Teaching
Coding Bootcamp for PhD Students
I also occasionally teach a week-long course (or shorter workshops on individual topics) for PhD students in economics and business fields as guest teacher at other departments. Analogously to already common pre-sessional courses in mathematics and statistics, the idea is to provide basic training in computer science and programming to students across fields, but more applied and after the first-year coursework.
Topics: Version control with Git and GitHub, Python fundamentals up to classes and inheritance, algorithmic complexity, tabular data processing, visualisation, textual data and natural language processing (with a focus on large language models and applications in economics research), web scraping, obtaining data from web APIs, local and cloud databases, cloud computing, project and code organisation. All topics are illustrated through code examples and exercises in Jupyter notebooks relevant to research in economics and business. An optional day can be added to discuss fundamentals in statistical machine learning and deep learning with further code examples in Python.
If you would like to obtain a more detailed outline do get in touch.