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Applied Deep Learning / Guided Research

This course is aimed at Master's students in Statistics and Data Science. Its goal is to deepen students' ability to apply deep learning methods in practice. Most projects are research-oriented and always supervised by one of the course instructors.

As in the Statistical Consulting course, projects are assigned based on availability. If you are interested in a guided research project, please familiarize yourself with the instructors' research and submit an application.



Trainers:

  • David Rügamer 
  • PhD Students in the muniq.ai group
  • Mina Rezeai

Enrollment Key: ApplDeeLear


Virtual Advanced Seminar for Degree Candidates at BayISS group

Theses topics AG Schmid.

Enrolment key: Schmid

Bachelor's / Master's Theses

Information on how to do your thesis in Bachelor and Master Statistics and Data Science.

Key: Ludwig33

Statistical Consulting (Bender/Hoffmann/Radermacher/Scheipl)

This course is aimed at students of statistics in the master's program (PO2010 & PO2021). Its goal is to deepen the ability to work in an interdisciplinary way and practice the communication of statistical methods and results.

The course consists of 2 parts. The first part consists of a series of obligatory introductory courses offered  every November. The second part consists of working on a project in groups of 2 students each. This project can be started at any time after attending the first part, even outside of lecture times.


Important:

Please enroll in the course with enrollment code "Consulting" to be informed by mail about current lecture dates, open projects and upcoming introductory events.