Teaching

These pages provide supplementary information to students. For a comprehensive overview of my teaching activities, please refer to my CV.

Courses

Important challenges in European governance: Judicialization of Europe (ASTK18025U)

Master's level. University of Copenhagen. Department of Political Science. 2024.

Core subject in our EU specialization track. Course given together with Stein Arne Brekke.

Statistical models beyond linear regression (ASTK18414U)

Master's level. University of Copenhagen. Department of Political Science. 2023, 2024

Applied statistics class for political scientists.

Statistical analysis (STV4020B)

Master's/PhD level. University of Oslo. Department of Political Science. 2019, 2020

Advanced statistical analysis for social scientists. We go through the fundamental principals of causal inference as well as the most common generalized linear models (GLMs). Course given together with Øyvind Stiansen.

Samfunnsvitenskapelig forskningsmetode (SFS10207)

Bachelor's level. Østfold University College. Faculty of Business, Languages, and Social Sciences. 2013

Introduction to research methods. Course given together with Mathias Johannessen.

Tutorials and resources

What GLM model should I choose?

How can I choose the best (parsimonious) description of my data? Here is my mental map of model choice criteria, given the data generating process that produced my dependent variable. Play around with my decision tree for Generalized Linear Models (GLMs).

Where do I find my comparative politics data?

Embarking on your own research project can be daunting. What data already exists? And what data do I have to collect? Here, you can find my informal list of data resources relevant for my areas of resesarch in comparative politics.

Hvordan “skrape” data i R?

Det finnes et hav av digital informasjon der ute som vi kan bruke som data. Da er "skraping" (automatisert datainnsamling) gull verdt. Her finner du en gjennomgang av hvordan vi bruker R for å samle inn data fra nettet.

R + LaTeX = Sant

Latex og R arbeider godt sammen. Her finner du en kjapp gjennomgang av hvordan du kan jobbe med begge i RStudio.

Single lectures

IUROPA: Introduction to regression analysis

Professional workshop. University of Oslo. Faculty of Law. 2024

Brief introduction to linear regression in R.

PhD level. University of Copenhagen. Faculty of Law. 2023

Introduction to R.