SS24: Praktikum: Machine Learning for Time Series Analysis

In this Master's practical course, the students will deal with Deep Learning (DL) methods for spatio-temporal data analysis. The students will individually work with a meteorological dataset and develop different approaches for solving a given problem. To do this, students draw upon current approaches from the scientific literature. At the end of the semester, the different approaches are presented to the entire group and an evaluation on a common held-out test dataset is performed.

The focus of this course is on the theoretical development, practical implementation and scientifically sound evaluation of new Deep Learning approaches for spatio-temporal data.