Instructors: Rolf Krause
Academic Programs: Bachelor of Science in Informatics
Workload: 3 ECTS
Computational Science, i.e. the mathematical modeling and numerical simulation of real world problems in natural and social sciences, engineering, finance, biology, and medicine, is of paramount importance for our modern knowledge and technology driven society. In fact, nowadays, computational science is indispensable in science, research, development, and industry. Within this course, we will introduce basic and central concepts and techniques of mathematical modeling and numerical simulation and we will show how they can be used to model and simulate realistic problems. We will deal with condition numbers, numerical solution of linear systems, numerical solution of dynamic problems, and classical interpolation and approximation. Each of the presented numerical methods will be mathematically analyzed, implemented, and tested along a real world problem. Thus, the course will not only introduce methods and tools in Computational Science, but it will also create a direct bridge between theory and application.