The terms matrix algebra and linear algebra really refer to the same subject; however, matrix algebra
is meant to suggest a more concrete point of view for an introduction
to the subject: matrices are a useful computational tool in linear
algebra. You can get a more theoretical and extensive treatment in Math
429 (Linear Algebra).
This course contains a
fair amount of computation in it to help understand the ideas. For
learning purposes, these computations are much more "smallscale" than
usually appear in real world applications where a lot of computing power
may be needed (even though the underlying mathematical ideas are the
same).
However, this course also involves more than cookbook calculations: it
really does involve understanding some new and more abstract ideas. It
will be important to actually learn some definitions and statements of
theorems. This may take some adjustment of your study habits. You
should read the guidelines the textbook author provides for How to Study Linear Algebra.
Almost all of the important information for this course can be accessed in two ways: either through Blackboard or on this web page.
It's entirely up to you which way you do it. The only exception is
that scores on written homework and exams will be recorded in Blackboard and viewed there.

Anonymous
Feedback to Professor Freiwald. Of course, I'd really
prefer open
feedback and
discussion about the course at any time. However,
this link is provided as a way for students to offer suggestions and
comments anonymously. I'll keep this link here as long as it's
constructively
used. (I can't
respond, of course, to your
anonymous email.)
Academic
Integrity This
link gives the general policies of the
University on academic integrity. Of course no communication or
collabotation in any form is allowed during an exam. Please also
see the
comments about homework collaboration (above).
