Announcements
"Course" overview
The goal of the course is to give you experience with independent
research, and to help you prepare for the Research Prelim (updated details, such a number of pages, will appear in this description)
The class time will be spent in a variety of ways:
- lectures on research strategy/writing/critical reading/etc
- presentations by you
- one-on-one meetings, working in small groups
- "standard" lectures (no more than 1h, no more than a few) on
topics of common interest
Most course materials are on the Canvas course site.
Here are hosted course materials written by me, under Handouts, links to other materials (e.g. tutorials) under Resources.
Who is this class for?
This is a project class, intended
for PhD students in the Statistics Department who are preparing for
their Preliminary Examination in Statistical Learning and Stochastic Modeling.
The grade in this class is based on effort on project and project
presentation (85%) and participation and timeliness in
attaining intermediate project goals (15%). While success in this
class is a good predictor of success in the Research Prelim, it does
not guarantee a PASS in the Research Prelim.
Prerequisites
- Ability with a computer programming language (like C, C++, Java or Matlab, Splus, R) at the level of STAT 534
- Recommended: one of the sequences
Instructor: Marina Meila and Werner Stuetzle
Class meets: Mondays/Wednesdays 4:30 - 6:20 in C-301
Office hours: by appointment
Course home page:
http://www.stat.washington.edu/courses/572/spring20 (this page)
Contact the instructor at:
mmp@stat.washington.edu
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