Wetenschappelijk Programmeren

The course tries to bring students to a level where they are able to change algorithms from e.g. numerical analysis into efficient and robust programs that run on a simple computer.

It comprises: 1. Introduction to programming in general; 2. Floating point number rounding-off errors and numerical stability; 3. Numerical software design; 4. Data structures; 5. Testing, debugging and profiling; 6. Efficiency issues in computing time and memory usage; 7. Optimization and dynamic memory allocation; 8. Scientific software sources and libraries.