Teaching

WiSe 2020/21

Lecture / exercise

• Deep Learning - Theorie und Praxis (Modellierung II)
  Instructor: Univ.-Prof. Dr. Michael Wand
• Statistical Geometrical Processing
  Instructor: Univ.-Prof. Dr. Michael Wand

Seminar

• Masterseminar
  Instructor: Univ.-Prof. Dr. Ernst Althaus; Dr. rer. nat. Markus Blumenstock; Jun.-Prof. Dr. Panagiotis Bouros; Univ.-Prof. Dr. André Brinkmann; Univ.-Prof. Dr. Sebastian Erdweg; Univ.-Prof. Dr. Stefan Walter Theodor Kramer; Univ-Prof. Dr. Bertil Schmidt; Univ.-Prof. Dr. Felix Martin Schuhknecht; Univ.-Prof. Dr. Elmar Schömer; Univ.-Prof. Dr. Michael Wand
• Masterseminar (PO22)
  Instructor: Univ.-Prof. Dr. Ernst Althaus; Dr. rer. nat. Markus Blumenstock; Jun.-Prof. Dr. Panagiotis Bouros; Univ.-Prof. Dr. André Brinkmann; Univ.-Prof. Dr. Sebastian Erdweg; Univ.-Prof. Dr. Andreas Hildebrandt; Univ.-Prof. Dr. Stefan Walter Theodor Kramer; Univ-Prof. Dr. Bertil Schmidt; Univ.-Prof. Dr. Felix Martin Schuhknecht; Univ.-Prof. Dr. Elmar Schömer; Univ.-Prof. Dr. Michael Wand
• Towards Understanding Deep Learning
  Instructor: Univ.-Prof. Dr. Michael Wand

Lab Course

• Modellbildung II Praktikum
  Instructor: Univ.-Prof. Dr. Michael Wand

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WiSe 2025/26