Past lectures and seminars

Summer term 2026

• Lecture Statistical Machine Learning (MSc)

Winter term 2025/26

• Lecture Theoretische Informatik I: Algorithmen (BSc)
• Research seminar "Machine Learning Theory" (runs constantly)

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 term 2015

• Statistical Learning Theory, course for the machine learning summer school, Tuebingen, Germany.
• 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 term 2007

• Course on "Clustering: Theory and Algorithms" at the Pascal Machine Learning Bootcamp, Barcelona, Spain
• 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