21-241: Matrix Algebra


Linear algebra covers material which is essential to anyone who does any mathematical computation in engineering and the sciences. In application and in class, the subject divides naturally into two parts: computation and formal structure. These are intimately related, but operationally distinct: on the one hand, computations with matrices and linear equations can be made into efficient algorithms, in mental code or in computer code, and, once created, these can be carried out with little attention to the theory. On the other band, in order to understand, to choose and then correctly optimize the applications of linear algebra, it is necessary to see the underlying formal algebraic structure. What does this mean for this course? Your challenge will be to master the algorithmic aspects of the subject, witbout thinking tbat this is all that there is to the suubject, and to deal with the underlying formal structure by using the concrete model of matrices and vectors as a guide and as a tool.


The text for this course is Linear Algebra with Applications by Otto Bretscher.


Dr. Wen-Ching Lien (12:30MWF, MM 103)
Office:WEH 6214
Telephone: 268-5583
Office Hours: 3:30-5:30 W

Dr. David Handron(10:30MWF,WEH 5403)(11:30MWF,WEH 5403)

Office: WEH 6102
e-mail: handron@andrew.cmu.edu
Telephone: 268-3546
Office Hours: 2:00-3:30 MW

TA: Danyale Monteleone

Office: WEH 6215
e-mail: danyale@andrew.cmu.edu

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