After successful completion of the course, students are able to solve basic numerical tasks in areas such as interpolation, extrapolation,
numerical integration, solution of linear and nonlinear equations.They should know the basic algorithms, their properties (convergence
properties, complexity, conditioning), and they should be able to realize the algorithms in a modern computing environment.
Work on realistic numerical projects. These include theoretical parts, e.g. concerning the design of nuerically stable algorithms,as well as practical computer implementation and testing and evaluation. Use of standard software (e.g. MATLAB).
The exercises deepen the understanding of the algorithms and their properties by some further mathematical analysis,
implementation of the algorithms in Matlab or Python, and studies of numerical examples that showcase the behavior of the algorithms.
