Advanced Linear Algebra

Catalog description

This is a second course in linear algebra that provides an in-depth study of fundamental concepts of the subject. Topics include general vector spaces, eigenvalues and eigenvectors, inner products and orthogonality, the Gram-Schmidt process, QR factorization, singular value decomposition, the Spectral Theorem, and least squares and the generalized inverse. Prerequisites: grade of "C" or better in MATH 250 and MATH 310.