Machine Learning in Meteorology

The course will start with two introductory lectures into machine learning and an overview on various applications in the broad field of meteorology. Each student will be assigned an actual machine learning science problem on which they will work during the semester with regular exchange with the supervisors. The course will have an interim and a final presentation, as well as a write-up of the results of each of the projects.

The first meeting will be at the very beginning of the semester and follow-up meetings will be defined together with the group of students and supervisors.