Instructor:  Davar Khoshnevisan (Contact Information  Office Hours) 

Time/Place:  MWF 12:5513:45, JWB 333. 
Text:  Linear Regression Analysis, G.A.F. Seber and J. Lee, Wiley, New York, Second edition, 2003. 
Course Description:  This is the first term in a yearlong 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. 50805090).
Topics include:

Important Dates: 

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. 
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.
