| Instructor: |
Marina Meila Padelford B-321 543-8484 mmp@stat.washington.edu |
| Office hours: | Mondays 2 pm (tentative) |
| Lecture place and time: | Tue, Thu 11:30 - 12:50 in PCAR 395
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| Course home page: | https://www.stat.washington.edu/mmp/courses/stat534/spring19/.
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| Class mailing list: | multi_stat534b_sp19@uw.edu It will be used to make last minute announcements, send hints for the hardest parts of the homework, etc, complementing the Canvas discussion board.
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| Textbooks: |
Optional, but highly recommended: (CRLS) Cormen, Leiserson, Rivest and Stein, "Introduction to algorithms" (see the Books page) For python manuals, see the Resources page I will also post course notes that will follow closely the material presented in class. |
| Format: | The course will consist of two weekly 1.5 hour lectures and weekly homework assignments. Class participation is important and therefore it will be part of your grade. By class participation I mean more than just being in class; you're expected to actively participate, either by asking questions (the easiest) or by answering my questions or my invitations to comments. |
| Assignments: | Typically
assignments will be posted on the web on Thursdays and will be due at the beginning of class the following Thursday. The homeworks will consist of problems
and programming assignments. No late homeworks are accepted except
with prior approval (e.g if you travel to a conference). Reading from CRLS for algorithms (this to be seen) and from the python resources are also mandatory parts of the assignments. |
| Teamwork: | Students are encouraged to talk to each other, to the instructor, or to anyone else about any of the assignments. Any assistance, though, must be limited to discussion of the problem and sketching general approaches to a solution. Each student must write out his or her own solutions to the homework, including the code. In later parts of the course, we will grade code by running it automatically. You must closely follow the guidelines for file submission in order to allow us to properly grade your code. |
| Grading: | (tentative) Homeworks 65%, Participation:10%, Project 25%. If quizzes are given, they will be graded as part of the homework. |