns, I am not planning to overload this class; however, 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).
  • Please respect the on-line learning environment and the privacy of your class-mates by keeping the meeting URL and access information confidential. This is a University rule: Facilitating or perpetrating “zoom bombing” will result in immediate referral to the UW Community Standards & Student Conduct team, with possible consequences being failure and expulsion.

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

TA: Brian Burns

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 LOW 205
Instructor's office hour:Mondays 2:10-3:00 on-line
TA's office hour:TBA on-line

Class mailing list: stat391a_sp22

Course home page: http://www.stat.washington.edu/mmp/courses/391/spring22 (this page)