Textbook | Course Description | Things to Know | Useful Resources | Math Website
Dr. Hugo J. Woerdeman
hugo@math.drexel.edu
Korman 206
Office Hours: TBA
Meeting Time/Place: TR 2:00 PM - 3:20 PM; Korman 247

   textbook
Introduction to Applied Mathematics
by Gilbert Strang
ISBN: 0-961-4088-04

   course description
Linear Algebra is used in numerous applications. These include systems and control theory, filtering, signal and image processing, data mining, etc. In this student seminar both the instructor and the students will prepare lectures on applications of their choice, typically using the textbook but other material may be used as well.
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   things to know

The course assumes a basic knowledge of linear algebra, including: matrix algebraic operations, solving linear equations, LU factorization, vector spaces, row/column space, null space, orthogonality, determinants and eigenvalues and eigenvectors.

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   useful resources
The Theory of Matrices - by Peter Lancaster, Miron Tismenetsky
Applied Linear Algebra - by B. Noble, J. Daniel
Linear Algebra - by Kenneth Hoffman, Raymond Kunze
Linear Algebra Done Right - by Sheldon Axler
Linear Algebra - by Stephen Friedberg
Matrix Computations - by Gene Golub, Charle Van Loan
Numerical Linear Algebra - by L. Trefethen, D. Bau
Linear Algebra - by Peter Lax
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