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