Teaching

Here you can find a chronological list of my teaching and organizational activities.

Winter Term 2020/2021

  • Machine Learning in Practice (Seminar)

Summer Term 2021

  • “Using NLP to Predict Big Five Personality Traits from Social Media Entries” (Master Thesis by Rebecca Sophia Sylvester)
  • Concepts in Action: Representation, Learning, and Application (Workshop)

Winter Term 2020/2021

  • Natural Language Processing (Seminar)
  • “One-Shot Concept Learning in Conceptual Spaces” (Bachelor Thesis by Leonard Frommelt)

Summer term 2020

  • Concepts in Action: Representation, Learning, and Application (Workshop)

Winter Term 2018/2019

  • Practical Seminar: Machine Learning for Natural Language Processing (Seminar)
  • “Rating Different Machine Learning Algorithms on Their Performance to Classify Diabetes on the Basis of Health Insurance Data” (Bachelor Thesis by Jana Kiesewalter)

Summer Term 2018

  • Conceptual Spaces – Applications and Learning (Seminar)
  • Concepts in Action: Representation, Learning, and Application (Summer School and Workshop)

Winter Term 2017/2018

  • Natural Language Processing (Seminar)
  • Predicting Health Risks from Big Data (Study Project & Interdisciplinary Seminar)

Summer Term 2017

  • Conceptual Spaces – Applications and Learning (Seminar)
  • Predicting Health Risks from Big Data (Study Project & Interdisciplinary Seminar)
  • Colloquium of the Institute of Cognitive Science (Interdisciplinary Research Colloquium)

Winter Term 2016/2017

  • Artificial General Intelligence: Aspects and Approaches (Seminar)
  • Predicting Health Risks from Big Data (Study Project & Interdisciplinary Seminar)
  • Colloquium of the Institute of Cognitive Science (Interdisciplinary Research Colloquium)