After successful completion of the course, students are able to select and apply fundamental methods of scientific computing and to judge the challenges regarding computing time and implementation effort. Furthermore, the students have solution skills for inter-disciplinery problems, are able to evaluate and analyze computational approaches, and are able to scientifically formulate and extensively analyze compute-intensive problems as well as to develop appropriate approaches.
Lectures, exercises and discussion of case studies
Exercises hand-in, a minimum threshold is required to be eligible for the final examination at the end of the term
advanced knowledge in C++ and Python required!