
Lectures: 
Duncan Hall 1070,
Monday, Wednesday, Friday, 2.002.50pm 

Instructor: 
Mark Embree (embree@rice.edu)
Abercrombie 101/Duncan Hall 3019, (713) 3486160 

Office Hours: 
Wednesday 11am12pm, Thursday 1pm2:30pm (both in Abercrombie 101), or by appointment


Prerequisite: 
Undergraduate matrix theory (e.g., CAAM 335, MATH 354, or MATH 355)


Course Outline: 
outline.pdf


Grading: 
50% standard problem sets, 50% pledged problem sets 

Participation: 
Students are expected to enrich the classroom environment by asking questions
and participating in discussions. Such engagement will be considered
when assigning borderline grades, as will improving performance
throughout the course of the semester. 

Standard problem sets: 
A problem set will be assigned most weeks, due by
5pm on the specified date. These exercises will require proofs of
general results and analysis of illustrative examples.
Mathematically rigorous solutions are expected; strive for
clarity and elegance. Some problems will require a modest amount of
MATLAB programming. 

You are encouraged to collaborate on these exercises, but your final writeup
must be your own independent work. Transcribed solutions and copied code
are unacceptable. You may not consult solutions from past offerings of this course. 

Late policy: You may submit two standard problem sets one class period late
with no penalty. Subsequent late assignments will be penalized 25%.
No work will be accepted more than one class period late without
prior arrangement or a written excuse. 

Pledged problem sets: 
Three assignments will be designated as pledged problem sets.
These must be completed with only the aid of class notes and limited other specfied resources.
You may not use outside sources: other students, other books, the web, etc. 
 Pledged assignments may not be turned in late without prior arrangement
or written excuse. 

Recommended Texts: 
Meyer, Matrix Analysis and Applied Linear Algebra, SIAM, 2000.
Horn and Johnson,
Matrix Analysis,
Cambridge, 1985 (advanced).
Horn and Johnson,
Topics in Matrix Analysis,
Cambridge, 1991 (advanced).
These texts are available at the reseve desk at the Fondren Library.
They are useful references that justify the investment. However, we will
not follow either book slavishly; students can purchase these as their
resources and interests permit.


Syllabus: 
pdf 







