| Instructor: |
Marina Meila Padelford B-321, Box 354322 543-8484 (in Padelford) mmp@{cs.washington.edu,stat.washington.edu} |
| Office hours: | Instructor: Monday 2:10-3 onZoom, TA: TBA |
| TA: | Alan Boles NetId: aboles |
| Lecture place and time: | Mon, Wed, Fri 9:30-10:20 in MGH 231, Lab place and time Wed 8:30-9:20 in MGH 231
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| Course home page: | http://www.stat.washington.edu/courses/403/sp25.
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| Class mailing list: | multi_stat403a_sp25 |
| Textbooks: |
There is no textbook for this course, but chapters of course notes will be posted on the Lecture notes pages.
Other recommended books in probability and data science are listed on the books web page.
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| Format: | The course will
consist of three weekly 1 hour lectures, 1 hour of weekly lab, and weekly homework
assignments.
Lectures will in person, and not recorded. The instructor and TA reserve the right to assign seating during lectures and quizzes. Slides will be posted on the handouts/Course notes page ahead of the class; during lectures I will use these slides as background, plus a virtual whiteboard, with GoodNotes. After class, the annotated slides will be posted on on the web. |
| Participation: | Attendance is not mandatory. However,
participation in lectures and labs is important and therefore it will be part of your grade. By participation I mean more than just being present; you're expected to actively participate, either by asking
questions (the easiest) or by answering questions from the instructors and their invitations
to comment. Bonus participation points for selected answers on the discussion board may be awarded infrequently.
How much participation is enough? Once a week on average is plenty. |
| Assignments: | Typically
assignments will be posted on the web (usually) on
Wednesdays and will be due by 11:59pm the following Thursday. The homework should be submitted as a single pdf file. We do not grade homework answers that are in the code.
The homeworks will consist of problems and short programming assignments. It is important to turn in your homework timely. First, because homework is a component of learning the new material. New lectures will build on past lectures as well as past homework results. Second, fair grading requires fair conditions for everybody. You are allowed to be late with your homework twice with no penalty. Further late homework will be penalized by up to 50%. No late homeworks are accepted once the solutions are out or the graded homework returned (this happens typically one week after the homework due date).
Programming in R. The labs offer support for R programming, and especially in making plots. Ask questions during the labs or TA office hours.
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| Teamwork: | Students are encouraged to talk to each other, to the TA, to the instructors, 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 their own solutions to the homework, including the code. We may use plagiarism detection software. Discussion board do's and don'ts: It is okay to ask clarifications about a homework question; i.e. "what does the question mean?" on the discussion board. It is not okay to ask "how do I solve this question?". For example, often we see "what number do I plug into formula (5) to solve Problem 1, a?". Both asking and answering such a question is inappropriate collaboration. |
| Regrading: | If you have reason to believe your homework was not graded correctly, please bring it up with the TA no later than a week after the homework grade is posted. |
| Quizzes: | quizzes (if any) will be all in person in MGH 231. No electronics of any kind are allowed; you are required to remove all electronics and deposit them in your bag or on the floor next to your seat. Failure to remove all electronics will be considered cheating and will be treated according to the UW rules. |
| Grading: | The grade in STAT 403 this spring will be approx. 10% participation, approx. 60% homework (plus quiz), approx 30% project. Dropping policy: you are allowed to drop either a quiz or a homework. Practically, we will compute the grade as max { grade after dropping the quiz with lowest percentage, grade after dropping the homework with lowest percentage } (unless you did perfectly, it is always to your advantage to drop one). |
| Prerequisites: | A class in multivariate calculus (partial derivatives, multiple integrals, matrix algebra). A class in probability, including conditional probability and independence. Ability to write simple programs in order to do the homework. Ability to reason mathematically, to read, understand and discover proofs. Here is a list of the calculus topics we typically use. |