Teaching

Bachelor and Master thesis projects can be found on the page “Science”.

Data Science Survival Skills [DSSS]

VL+UE (2 SWS VL, 2 SWS Exercises)5 ECTS WS 2021/2022: Mo 10-12, Fr 12-14

In DSSS, we teach survival skills, meaning knowledge that is crucial for a career in data science, and to work very efficiently. We will cover among others the following topics intensively:

  • File formats for text, images, structured and arbitrary data
  • Multithreading and multiprocessing
  • Just-in-time compilation using numba
  • Multithreading and multiprocessing
  • Prototyping graphical user interfaces

Fantastic datasets and where to find them [FANDAT]

SEM (2 SWS)2.5 ECTSWS 2021/2022: Thu 13-15

In this seminar, we investigate where to get (biomedical) datasets, how to look for them, and how to evaluate them. What turns a dataset good or bad? How is it used in the community? And what impact do they have in machine and deep learning? In particular, we discuss after individual talks interesting aspects of the dataset or the accompanying paper.

Cognitive Neuroscience for AI Developers [CNAID]

VL (4 SWS)5 ECTSWS 2021/2022: Mo 16-18, Tue 16-18

CNAID is a lecture designed by Patrick Krauß, Andreas Maier and Andreas M Kist. We highlight the basics of Cognitive Neuroscience and discuss biological implementations of neural networks. We further connect biology and artificial intelligence by giving specific examples how both are linked together, and how aspects of AI are inspired of biology.

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