Students are introduced to the foundations of CSE (computational science and engineering) and HPC (high-performance computing). The course covers methods, tools and good practices for software development in applied mathematics. By the end of this course, students will master the complete simulation pipeline that comprises
- mathematical modelling
- preprocessing
- solvers
- postprocessing
with a focus on applications in CFD (computational fluid dynamics) including non-Newtonian fluids.
Prerequisites: The course assumes a solid background in undergraduate applied mathematics, in particular numerical methods, differential equations and linear algebra. Prior experience with programming in Python will be helpful, but is not essential.
- Lehrende:r: Susanne Drees
- Lehrende:r: Hannes Ruelmann
- Lehrende:r: Timm Treskatis