teaching

Current courses

• Prompt Engineering for Economists, University of St.Gallen, joint with Thiemo Wambsganss (BFH) and Marting Kolmar (HSG), (Bachelor level, elective, 25 students, EN)
  This course explores the use of large language models (LLMs) in education, with a focus on how they can be used to enhance teaching, learning, and research in economics. Students will learn about the benefits and limitations of LLMS and will gain hands‑on experience in working with and prompting LLMs in the context of coding, math, writing, and beyond.

• Big Data Analytics, University of St.Gallen and University of Lucerne. (Master level, elective, 30 students, EN)
  This course introduces students to the concept of Big Data in the context of empirical economic research. Students learn about the computational constraints underlying Big Data Analytics and how to handle them in the statistical computing environment R (local and in the cloud). Revisiting basic statistical/econometric concepts, we look at each step of dealing with large data sets in empirical economic research.

• Data Handling: Import, Cleaning, and Visualisation, University of St.Gallen. (Bachelor level, mandatory, 200 students, EN)
  This course introduces students to the fundamental practices of Data Science in the context of economic research. The course covers basic theoretical concepts and practical skills in gathering, preparing/cleaning, visualising, storing, and analysing data.

• Introduction to Web Mining for Social Scientists, University of St.Gallen. (Master level, elective, 30 students, EN)
  This course introduces students to the automated collection of data from websites and social media. Students get to know basic concepts of web mining and learn to use tools that enable them to compile their own data sets from web sources.

Previous courses

• 2019 Big Data Statistics for R and Python, University of St.Gallen. (Master level, elective, 30 students, EN)
• 2018 Public Finance, University of St.Gallen. (Bachelor level, mandatory, 120 students, EN)
• 2016 Introduction to Political Economics, University of Basel. (Bachelor level, mandatory course, 450 students, DE)

Teaching experience as teaching assistant (University of Basel)

Seminar in Markets and Public Policy (Master level), Public Choice and Public Economics (Bachelor level), Introduction to Political Economics (Bachelor level), Seminar in Public Choice and Public Economics (Bachelor level), Rational Choice (Master level), Economic Theory of Politics (Master level).