At the end of the course, students possess informed knowledge of  methods and concepts of  numerical linear algebra for large matrices. For various applications, they choose and implement the right numerical methods and they are able to assess and establish convergence properties of these methods. Students  are able to solve problems in a self-organized and reflective manner, and to present and discuss solutions.

• Direct methods for sparse linear systems
• Krylov subspace methods for large linear systems and eigenvalue problems
• Matrix functions