Practical Courses
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Model- and data-based methods in the natural sciences

You would like to expand your knowledge of numerical modelling, data analysis and machine learning?

At MoDaNa, you will have the opportunity to work in interdisciplinary teams on current, application-oriented research projects in areas such as climate change, epidemiology, materials research and biodiversity. You will learn new methods and gain practical experience while doing so.

This internship is particularly aimed at students of physics, mathematics and chemistry.

 

Responsible:

Prof. Dr. Mario Ohlberger , Prof. Dr. Christian Engwer , Prof. Dr. Andreas Heuer ,  PD Dr. Svetlana Gurevich

Contact:

gurevics@uni-muenster.de

  • Summer term 2025

    The preliminary discussion and assignment of topics will take place on Tuesday, 15 April 2025 at 16:15 in Lecture Hall M6 (Einsteinstraße 64).

    Topics:

    • El Niño predictions: An Introduction to data-driven climate research
    • Opinion dynamics in social networks
    • From Sparks to Wildfires: Modelling and Simulation of Forest Fires

    Further information is available on Learnweb.

Data science practical course

In cooperation with the Institute for Applied Informatics, we will develop a data science practical course.

We are working on it, so stay tuned.