Computational models are a powerful scientific tool and there are plenty of courses in which you can learn about existing models in many domains of science. But what do you do when none of these models fit your problem? You have to invent your own, new model or modify an existing one. Many students and researchers find that this is not an easy problem and requires a different skill set than the analysis of a given, pre-defined model.
The goal of this course is to give you guidelines and practical experience in the development of computational models. Modelling is a bit like playing Lego. There is a relatively limited number of basic mathematical building blocks that can be combined in infinitely many ways. In short lectures, we will give you introductions to some of these building blocks. Afterwards, you get to apply them by developing models for different example problems. We'll help you in the process. Because that is only possible for a limited number of students, we can only admit 25 students. That also means that the course cannot be attended online.
Enrolment:
The course is targeted at students from all disciplines, but you will need a solid mathematical basis. That's why we kindly ask you to take a short math test before we admit you to the course. That will save you from being overwhelmed and will give us a decision criterion if there is too much interest. The test is open until April 15 at noon.
Course details:
Time: Tuesday, 10-12
Room: MAR 5.006
Start date: April 16
Teachers: Prof. Dr. Henning Sprekeler and Dr. Kristine Heiney.
- Trainer/in: Denis Alevi
- Trainer/in: Simone Ciceri
- Trainer/in: Henning Sprekeler