This course emphasizes vector spaces and linear transformations. Topics include linear independence, bases, nullity and rank of a linear transformation, The Dimension Theorem, the representation of linear transformations as matrices, eigenvalues and eigenvectors, and determinants. Additional topics may include inner product spaces and Gram-Schmidt orthogonalization.
Prerequisite(s):MATH 032. Course Credit: 1.0 Offered: Every semester
Please refer to the course schedule on the Scripps Portal for current course offerings and details.