Modeling and simulation - math in a nutshell

Reduction to the essentials - this is the aspect we want to shed more light on in this event:

Prof. Dr. Wilfried Herget, University of Halle-Wittenberg
Getting to the heart of math!

Always just "practise, practise, practise..."? How can I prioritize content in my lessons? What can I make more detailed and where can I shorten things? And what happens if I leave something out of a task? Less is sometimes more. Sometimes. That means reduction. However, reduction does not mean simply omitting demanding things or breaking them down into tiny pieces. Rather, it means examining whether what is demanding is really essential - and then taking the necessary time for it. And to find a way to make the challenging essential morsel sufficiently digestible. This very basic principle will be discussed in the lecture, particularly with regard to the selection and formulation of tasks - right up to the Abitur.

Prof. Lutz Angermannn, Dr. Henning Behnke
Modeling and simulation

The derivation, analysis and numerical simulation of mathematical models of real processes is a basic task of applied mathematics. A model is a simplified representation of reality that only takes into account certain aspects that can be objectified within a certain framework - in other words, an attempt to bring reality to a point. The course is intended to provide an overview of the principles, tools and examples of modeling and simulation, both from a school perspective, for example when solving problems, and in a broader context.

Program