The course will focus on matrix and vector methods for studying systems of linear equations, with an emphasis on concrete calculations and applications. Specific topics to be covered include matrices, Gaussian elimination, vector spaces, LU decomposition, orthogonality, the Gram?Schmidt process, determinants, inner products, eigenvalue problems, and applications to differential equations and Markov processes.