Numerical simulation has long become an indispensable tool in all areas of mechanical engineering. In research, numerical simulation allows us to obtain information of mechanical systems in a level of detail that is usually inaccessible from experiments. In applications, it is used for parameter studies, optimisation and virtual prototyping. This course provides a thorough introduction to numerical techniques for the solution of linear systems, ordinary and partial differential equations, as needed for computational fluid dynamics. The fundamental issues of consistency, stability and convergence of numerical methods are treated, while maintaining a focus on their practical application.
The course is taught in English, integrating lectures with practical exercises. Numerical methods will be implemented in Python, using the Jupyter notebook format.
- Teaching coordinator: Bruant Xavier
- Teaching coordinator: Lesshafft Lutz