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Data Science & Machine Learning

This course is offered in the winter semester. All lectures, tutorials, and the material will be in English.


Lecture Data Science & Machine Learning  (22 700)

Prof. Dr. Daniel Rösch

Tuesday, 12.00 - 2.00 pm

Start: 17.10.2023

Venue: H 3


Tutorial Data Science & Machine Learning  (22 701)

Matthias Nagl, M. Sc.

Thursday 6.00 - 7.30 pm

Start: 19.10.2023

Venue: H 15 / CIP Pool VG (VG 0.09)


This course will cover:

  • Linear Models

  • Generalized Linear Models

  • Feed-Forward Neural Networks

  • Recurrent Neural Networks

  • Convolutional Neural Networks

  • Natural Language Processing

  • Explainable Artificial Intelligence (XAI)

  • Computer Labs


Results of previous semesters

Semester Average course grade
WS 19/20 2,21
WS 20/21 2,28
WS 21/22 2,06

Further Informations


Detailed course description: Data Science & Machine Learning


  1. Faculty of Business, Economics and Management Information Systems
  2. Department of Business Administration

Chair of Statistics and Risk Management

Research Assistant

Matthias Nagl


Room RW(S) 213

Phone +49 941 943-2438
Fax +49 941 943-4936
E-Mail
Office hours: by arrangement