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
- Trainer/in: Mina Rezaei
- Trainer/in: David Rügamer
Theses topics AG Schmid.
Enrolment key: Schmid
- Trainer/in: Volker Schmid
Information on how to do your thesis in Bachelor and Master Statistics and Data Science.
Key: Ludwig33
- Trainer/in: Andreas Bender
- Trainer/in: Bernd Bischl
- Trainer/in: Anne-Laure Boulesteix
- Trainer/in: Jörg Drechsler
- Trainer/in: Anna-Carolina Haensch
- Trainer/in: Christian Heumann
- Trainer/in: Sabine Hoffmann
- Trainer/in: Lea Höhler
- Trainer/in: Göran Kauermann
- Trainer/in: Christoph Kern
- Trainer/in: Frauke Kreuter
- Trainer/in: Christian Müller
- Trainer/in: Thomas Nagler
- Trainer/in: David Rügamer
- Trainer/in: Joseph Sakshaug
- Trainer/in: Fabian Scheipl
- Trainer/in: Volker Schmid
- Trainer/in: Michael Schomaker
- Trainer/in: Michael Schomaker
- Trainer/in: Daniel Wilhelm
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.
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.
- Trainer/in: Matthias Aßenmacher
- Trainer/in: Andreas Bender
- Trainer/in: Bernd Bischl
- Trainer/in: Martina Brunner
- Trainer/in: Giuseppe Casalicchio
- Trainer/in: Anna-Carolina Haensch
- Trainer/in: Sabine Hoffmann
- Trainer/in: Göran Kauermann
- Trainer/in: Daniel Racek
- Trainer/in: Walter Radermacher
- Trainer/in: David Rügamer
- Trainer/in: Fabian Scheipl
- Trainer/in: Michael Windmann