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Technical University of Munich
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  • Team
    • Stephan Günnemann
    • Sirine Ayadi
    • Tim Beyer
    • Jonas Dornbusch
    • Eike Eberhard
    • Dominik Fuchsgruber
    • Nicholas Gao
    • Simon Geisler
    • Lukas Gosch
    • Filippo Guerranti
    • Leon Hetzel
    • Niklas Kemper
    • Amine Ketata
    • Marcel Kollovieh
    • Anna-Kathrin Kopetzki
    • Arthur Kosmala
    • Aleksei Kuvshinov
    • Richard Leibrandt
    • Marten Lienen
    • David Lüdke
    • Aman Saxena
    • Sebastian Schmidt
    • Yan Scholten
    • Jan Schuchardt
    • Leo Schwinn
    • Johanna Sommer
    • Tom Wollschläger
    • Alumni
      • Amir Akbarnejad
      • Roberto Alonso
      • Bertrand Charpentier
      • Marin Bilos
      • Aleksandar Bojchevski
      • Johannes Klicpera
      • Maria Kaiser
      • Richard Kurle
      • Hao Lin
      • John Rachwan
      • Oleksandr Shchur
      • Armin Moin
      • Daniel Zügner
  • Teaching
    • Sommersemester 2025
      • Advanced Machine Learning: Deep Generative Models
      • Applied Machine Learning
      • Seminar: Selected Topics in Machine Learning Research
      • Seminar: Current Topics in Machine Learning
    • Wintersemester 2024/25
      • Machine Learning
      • Seminar: Selected Topics in Machine Learning Research
      • Seminar: Current Topics in Machine Learning
    • Sommersemester 2024
      • Machine Learning for Graphs and Sequential Data
      • Advanced Machine Learning: Deep Generative Models
      • Applied Machine Learning
      • Seminar: Selected Topics in Machine Learning Research
    • Wintersemester 2023/24
      • Machine Learning
      • Applied Machine Learning
      • Seminar: Selected Topics in Machine Learning Research
      • Seminar: Machine Learning for Sequential Decision Making
    • Sommersemester 2023
      • Machine Learning for Graphs and Sequential Data
      • Advanced Machine Learning: Deep Generative Models
      • Large-Scale Machine Learning
      • Seminar
    • Wintersemester 2022/23
      • Machine Learning
      • Large-Scale Machine Learning
      • Seminar
    • Summer Term 2022
      • Machine Learning for Graphs and Sequential Data
      • Large-Scale Machine Learning
      • Seminar (Selected Topics)
      • Seminar (Time Series)
    • Winter Term 2021/22
      • Machine Learning
      • Large-Scale Machine Learning
      • Seminar
    • Summer Term 2021
      • Machine Learning for Graphs and Sequential Data
      • Large-Scale Machine Learning
      • Seminar
    • Winter Term 2020/21
      • Machine Learning
      • Large-Scale Machine Learning
      • Seminar
    • Summer Term 2020
      • Machine Learning for Graphs and Sequential Data
      • Large-Scale Machine Learning
      • Seminar
    • Winter Term 2019/2020
      • Machine Learning
      • Large-Scale Machine Learning
    • Summer Term 2019
      • Mining Massive Datasets
      • Large-Scale Machine Learning
      • Oberseminar
    • Winter Term 2018/2019
      • Machine Learning
      • Large-Scale Machine Learning
      • Oberseminar
    • Summer Term 2018
      • Mining Massive Datasets
      • Large-Scale Machine Learning
      • Oberseminar
    • Winter Term 2017/2018
      • Machine Learning
      • Oberseminar
    • Summer Term 2017
      • Robust Data Mining Techniques
      • Efficient Inference and Large-Scale Machine Learning
      • Oberseminar
    • Winter Term 2016/2017
      • Mining Massive Datasets
    • Sommersemester 2016
      • Large-Scale Graph Analytics and Machine Learning
    • Wintersemester 2015/16
      • Mining Massive Datasets
    • Sommersemester 2015
      • Data Science in the Era of Big Data
    • Machine Learning Lab
  • Research
    • Robust Machine Learning
    • Machine Learning for Graphs/Networks
    • Machine Learning for Temporal and Dynamical Data
    • Bayesian (Deep) Learning / Uncertainty
    • Efficient ML
    • Code
  • Publications
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  2. Teaching

Teaching

Summer term 2025

  • Lecture: Advanced Machine Learning: Deep Generative Models
  • Lab Course: Applied Machine Learning
  • Seminar: Selected Topics in Machine Learning Research
  • Seminar: Current Topics in Machine Learning
  • Oberseminar: Data Mining and Machine Learning
  • Doktorandenseminar

Winter term 2024/25

  • Lecture: Machine Learning
  • Seminar: Selected Topics in Machine Learning Research
  • Seminar: Current Topics in Machine Learning
  • Oberseminar: Data Mining and Machine Learning
  • Doktorandenseminar

