Vector spaces and subspaces. Linear independence. Matrix representation of linear transformations. Eigenvalues and eigenvectors. Quadratic forms. Inner products. Gram-Schmidt orthogonalization. Students will complete a project using a computer algebra system. This course may not be repeated for credit.