Linear Algebra.

Catalog description

This course emphasizes the techniques of linear algebra and their applications. Topics for this course include matrix operations, determinants, linear equations, vector spaces, linear transformations, eigenvalues and eigenvectors, inner products and norms, orthogonality, and least squares. MATLAB/GNU Octave will be used to explore computational algorithms and numerical applications. Math prerequisite must be taken within last 10 years or permission of dean. Fall. Prerequisite: MAT 211 with a grade of "C" or higher; MAT 212 corequisite.