Summer term 2024

  • Lecture: Machine Learning for Graphs and Sequential Data
  • Lecture: Advanced Machine Learning: Deep Generative Models
  • Lab Course: Large-Scale Machine Learning
  • Seminar: Selected Topics in Machine Learning Research
  • Oberseminar: Data Mining and Machine Learning
  • Doktorandenseminar

Winter term 2023/24

  • Lecture: Machine Learning
  • Lab Course: Large-Scale Machine Learning (Machine Learning Lab)
  • Seminar: Machine Learning for Sequential Decision Making
  • Seminar: Selected Topics in Machine Learning Research
  • Oberseminar: Data Mining and Machine Learning
  • Doktorandenseminar

Summer term 2023

  • Lecture: Machine Learning for Graphs and Sequential Data
  • Lecture: Advanced Machine Learning: Deep Generative Models
  • Lab Course: Large-Scale Machine Learning
  • Seminar: Selected Topics in Machine Learning Research
  • Oberseminar: Data Mining and Machine Learning
  • Doktorandenseminar

Winter term 2022/23

  • Lecture: Machine Learning
  • Lab Course: Large-Scale Machine Learning (Machine Learning Lab)
  • Seminar: Selected Topics in Machine Learning Research
  • Oberseminar: Data Mining and Machine Learning
  • Doktorandenseminar

Summer term 2022

  • Lecture: Machine Learning for Graphs and Sequential Data
  • Lab Course: Large-Scale Machine Learning (Machine Learning Lab)
  • Seminar: Selected Topics in Machine Learning Research
  • Seminar: Machine Learning for Time Series Data: An Applied Perspective
  • Oberseminar: Data Mining and Machine Learning
  • Doktorandenseminar

Winter term 2021/22

  • Lecture: Machine Learning
  • Lab Course: Large-Scale Machine Learning (Machine Learning Lab)
  • Seminar: Selected Topics in Machine Learning Research
  • Oberseminar: Data Mining and Machine Learning
  • Doktorandenseminar

Summer term 2021

  • Lecture: Machine Learning for Graphs and Sequential Data
  • Lab Course: Large-Scale Machine Learning (Machine Learning Lab)
  • Seminar: Selected Topics in Machine Learning Research
  • Oberseminar: Data Mining and Machine Learning
  • Doktorandenseminar

Winter term 2020/21

  • Lecture: Machine Learning
  • Lab Course: Large-Scale Machine Learning (Machine Learning Lab)
  • Seminar: Selected Topics in Machine Learning Research
  • Oberseminar: Data Mining and Machine Learning
  • Doktorandenseminar

Summer term 2020

  • Lecture: Machine Learning for Graphs and Sequential Data
  • Lab Course: Large-Scale Machine Learning (Machine Learning Lab)
  • Seminar: Selected Topics in Machine Learning Research
  • Oberseminar: Data Mining and Machine Learning
  • Doktorandenseminar

Winter term 2019/20

  • Lecture: Machine Learning
  • Lab Course: Large-Scale Machine Learning (Machine Learning Lab)
  • Oberseminar: Data Mining and Machine Learning
  • Doktorandenseminar

Summer term 2019

  • Lecture: Mining Massive Datasets
  • Praktikum: Large-Scale Machine Learning (Machine Learning Lab)
  • Oberseminar: Data Mining and Machine Learning

Winter term 2018/19

  • Lecture: Machine Learning
  • Lab course: Large-Scale Machine Learning (Machine Learning Lab)
  • Oberseminar: Data Mining and Machine Learning

Summer term 2018

  • Lecture: Mining Massive Datasets
  • Lab course: Large-Scale Machine Learning (Machine Learning Lab)
  • Oberseminar: Data Mining and Machine Learning

Winter term 2017/2018

  • Lecture: Machine Learning
  • Oberseminar: Data Mining and Machine Learning
  • Information: Starting with the next winter term, we will offer the lecture "Machine Learning (IN2064)". The lecture "Mining Massive Datasets (IN2323)" will be moved to the summer terms.

Summer term 2017

  • Seminar: Robust Data Mining Techniques
  • Seminar: Efficient Inference and Large-Scale Machine Learning
  • Oberseminar: Data Mining and Machine Learning

Winter term 2016/2017

  • Lecture: Mining Massive Datasets

Summer term 2016

  • Lab course: Large-Scale Graph Analytics and Machine Learning

Winter term 2015/2016

  • Lecture: Mining Massive Datasets

Summer term 2015

  • Seminar: Data Science in the Era of Big Data
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Informatics 26 - Data Analytics and Machine Learning


Prof. Dr. Stephan Günnemann

Technical University of Munich
TUM School of Computation, Information and Technology
Department of Computer Science 
Boltzmannstr. 3
85748 Garching
Germany

Secretary's office:
Room 00.11.057
Phone: +49 89 289-17256
Fax: +49 89 289-17257

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