Past lectures and seminars

Winter term 2024/25

Lecture Mathematics for Machine Learning
Research seminar "Machine Learning Theory" (runs constantly)

Summer term 2024

Lecture Statistical Machine Learning
Seminar Explainable Machine Learning, Master Machine Learning
Research seminar "Machine Learning Theory" (runs constantly)

Summer term 2023

Lecture Theoretical Computer Science 2: Computability and complexity theory for Bachelor Students
Seminar Tuebingen AI Exhibition: maintenance and discourse for master students

Winter term 2022

Lecture Theoretical Computer Science 1: Algorithms and Data Structures for Bachelor Students
Practical Tuebingen AI exhibition for Master Students

Summer term 2022

Lecture Statistical Machine Learning for Master Students
Seminar Tuebingen AI exhibition for Master Students: an interdisciplinary seminar jointly with students and lecturers of anthropology

Summer term 2021

Lecture Theoretical Computer Science: Theory of computation and complexity theory (BSc, 4+2 SWS)
Research seminar "Machine Learning Theory" (runs constantly)

Winter term 2020/21

Lecture Mathematics for Machine Learning (MSc, 4+2 SWS)
Research seminar "Machine Learning Theory" (runs constantly)

Summer term 2020:
- Lecture Statistical Machine Learning (4+2 SWS, MSc)
Summer term 2019:
- In the context of the Cyber Valley Discussion in Tübingen: Seminar KI, Wissenschaft, Gesellschaft und Verantwortung: Ein interaktives Seminar zur Meinungsbildung, involving professors from computer science, political science, the school of law, economics, philosophy and ethics; open to all university students.
- Statistical Machine Learning (Master CS, 4+2 SWS)
Winter term 2018/19:
- Algorithms (Bachelor CS, 4+2 SWS)
- Statistical Network Analysis (Master CS, 2+2 SWS, by Debarghya Ghoshdastidar)
Summer term 2018:
- Machine Learning: Algorithms and Theory (4 + 2 SWS), lecture course for Master Students
- Seminar Statistical Inference on Networks for Master students (2 SWS), taught jointly with Debarghya Ghoshdastidar
Winter term 2017/18
- Mathematik 1 for Bachelor Students (Bachelor CS, 4+2 SWS).
- Seminar Ethik und Wissenschaftstheorie des maschinellen Lernens, joint seminar by Thomas Grote (Ethics), Philipp Berens, Ulrike von Luxburg, for Master students of diverse disciplines.
Summer term 2017 Machine learning: theory and algorithms (Master students CS + Maths, 4+2 SWS).
Winter term 2016/17
- Mathematik 1 for Bachelor Students (Bachelor CS, 4+2 SWS)
- Seminar: Machine Lerning Theory: Crowdsourcing algorithms and their statistical analysis (Master CS)
Summer term 2016: Machine learning: algorithms and theory (Master CS and Maths, 4 + 2 SWS)
Summer 2015: Statistical Learning Theory, course for the machine learning summer school, Tuebingen, Germany.
Summer term 2015: Machine learning (Master CS and Maths, 4 + 2 SWS).
Winter term 2014/15: Algorithms and Data Structures (Bachelor CS, 3+1 SWS)
Summer term 2014: Machine learning (Master CS and Maths, 4 + 2 SWS).
Winter term 2013/14: Algorithms and Data Structures (Bachelor CS, 3+1 SWS)
Mathematical Theory of Machine Learning (Master Maths and CS, 2 SWS)
Summer term 2013: Machine learning / algorithmic learning (Master CS and Maths, 4+2 SWS)
Winter term 2012/13: Advanced algorithms (Master CS, 4+2 SWS)
Summer term 2012: Seminar Machine Learning (Master CS, 2 SWS)
Winter term 2011/12: Advanced Algorithms (Master CS, 4+2 SWS)
Summer term 2011: "Unsupervised learning and the analysis of networks" (Master CS, 2+2 SWS)
Winter term 2007/2008: "Mathematical theory of machine learning" at the Mathematics Department of the University of Tübingen
Summer 2007: Course on "Clustering: Theory and Algorithms" at the Pascal Machine Learning Bootcamp, Barcelona, Spain
Summer 2007: Practical Sessions on "Spectral Clustering and other graph based algorithms" at the Machine Learning Summer School, Tübingen, Germany. Matlab Graph Demo available here.
Summer term 2006: "Unsupervised Learning", TU Darmstadt
Winter term 2005/06: Seminar Machine Learning with Graphs, TU Darmstadt