Sebastian Lerch - Teaching

Sebastian Lerch

Courses at Marburg University

Current courses (WS 2026/27):

Elementary Stochastics (lecture)
Forecasting: Theory and Practice (lecture)
Real-time Predictive Modeling (seminar)

For more information, please refer to the university portals (MARVIN and ILIAS).

I am regularly teaching undergraduate and graduate-level lectures, seminars and short courses for students of (business) mathematics, data science, and computer science, including Statistics and Statistical Learning, Machine Learning, Computational Statistics, Probabilistic Machine Learning, and others. Please refer to the course preview for future teaching plans.

BSc and MSc thesis projects

If you are interested in a thesis project in my group, please contact me via email with the following information:

topics of interest to you and your planned starting date
a current transcript of records
optionally a CV and/or a list of additional qualifications beyond the courses you attended.

Most thesis topics in my group will evolve around developing, implementing, and evaluating probabilistic forecasting models in various application domains such as meteorology, hydrology, energy forecasting, or economics. Another focus of potential topics is on the mathematical properties of forecast evaluation metrics and the methods underlying various statistical and machine learning-based forecasting models used in applications.

Therefore, working on a thesis project in my group typically requires a solid knowledge of statistics and machine learning, as well as concrete programming experience and the willingness to work with real-world datasets.

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