teaching
Teaching is an interruption, and so it's the greatest pain in the neck in the world. — Richard P. Feynman
Software environment for teaching
We teach numerical techniques and their respective application to problems from science and engineering. In order to participate in our classes, we provide an Ubuntu 16.04 LTS operating system image with all required software preinstalled. The image can be run in the computer labs (using bwLehrpool) or on any other computer using a virtualization solution, for example VirtualBox. The image can be downloaded here (Size: 9 GB, v1.1).
Current classes
Summer term 2023
High-Performance Computing: Fluid Mechanics with Python
High-Performance Computing: Molecular Dynamics with C++
Historic classes
Winter term 2022/23
Differential Equations (in German)
Simulation techniques (in German)
Summer term 2022
High-Performance Computing: Fluid Mechanics with Python
High-Performance Computing: Molecular Dynamics with C++
Winter term 2021/22
Differential Equations (in German)
Micromechanics
Simulation techniques (in German)
Summer term 2021
High-Performance Computing: Fluid Mechanics with Python
High-Performance Computing: Molecular Dynamics with C++
Winter term 2020/21
Differential Equations (in German)
Micromechanics
Simulation techniques (in German)
Summer term 2020
High-Performance Computing with Python
Molecular Statics and Dynamics
Simulation (in German)
Winter term 2019/20
Differential Equations (in German)
Micromechanics
Spectral Simulation Methods with Python
Summer term 2019
High-Performance Computing with Python
Molecular Statics and Dynamics
Simulation (in German)
Winter term 2018/19
Differential Equations (in German)
High-Performance Computing with Python
Micromechanics
Summer term 2018
Dynamics of MEMS
Molecular Statics und Dynamics
MST Simulation (in German)
Winter term 2017/18
High-Performance Computing with Python
Contact, Adhesion, Friction
Particle Simulation Methods
Seminar der Simulation