Liping Liu
This is a course aiming at graduate students in science, engineering, and statistics. The course covers Gauss elimination, vector spaces, linear transformations, determinants, eigenvalues and eigenvectors, with applications to least squares approximations, discrete Fourier transform, differential equations, Markov chain, and principal component analysis.
Gilbert Strang: Linear Algebra and Applications
The equivalent of 250 or 350