Teaching
We offer courses in all classical fields of econometrics as well as seminars on specialized or emerging topics. Currently, the following courses are offered:
Bachelor
Vorkurs Mathematik
0KP | Dr. Zehrt
Statistik
6KP | Dr. Zehrt | HS21
Mathematik 1
6KP | Dr. Zehrt | FS21
Mathematik 2
6KP | Dr. Zehrt | HS21
Einführung in die Ökonometrie
6KP | Prof. Kleiber | FS23
Master
Advanced Mathematics for Economics
3KP | Dr. Zehrt | HS21
Univariate Time Series Analysis
3KP | Prof. Kleiber | HS22
Elements of Applied Probability
3KP | Prof. Kleiber | HS22
Seminar: Data Science
6KP | Prof. Kleiber et al. | HS22
Microeconometrics and Statistical Learning
3KP | Prof. Kleiber | FS23
At the beginning of every semester, a brief introduction to R is offered as part of the block course “Arbeiten mit wissenschaftlicher Software” (Engl: "Working with Scientific Software").
PhD
Elements of Applied Probability
3KP | Prof. Kleiber | HS22
Topics in Advanced Mathematics
6KP | Dr. Zehrt, at present Prof. Mahmoud | FS22
Seminars
References regarding seminars:
- Guidelines (in German) for seminar papers
- Guidelines (in German) for seminar presentations
Master's thesis
Here are some guidelines for writing an M. Sc. thesis at the Chair of Econometrics and Statistics (Prof. C. Kleiber).
Your own suggestions are also welcome. Sometimes topics arise as a result of internships, possibly because of access to data. Please ask at an early stage whether topics are suitable for an M.Sc. thesis.
R-Tutorien
Some materials on working with R are available from OLAT, in a subfolder of the undergraduate course "Introduction to Econometrics".
Instruction for data pre-processing: Datenmanagement in R: Eine Einführung.
The accompanying data set “DataDJ”: DataDJ.rda, DataDJ.xls, DataDJ.csv, DataDJ.txt.