Introduction to Linear and Matrix Algebra. Direct methods for the solution of linear systems. Pivoting strategies, condition number, error analysis, determinants. Eigenvalues and eigenvectors. Diagonalisation. Iterative methods for sparse linear systems.
Laboratory exercises using Matlab in Unix-like environment.