Max. Teilnehmeranzahl

Prof. Dr. Claudius Gräbner-Radkowitsch

Elective course (MIM SQ 07)
Module: Microeconomic data analysis
You will receive 5 CP for successfully completing this course
Language of instruction: English

Learning goals
You will be introduced to the statistical programming language R. At the end of the course you will be able to perform all essential steps of a quantitative data analysis in R yourself. This includes:

(i)               data acquisition and preparation,

(ii)             visualization of the data on a publication-ready level, and

(iii)           analysis of the data using both traditional statistics and regression analysis, as well as modern tools from the field of machine learning. You will learn how to write visually appealing and reproducible reports in R Markdown and use the version control system Git for (collaborative) code development.

Type of examination: Your final grade is composed of:
-        A mid term open book exam (50%)
-        A final open book exam (50%)

Further information:
Students will need to bring their personal laptops to class; you will need to install R, R Studio, and Git on your Laptop. All software used during this course is free and open source. All educational ressources such as textbooks are also free and open source.


Tag Zeit Rhythmus Dauer Raum
Mi 12:00 - 14:00 14-tägig 23.03.2022 bis 22.06.2022
Gebäude Madrid - MAD 130
Do 10:00 - 12:00 Wöchentlich 17.03. - 23.06.2022 Gebäude Madrid - MAD 130


We are happy to supervise both Bachelor and Master theses on topics that align well with the research and teaching focus of our department. If you would like to write your thesis under our supervision, we kindly invite you to carefully read the following information first.

1) We expect that your thesis will have, as point of departure, an existing research paper (or book) from the relevant literature. The job of your thesis is to critically and independently evaluate, and extend, this paper, or its central thesis. The extension is given more weight in a Master thesis than in a Bachelor thesis. The selection of the underlying research paper or book is of crucial importance for the success of your thesis. In some cases your point of reference might also be something else, e.g. a policy document. Such choice should, however, be well justified.

2) To apply for a thesis, you have to contact us by March 1st for the spring semester or by September 1st for the fall semester. This is necessary for us to plan the supervision activities for the forthcoming semester and to assist you in an adequate way. Please write an email with your CV, your transcript of records, and your desired topic to the secretariat (Ms. Hübner). Please briefly justify the selection of the topic and your academic point of departure in the email and outline your work plan with the help of an exposé (between half a page and one page in length).

3) After the deadline has expired, you will receive an answer to your application within one week. We will make an appointment in which we will constructively discuss your exposé together and reach a mutual on the precise topic and problem statement of your thesis.

4) Writing your thesis under our supervision requires attending our Bachelor/Master Kolloquium. Registration runs separately via the examination office/Studiport. In the Kolloquium, you will receive fundamental input on how to write a thesis; we also use the Kolloquium for an academic exchange on the various theses projects currently supervised at our department.