Teaching

Summer term 2017

• Course Machine learning: theory and algorithms (Master students CS + Maths, 4+2 SWS). Details to come soon.
• TML graduate seminar
• Lunch Seminar Theoretical Computer Science

Winter term 2017/18

• Mathematik 1 for Bachelor Students (Bachelor CS, 4+2 SWS). Details will be provided later.
• Seminar Ethik und Wissenschaftstheorie des maschinellen Lernens, gemeinsame Veranstaltung von Thomas Grote, Philipp Berens, Ulrike von Luxburg (for Master students, taught in German). Bald mehr dazu ....
• TML graduate seminar
• Lunch Seminar Theoretical Computer Science

Bachelor or Master theses

How to write a Bachelor or Master thesis in our group:

• General information and first steps
• List of topics (login and password required, same as for all my lectures)
• Tips about how to actually write the thesis.

FAQ and HOWTO pages

• Exams: FAQ and how to prepare
• Seminars: how to prepare
• Anerkennung von Prüfungsleistungen
  • Bachelor/Master Informatik: bitte Unterlagen wie hier beschrieben einreichen (nicht bei mir!)
  • Master Medieninformatik: bitte schicken Sie mir alle Unterlagen als ein (!) pdf (!)-Dokument per email: Was wollen sie wof"ur anerkennen lassen; Zusammenfassung der Inhalte Ihrer besuchten Veranstaltung, zum Beispiel Auszug aus Modulhandbuch; Bestätigung, dass Sie die Veranstaltung bestanden haben, usw). Dann schaue ich mir die Sachen in Ruhe an und melde mich wieder bei Ihnen.

Consultation hour / Sprechstunde

I do not have a fixed time. Please send an email in which you explain why you want to talk to me, then we can make an appointment. Please do not just drop in my office unless it is really urgent.

Feedback Form

In case you want to send us anonymous feedback about one of our lectures or seminars, you can use our online feedback form.

Past lectures and seminars

• 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