Prerequisites: Programming skills (MATLAB preferred) and linear algebra. Linear algebra from a numerical solution perspective. Singular Value Decomposition, matrix factorizations, linear least squares, Gram-Schmidt orthogonalization, conditioning and stability, Eigen analysis, Krylov subspace methods and preconditioning and optimization and conjugate gradient methods.