One of my goals as a teacher is to encourage students to apply structured scientific thinking to all kinds of problems. It’s a great pleasure to experience the aha moment in the classroom when something counterintuitive happens but things are starting to making sense, or when a complex problem has been mastered.

Here you’ll find a short overview of my current courses (feel free to email me for more details, syllabi or class materials). My classes in Hannover are on hold as long as I am at UCSD. For the moment, I am mainly guest lecturing (for example on nighttime lights in Gordon McCords fantastic class on Remote Sensing at the Graduate School of Global Policy and Strategy).

Since summer 2015, I have been teaching a fourth year undergraduate course in growth theory, an elective course in intermediate business cycle theory and managing a large class on introductory macroeconomics at Leibniz University Hannover. You can find the course descriptions here.

More recently, I have been developing a course sequence in geospatial economics for graduate students. It’s a fun course which first teaches the toolkit for crunching geographic data in R and then replicates well-published papers using state-of-the-art techniques. I will be offering another rendition at the University of Göttingen later in 2020. 

I was actively involved in several econometrics classes at Maastricht University where we designed a course sequence for masters students and PhDs. I still enjoy teaching applied econometrics (for graduate students Göttingen and Hannover, in summer schools and for students in Braunschweig). My course short course Monte Metrics: Applied econometrics with Monte Carlo simulations might go on tour again over the coming years. In the meantime, I am always happy to share teaching materials.