Information on how to do your thesis in Bachelor and Master Statistics and Data Science.
Key: Ludwig33
- Teacher: Andreas Bender
- Teacher: Bernd Bischl
- Teacher: Anne-Laure Boulesteix
- Teacher: Jörg Drechsler
- Teacher: Anna-Carolina Haensch
- Teacher: Christian Heumann
- Teacher: Sabine Hoffmann
- Teacher: Lea Höhler
- Teacher: Göran Kauermann
- Teacher: Christoph Kern
- Teacher: Frauke Kreuter
- Teacher: Christian Müller
- Teacher: Thomas Nagler
- Teacher: David Rügamer
- Teacher: Joseph Sakshaug
- Teacher: Fabian Scheipl
- Teacher: Volker Schmid
- Teacher: Michael Schomaker
- Teacher: Michael Schomaker
- Teacher: 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 self-study introductory video course and an online test. The second part consists of working on a project in groups of 2-3 students each. This project can be started at any time after finishing 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 self-study introductory video course and an online test. The second part consists of working on a project in groups of 2-3 students each. This project can be started at any time after finishing 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.
- Teacher: Matthias Aßenmacher
- Teacher: Andreas Bender
- Teacher: Bernd Bischl
- Teacher: Martina Brunner
- Teacher: Giuseppe Casalicchio
- Teacher: Anna-Carolina Haensch
- Teacher: Sabine Hoffmann
- Teacher: Göran Kauermann
- Teacher: Daniel Racek
- Teacher: Walter Radermacher
- Teacher: David Rügamer
- Teacher: Fabian Scheipl
- Teacher: Michael Windmann