Teaching

Throughout my scientific career, I have been involved in several teaching activities such as lecturing, tutoring or mentoring.

Lectures

The following list enumerates some of my main individual lectures given. A long list can be found on speakerdeck.

  • Bayesian hypotheses comparison on sequential data with HypTrails (WWW 2016 tutorial) [speakerdeck]
  • Markov Chain modeling (WWW 2016 tutorial) [speakerdeck]
  • Introduction to Bayesian Statistics (MLDM course) [speakerdeck]
  • Introduction to Bayesian Statistics v2 (Data Science course) [speakerdeck]
  • Modeling and Mining Sequential Data (MLDM course) [speakerdeck]

Jupyter notebooks

Throughout my teaching activities, I have prepared several jupyter python notebooks. Some selected notebooks will be listed next; a longer list is available on github and nbviewer.

  • Introduction to Bayesian Inference [nbiewer]
  • Bayesian hypotheses comparison on sequential data with HypTrails [nbiewer]
  • Markov Chain modeling [nbviewer]
  • Bayesian correlation with PyMC [nbviewer]

Courses

I have been involved in the following courses:

  • Data Science at the University of Koblenz, summer term 2016 [website]
    Main responsibilities: guest lecturing
  • Machine Learning and Data Mining at the University of Koblenz, winter term 2015 [website]
    Main responsibilities: lecturing, home assignments, tutorials
  • Computational Social Science at the University of Koblenz, summer term 2014 [material]
    Main responsibilities: home assignments, tutorials

Tutorials

I have been involved in the following tutorials:

  • Philipp Singer and Florian Lemmerich,
    Analyzing Sequential User Information on the Web,
    25th International World Wide Web Conference, Montreal, Canada, 2016 [PDF] [website] new