Course types: L = Lecture, T = Tutorial, S = Seminar, AS = Advanced Seminar | SWS = "Semesterwochenstunden" = Contact hours
This Course Catalogue is not final and will continue to be updated in the lead-up to the new semester.
A/I & A/II Courses
- Type: A/I
- Dates:
- 08.06. (09:00 - 17:00)
- 09.06. (09:00 - 17:00)
- 26.06. (09:00 - 17:00)
- 29.06. (09:00 - 17:00)
- Description: The course serves to make students familiar with basic statistical methodologies and econometric methods that are applied nowadays throughout all research areas in business administration and economics. The course follows a “hands-on” principle throughout, i.e. all statistical methods will be illustrated and trained by practical applications using the statistical software package Stata.
- Important note: You will need to use Stata for your homework assignment. Therefore, each student needs to have access to a computer and a Stata license.
- Course page: LSF Quantitative Methods
- Type: A/I
- Dates:
- 07.04. (10:00 - 15:00)
- 08.04. (10:00 - 15:00)
- 09.04. (10:00 - 15:00)
- 10.04. (10:00 - 15:00)
- 08.07. (09:00 - 17:00)
- 09.07. (09:00 - 17:00)
- Description: This course is meant to serve as a rigorous introduction to experimental methods. Its focus is on the current state of the literature in experimental and behavioral economics and on the methodology of economic experiments. In a nutshell, the objectives of the course are to develop among participating students an interest in experimental and behavioral economic research; to acquaint them with some broad fields of research where experiments have been used extensively; and, finally, to equip them with the skills that are necessary in order to understand the relevant literature in depth and be able to conduct experiments on their own in the future. Besides experimental economics methods, the course also covers other experimental approaches from management, marketing and psychology.
- Course page: Syllabus (PDF, 202 KB)
- Type: A/I
- Dates:
- 10.06. (08:45 - 16:30)
- 11.06. (14:00 - 17:15)
- 12.06. (08:45 - 16:30)
- 15.06. (08:45 - 16:30)
- 16.06. (14:30 - 17:45)
- 17.06. (14:30 - 17:45)
- 18.06. (14:30 - 17:45)
- Description: This course provides an introduction to microeconomic theory with a focus on the underlying formal methods. The course covers unconstrained and constrained optimization, comparative statics, choice under risk and elements of game theory. It also explains the mathematical tools commonly used in microeconomics.
- Course page: LSF Microeconomic Modeling Methods
- Type: A/I
- Dates:
- 23.04. (09:00 - 13:00)
- 06.05. (09:00 - 14:00)
- 18.06. (09:00 - 14:00)
- 13.07. (09:00 - 14:00)
- Description: This course provides an introduction to the design and implementation of surveys as a research method. Students will learn how to collect primary data via surveys. This includes topics such as the search for suitable scales in the literature, own scale development, test theory and test quality criteria, questionnaire design and programming, sampling methods, sample acquisition, data protection, ethical issues, open science, and analysis options. Moreover, the course will cover the use of existing secondary survey data. As part of the course, students will develop their own questionnaire on a topic of their choice. We will also explore whether secondary data are available and how they can be used for students’ selected research topics. Grades will be based on discussion participation, questionnaire development, and a short presentation of an existing survey or panel that academics can use for their own research.
- Course page: LSF Survey Research Methods
- Type: A/I
- Dates:
- 21.04. (09:00 - 13:00)
- 22.04. (09:00 - 13:00)
- 28.04. (09:00 - 13:00)
- 29.04. (09:00 - 13:00)
- 02.06. individual appointments
- 16.06. (09:00 - 13:00)
- 17.06. (09:00 - 13:00)
- Description: This course provides an introduction to qualitative research in business and management, equipping MBR students with the conceptual understanding and methodological skills necessary to design and conduct qualitative studies. Students will explore the philosophical foundations of qualitative research, its suitability for different research questions, and key quality criteria. The course will cover ethnographic methods and qualitative interview studies, guiding students step by step through research design, sampling, data collection, qualitative data analysis (including software applications), and theorizing based on qualitative data. The integration of qualitative and quantitative methods will also be discussed.
- Course page: Qualitative Methods
- Type: A/I
- Dates:
- 20.04. (14:00 - 16:00)
- 22.06. (10:00 - 16:00)
- Description: The course Basic Readings in Management deals with an in-depth exploration of selected theories and streams of literature in management. Participants critically engage with selected readings, develop their own views on them, reflect key contents on their own research interests, and actively discuss these readings in the course sessions.
- Course page: LSF Basic Readings in Management
- Type: A/I
- Dates:
- 16.04. (10:00 - 12:00)
- 01.07. (10:00 - 17:00)
- 02.07. (10:00 - 17:00)
- Description: This course is meant to serve as an introduction to research in Accounting and Finance. The students will read a list of fundamental works in the field and discuss them in the group. The basic concepts of economic decision-making, incentives and agency conflicts will provide a basis for the discussion of more topic specific papers.
