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