Lecture place and time: Tuesdays & Thursdays 11:30 - 12:50 in LOW 101
Course web site: http://www.stat.washington.edu/courses/stat538/winter12 Use it!
|Office hours:||Monday 2-3pm in PDL B-321 (TO BE CONFIRMED if there are no major conflicts)|
|Class mailing list:||firstname.lastname@example.org |
|Textbooks:|| Boyd & Van der Berghe -- required,
Hastie ,Tibshirani & Friedman "Elements of Statistical Learning" -- recommended, Bertsekas and Numerical Recipes suggested. See the Resources page for links to on-line versions of these books.
Occasionally I will hand out other reading materials in class or post them on the web.
|Format:||The course will consist of two weekly lectures, a series of homework assignments and a final exam. Active class participation by questions, answers and comments is important and therefore it will be part of your grade.|
|Assignments:|| Typically assignments
will be posted on the web on Tuesdays and will be due the next Tuesday
at the beginnining of class. The assignments will consist of
(1) short programming assignments (typically, to implement a version
or a special case of an algorithm presented in class) to be done in
the programming language of your choice and (2) problems or other
questions. The programming assignments will be split into two separate parts:
|Teamwork:||Each class participant submits her/his homework individually. Unless explicitly allowed to do so, you are required to write your own code. However, discussing homework, on the class mailing list or elsewhere, is encouraged.|
|Grading:||(Approximately!) 10% class participation 65% assignments and 25% final exam.|