Teaching

Courses

Each course is stored in its own folder under the teaching data directory. This allows the site to scale naturally as more teaching entries are added.

Graduate / 2025

Advanced Econometrics

Placeholder course description covering statistical inference, identification, and empirical methods for modern econometric analysis.

  • Apply core econometric tools to real-world datasets
  • Interpret model assumptions and uncertainty carefully
  • Communicate statistical evidence in a transparent way
Course guide: Econometrics

Undergraduate / 2025

Statistical Learning for Social Data

Placeholder course description introducing supervised learning, prediction, and model validation in applied data settings.

  • Understand the logic of prediction and overfitting
  • Evaluate model performance using clear, reproducible criteria
  • Translate methods into substantive questions and evidence
Course guide: Data Science