Jaap Kaandorp (UvA), Jaap Molenaar (WU), Hans Stigter (WU), Cajo ter Braak (WU)
The total study load of the course is 3 EC.
Many problems in bioinformatics and systems biology require at a certain moment application of some optimisation technique. When facing optimisation problems, many researchers suffice with applying a simple algorithm in Excel, coming to the conclusion that it does not work properly or runs into convergence problems. It is not necessary to stick to that stage, since optimisation is a rapidly expanding field of research, that generates more and more efficient, successful, and easy-to-use algorithms.
This course is intended to provide you with the main ideas underlying optimisation, and to get you acquainted with the optimisation techniques that are nowadays available and widely used. In addition, a great variety of examples of optimisation problems in life sciences will be presented and discussed.
We assume that the participants have some basic knowledge of modelling in the life sciences. However, it is not necessary to be an expert in mathematics, since the course starts with a session to refresh the mathematical background needed for optimisation.
For past editions check the course archive