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MOOC „Artificial Intelligence and Machine Learning” (JKU Linz, TU Wien)

eInformatics@Austria / The MOOCs / MOOC „Artificial Intelligence and Machine Learning” (JKU Linz, TU Wien)

The MOOC „Artificial Intelligence & Machine Learning” is offered at a scope of 90 studying hours (equivalent to 3 ECTS).

Basic concepts and selected (introductory) algorithms in the field of machine learning are taught. In addition, important social topics like fairness & ethics and legal aspects are embraced.

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Figure 1: Machine Learning Taxonomie

Type of the MOOC: object animations

Chapters

  1. Introduction (study time 2h)
  2. Basic Machine Learning (ML) Concepts (study time 5h)
  3. Data & Applications (study time 10h)
  4. Evaluation (study time 10h)
  5. Algorithm Class #1 (Rule-based Classification & Regression) (study time 20h)
  6. Algorithm Class #2 (Clustering) (study time 20h)
  7. Algorithm Class #3 (Kernel Methods) (study time 20h)
  8. Fairness, Ethics & Co in Machine Learning (study time 2h)
  9. Outlook on further Topics in Artificial Intelligence & Machine Learning (study time 1h)
  10. Teaser

Participating Universities

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Johannes Kepler Universität Linz Institute of Computational Perception
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Technische Universität Wien Forschungsbereich Machine Learning

Team

  • Thomas Gärtner (lead of the MOOC, TUW), thomas.gaertner at tuwien.ac.at
  • Markus Schedl (lead of the MOOC, JKU), markus.schedl at jku.at
  • David Penz (university assistant, project manager of the MOOC, JKU, TUW), david.penz at tuwien.ac.at
  • Günter Klambauer (JKU), klambauer at ml.jku.at

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