Machine Learning in Meteorology

The course will start with an introductory lecture into machine learning and an overview on various applications in the broad field of meteorology. Each student will be assigned an actual machine learning problem on which you will work during the semester with regular exchange with the supervisors. The course will close with a colloquium where everybody will present their results. The intended group size is 5 students.

Dates:

07 April, 15:00 - 16:00 : Introduction
05 May, 09:00 - 11:00  : Lecture 1  (room 3.136)
12 May, 12:00 - 14:00  : Lecture 2  (room 3.136)
09 June, 14:00 - 18:00  : Students' presentations on project and progress (room 3.137)
?? July,   ??:?? - ??:??     : Final presentations