© CeNoS

Mastering Complexity to Navigate a Complex World

To understand the complex processes in the world around us and to interpret the vast amount of complex datasets available today  we need a set  of scientific methods. This website links to courses that will provide the basic tools and concepts to model and quantitatively analyze complex systems or data sets and will enable the students to apply this knowledge to their specific scientific field or in an interdisciplinary context.


  • Data Driven Approaches

    The rapid development of technological possibilities for the generation, networking and processing of data continuously opens up new possibilities for the use of data driven methods in research, development and application. Here several courses ranging vom basuc data analysis to KI are offered.

    Introduction to Bayesian statistics

    A short Course on Causal Inference 

  • Machine Learning and Artificial Intelligence 

    The InterKIWWU programm offers a university-wide range of courses on machine learning (ML) and artificial intelligence (AI) with basic modules, advanced modules on applications in various fields of science and advanced modules on in-depth aspects. Additional expanding modules give space for reflections on AI with regard to sustainability and ethics, and consider the transfer to business.

    InterKIWWU - Teaching Program on ML and KI