Competencies / intended learning achievements
Upon successful completion of this module, the students are familiar with different methods to solve and model the uncertainty in optimization. They know and understand the complexities of the approaches and are able to solve the problems with the help of specific algorithms. In particular, for problems with a suitable structure, they are able to construct reformulations as non-uncertain optimization problems. Moreover, they can critically assess the possibilities and limitations of the use of the concepts. They understand the proofs presented in the lecture and are able to reproduce and explain them.
In the exercise classes, the students have deepened their knowledge and gained a skilled, precise and independent handling of the terms, propositions and methods taught in the lecture.