| Instructor: |
Davar Khoshnevisan (Contact Information |
Office Hours) |
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| Time/Place: | MWF 12:55-13:45, JWB 333. |
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| Text: | Linear Regression Analysis,
G.A.F. Seber and J. Lee, Wiley, New York, Second edition, 2003. |
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| Course Description: |
This is the first term in a year-long sequence on linear models.
This course assumes a solid knowledge of Calculus (I, II, III),
linear algebra (Math. 2270), probability theory (Math. 5010),
and mathematical statistics (Math. 5080-5090).
Topics include:
- Linear algebra primer;
- general linear models;
- regression;
- analysis of variance.
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| Important Dates: |
- Last day to drop: Sept 2
- Labor Day Holiday: Sept 5
- Fall Break: Oct 9-16
- Last day to withdraw: Oct 21
- Thanksgiving Break: Nov 24-25
- Classes end: Dec 8
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| Grading: |
Weekly assignments; three midterms, and several
projects. The weekly assignments mostly involve theoretical problems.
Solutions are posted after the due dates. The projects are applied problems.
The midterms will be on Sept 26th (midterm 1), Oct 31rd (midterm 2),
and Nov 28th (midterm 3).
There are no makeup tests, so you need to ensure that you are on campus at
those time in order to take them.
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| Lecture notes: |
These are my lectures notes, written to myself. Feel free to use them if you
wish, but they are likely to be rough around the edges. So read carefully.
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