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
Important: This course is aimed for master’s students, in particular for students registered in the master’s program 066 646 Computational Science and Engineering.
Exercises hand-in, a minimum threshold is required to be eligible for the final examination at the end of the term
Students registered in the master's program "Computational Science and Engineering" will be prioritized (compulsory subject).
advanced knowledge in C++ and Python required!
