1. Review of vector spaces, inner product, determinants, rank
2. Eigenvalues, eigenvectors, characteristic polynomial
3. Unitary equivalence, QR-factorization
4. Canonical forms, Jordan form, polynomials and matrices
5. Hermitian and symmetric matrices, variational characterization of eigenvalues, simultaneous diagonalization
6. Norms for vectors and matrices
7. Location and perturbation of eigenvalues
8. Positive definite matrices. Singular value decomposition
9. Nonnegative matrices, positive matrices, stochastic matrices
10. Stable matrices; Lyapunovs theorem
11. Matrix equations and the Kronecker product, Hadamard product
12. Matrices and functions square roots, differentiation
Additional topics selected for the student presentations