Studying at the Chair of Mathematical Optimization
The Chair of Mathematical Optimization offers introductory and advanced courses as well as thesis opportunities on various topics in the field of optimization. Additionally, mathematics lectures are regularly provided for students from other disciplines, particularly mechanical engineering, transportation sciences, and chemistry.
© Amac Garbe
Courses offered by the Chair of Mathematical Optimization
Mathematical optimization can be understood as the interplay of three skills:
- Understand application problems and model them appropriately as optimization problems.
- Develop optimality conditions for classes of optimization problems in order to characterize solution candidates.
- Develop algorithms for classes of optimization problems that calculate solution candidates.
In the courses offered by the Chair of Mathematical Optimization, we train these three skills in introductory courses at Bachelor's level as well as in advanced and specialized courses at Master's level. One thematic focus here is on continuous optimization, non-smooth optimization and game theory, but there are also courses on linear or discrete optimization.
In addition, the Chair also offers mathematics courses for students from other faculties (in particular Engineering, Transport Science and Chemistry).