Professor:	A. Greenbaum, C-434 Padelford, 543-1175
Office Hours:	M,W 1:30-3:00
e-mail:	greenbau@math.washington.edu
Web Address:	http://www.math.washington.edu/~greenbau
	Course materials: Click on ``Math 308".

Text: Introduction to Linear Algebra by Johnson, Riess, and Arnold.

Some other good references (available in the Undergraduate Library) are: Introduction to Linear Algebra and Linear Algebra and its Applications by Gilbert Strang; Applications of Linear Algebra by Rorres and Anton.

Course Description: This course will cover:

1. Matrices and systems of linear equations: Gaussian elimination, matrix operations, linear independence and nonsingular matrices, matrix inversion, data fitting and least squares problems.

2. Vector spaces in Rⁿ: Definition of a vector space, subspaces, dimension, bases, orthogonality.

3. Linear transformations from Rⁿ to R^m: Matrix representations for linear transformations, change of basis, diagonalization.

4. Eigenvalues and eigenvectors: Determinants, characteristic polynomial, numerical methods for approximating eigenvalues.

There will be weekly homework assignments (with some MATLAB programming), two midterms, and a final. You will need an MSCC (or other) computer account. You can find information about the Mathematical Sciences Computing Center by typing: http://www.ms.washington.edu.

Grading: The final exam will count 30%, the two midterms will count 20% each, and the homework will count 30%.