Teaching

Seminar (SEM)

• Advanced Machine Learning for Anomaly Detection

  • 2 SWS; Expected participants: 20; Allowed for guest students
  • Date:
    • Time and place on appointment

• Seminar Humans in the Loop: The Design of Interactive AI Systems

  recommended prerequisites:

  Deep Learning ML Prof. Dr. Andreas Maier 2+2 5 x E

  Pattern Recognition ML Prof. Dr. Andreas Maier 3+1+2 5 x E

  Maschinelles Lernen für Zeitreihen ML Prof. Eskofier, Prof. Oliver Amft, Dr. Ch. Mutschler 2+2+2 7.5 x E

  • 2 SWS; Expected participants: 20; ECTS studies (ECTS credits: 5), Lecture's language English
  • Date:
    • Time and place on appointment

Lecture (VORL)

• Algorithms, programming, and data representation

  Learning how to program in English and focus on Python

  • 4 SWS; Expected participants: 800; ECTS studies (ECTS credits: 5), Lecture's language English
  • Date:
    • Mon 08:15-09:45, Room H11 ICS

Colloquium (KO)

• Algorithms, programming, and data representation lecturer coordination

  • 1 SWS; Expected participants: 5
  • Date:
    • Time and place on appointment

• Kolloquium Machine Learning for Health Data Science

  • 3 SWS; Expected participants: 10; Allowed for guest students, Lecture's language English
  • Date:
    • Fry 12:00-15:00, Room Zoom-Meeting (exclude vac) ICS

• Kolloquium Normative Representation Learning

  • 2 SWS; Expected participants: 10; Allowed for guest students, Lecture's language English
  • Date:
    • Wed 17:00-19:00, Room Zoom-Meeting ICS

Exercise (UE)

• Algorithms, programming, and data representation; Exercise

  • 2 SWS; Expected participants: 800; ECTS studies (ECTS credits: 2,5), Lecture's language English
  • Date:
    • Time and place on appointment

• Algorithms, programming, and data representation; Tutorial

  • 2 SWS; Expected participants: 800; ECTS studies (ECTS credits: 2,5), Lecture's language English
  • Date:
    • Time and place on appointment

Other courses (SL)

• Project Representation Learning

  recommended:

  Deep Learning ML Prof. Dr. Andreas Maier 2+2 5 x E

  Pattern Recognition ML Prof. Dr. Andreas Maier 3+1+2 5 x E

  Maschinelles Lernen für Zeitreihen ML Prof. Eskofier, Prof. Oliver Amft, Dr. Ch. Mutschler 2+2+2 7.5 x E

  • 8 SWS; Expected participants: 20; ECTS studies (ECTS credits: 10)
  • Date:
    • Time and place on appointment