Here you can find a chronological list of my teaching and organizational activities.
Summer Term 2023
- Reinforcement Learning (Lecture)
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)