- Course page: Syllabus (PDF, 206 KB)
- Type: A/I
- Dates:
- 13.04. (14:00 - 15:00)
- 01.06. (09:00 - 17:00)
- Description: This course is meant to serve as an introduction to research in Information Systems and Digital Business. The students will read a list of fundamental works in the field and discuss them in the group. The papers cover a broad variety of theoretical and methodological approaches and substantive topics that will provide a sound basis for understanding and applying basic concepts in the field of information systems and digital business research.
- Course page: LSF
- Type: A/I
- Dates:
- 15.04. (09:00 - 14:00)
- 30.04. (09:00 - 15:00)
- 03.06. (09:00 - 15:00)
- 03.07. (09:00 - 15:00)
- Description: In this course, students are introduced to the "publication game". The course deals with thoughts about how to generate research ideas and how to plan a research project, how to position a paper and how to manage the R&R process. The pros and cons of different publication strategies are discussed. Students will also learn on which criteria editors and reviewers base their decisions about a submission. Thereby, the course helps to understand and to manage the publication process. Emerging, developments, trends, and issues in conducting and publishing accademic research will be discussed. This course is usually split into three sessions, ending with student presentations. Please check LSF for short-term announcements.
- Course page: Scientific Publications
- Type: A/II
- Dates:
- 15.04. (14:00 - 19:00)
- 20.04. (09:00 - 14:00)
- 27.04. (13:00 - 19:00)
- Description: The course provides an introduction to the core concepts and practices of open science alongside an overview of the developments that fostered the open science movement and its current directions. The course specifically focuses on open science practices that are useful in business research. These include preregistration and registered reports as well as the preparation of replication packages that contain open materials, open data, and open code. In addition, further practices such as preprints and open peer review are discussed.
In this course, students are familiarized with the objectives and concepts of open science, learn to navigate open science practices, and discuss how to apply them to their own research projects. - Remark: This course is mandatory for all new MBR students starting in Winter Semester 25/26. Remaining spots will be distributed to MBR students who started before Winter Semester 25/26 with their MBR and applied for the course. Further details can be found in the FAQ section.
- Course page: Open Science for Business Research
- Type: A/II
- Dates:
- Kick-off: 24.04. (10:00 - 12:00)
- Description: During the course of Presentations & Reports, students will deepen and broaden their understanding of academic topics of interest by attending relevant seminars, and gain greater knowledge of the academic process of peer review, including by writing a review themselves.
- Course page: Syllabus (PDF, 438 KB)
B/I Courses
| Course | Lecturer(s) | Dates | Type | SWS |
|---|---|---|---|---|
| Accounting & Finance | ||||
| Derivatives | Elsas-Nicolle | 21.04. (12:00-16:00), 23.04. (12:00-16:00), 29.04. (09:00-15:00), 06.05. (09:00-15:00), 12.05. (12:00-16:00), 13.05. (09:00-15:00), 20.05. (09:00-15:00) | L+T | 4 |
| International Taxation | Schanz & Rapp | 17.04., 24.04., 08.05, 15.05., 22.05., 29.05. (12:00-16:00) | L+T | 4 |
| Insurance Economics | Maier | 13.04. - 17.07. (Wednesdays, 14:00 - 16:00; Thursdays, 12:00-14:00) | L+T | 4 |
| Performance Measurement and Incentive Systems | Hofmann & Ho | 14.04. - 14.07. (Tuesdays, 10:00 - 12:00; Thursdays, 14:00-16:00) | L+T | 4 |
| Marketing & Strategy, Information System, Innovation and Leadership & Learning | ||||
| Data Crawling | Claussen | 20.07.- 23.07. (10:00 - 17:00) | S | 2 |
| Analyzing Markets (formerly Market Research) | Schwaiger | 13.04. - 13.07. (Mondays, 16:00 - 18:00 s.t.) | L+T | 4 |
| Conceptual Rigor | Fritze | 21.04. (15:00-20:00); 24.04. (10:00-15:00); 19.05. (10:00-14:00); 05.06. (10:00-13:00); 17.06. (individual slots); 10.07. (11:00-18:00) | S | 4 |
| Grand Challenges & Desirable Futures | Gümüşay | 23.06. (9:00-17:00), 07.07. (09:00-17:00) & individual appointments | S | 4 |
| Paper Development Workshop: Causal Inference Methods | Mühlemann | 05.05., 12.05., 18.05. (9:00 - 13:00) | S | 2 |
| Advanced Topics in Research on Digital Business | Hess | Three wednesdays in the semester, tbd (12:00 - 13:00) | S | 2 |
| Advanced Empirical Marketing Research | Granulo | Seven mondays between 20.04 and 29.06., tbd (12:00 - 16:00) | S | 4 |
B/II Courses
| Course | Lecturer(s) | Dates | Type | SWS |
|---|---|---|---|---|
| Prep-Course on Data Science with DataCamp (PDF, 110 KB) | Frieß | Kick-Off (via zoom): 14.04. (14:00 - 15:00) | S | 4 |