Row reduction, solving linear systems; vector spaces, subspaces, bases; linear transformations, images, and kernels; eigenvalues, eigenvectors, and diagonalization of matrices; applications to differential equations, computer graphics, and numerical calculation.Prerequisite: 21:640:136 or 156, or permission of instructor. Credit not given for both 21:640:219 and 350.