This course includes a review of eigenvalues and eigenvectors and introduces their application to diagonalization. It covers general vector spaces, inner product spaces, orthonormal bases, Gram-Schmidt process, QR-decomposition, least squares, change of basis, orthogonal diagonalization, linear transformations, and quadratic forms. Applications are also introduced.

Credit Restriction: Credit may be obtained for only one of Mathematics 224 or MAT 121

Prerequisites: ((Math 31 or equivalent) or MAT 113 or Mathematics 114) and Mathematics 120 [C- minimum grade required] and Mathematics 200 [C- minimum grade required] and 2nd year standing required
Corequisites: Academic Integrity Training 100
Further information: Course availability and times