Weekly Content
Week01: LLM Review
What are LLMs, how is the magic happening. A non-technical brief intro. How to work with LLMs? Plus ideas on applications. Includes suggested readings, podcasts, and vids to listen to.
Which AI? See my take on current models. As of May 2025.
Week02: Data and code discovery and documentation with AI
Learn how to write a clear and professional code and data documentation. LLMs are great help once you know the basics.
Case study: World Values Survey. Data is at WVS
Week 03: Writing Reports
You have your data and task, and need to write a short report. We compare different options with LLM, from one-shot prompt to iteration.
Case study: World Values Survey. Data is at WVS
Week04: Data wrangling, joining tables
When asked about what I shall add to my textbook, David Card, the Nobel winning empirical economist told me that I shall spend time with joining tables. Here we go.
Case study: simulated Austrian hotels. Data is at hotels
Week05: Text as data 1 – intro lecture
No course of mine can escape football (soccer). Here we look at post-game interviews to learn basics of text analysis and apply LLMs in what they are best - context dependent learning. Two class series. First is more intro to natural language processing.
Case study: football post-game interviews. Data is at interviews
Week06: Text as data 2 – practice
Second class, now we are in action. How does LLM compare to humans?
Case study: football post-game interviews. Data is at interviews
Week07: Creating simulations with apps and dashboards
TBA
Week08: AI as research companion
TBA