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:
- 03.07. (10:00 - 17:00)
- 04.07. (10:00 - 17:00)
- 07.07. (10:00 - 17:00)
- 08.07. (10:00 - 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: This course can only be attended by doctoral students (MBR programme). 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:
- 13.05. (09:00-13:00)
- 14.05. (09:00-13:00)
- 20.05. (09:00-13:00)
- 21.05. (09:00-13:00)
- 15.07. (09:00-13:00)
- 16.07. (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.
- Syllabus: Syllabus Qualitative Methods (PDF, 204 KB)
- 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)
- 10.07. (10:00 - 17:00)
- 17.07. (10:00 - 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.
- Syllabus: Syllabus Experimental Methods (PDF, 200 KB)
- Type: A/I
- Dates:
- 10.06. (8:30-16:30)
- 11.06. (8:30-12:00)
- 12.06. (8:30-16:30)
- 13.06. (8:30-12:00)
- 16.06. (8:30-12:00)
- 17.06. (8:30-16:30)
- 18.06. (8:30-12:00)
- 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 Methods
- Type: A/I
- Dates:
- 28.04. (14:00 - 16:00)
- 01.07. (08:00 - 18:00)
- 02.07. (08:00 - 18:00)
- 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:
- 23.04. (13:00 - 15:00)
- 18.06. (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.
- Syllabus: Syllabus Basic Readings in Accounting and Finance (PDF, 205 KB)
- Type: A/I
- Dates:
- 05.05. (15:00 - 16:30)
- 26.06. (13:00 - 17:00)
- 27.06. (10:00 - 15:00)
- 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: Basic Readings in Information Systems and Digital Business
- Type: A/I
- Dates:
- 25.04. (10:00 - 15:00)
- 02.05. (10:00 - 15:00)
- 09.05. (10:00 - 15:00)
- 11.07. (10:00 - 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 Pages: LSF Scientific Publications
- Type: A/II
- 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.
- Dates:
- Kick-Off: 28.04. (16:15-18:15)
- Course page: LSF Presentations & Reports
B/I Courses
| Course | Lecturer(s) | Dates | Type | SWS |
|---|---|---|---|---|
| Accounting & Finance | ||||
| Derivatives | Elsas | 21.05. Q&A (16:00-17:00), 27.05. (14:00-20:00), 28.05. Q&A (16:00-17:00), 03.06. (14:00-20:00), 04.06. Q&A (16:00-17:00), 11.06. Q&A (16:00-17:00), 17.06. (14:00-20:00) | L+T | 4 |
| Investment Banking | Elsas | 28.04. (10:00-14:00), 07.05. (10:00-14:00), 02.06. (10:00-16:00) | S | 4 |
| International Taxation | Euler & Rapp | 25.04., 02.05., 09.05., 16.05., 23.05., 30.05. (12:00-16:00) | L+T | 4 |
| Performance Measurement & Incentive Systems | Hofmann | 23.04. - 25.07. (Tuesdays, 10:00 - 12:00) | S | 4 |
| Insurance Economics | Maier | 23.04. - 25.07. (Wednesdays, 14:00 - 16:00; Thursdays, 12:00-14:00) | L+T | 4 |
| Marketing & Strategy, Information System, Innovation and Leadership & Learning | ||||
| Current Topics in Platform Research | Kretschmer & Frieß | 28.04., 29.04., 06.05., 13.05., 19.05., 20.05. (09:00-12:00 c.t.) | 4 | |
| Analyzing Markets (formerly Market Research) | Schwaiger | Kick-off: 28.04. (16:00-17:45) | L+T | 4 |
| Building Theory with Data: Experimental Approaches in Behavioral Science | Fritze | 24.04. (10:00-15:00), 25.04. (10:00-15:00), 20.05. (10:00-14:00), 03.06. (10:00-13:00), 18.07. (11:00-18:00) | S | 4 |
| Grand Challenges & Desirable Futures | Gümüşay | 24.04. (9:00-17:00), 26.06. (09:00-17:00), 17.07. (09:00-12:00) | S | 4 |
| Managing Digital Media | Wurm | 23.04. - 25.07. (08:30 - 10:00, Wednesdays) | L+T | 4 |
| Advanced Topics in Research on Digital Business | Hess | 21.05. (12:00-13:00), 25.06. (12:00-13:00), 23.07. (12:00-13:00) | S | 2 |
B/II Courses
| Course | Lecturer(s) | Dates | Type | SWS |
|---|---|---|---|---|
| Prep-Course on Data Science with DataCamp (PDF, 101 KB) | Fa & Nicolle | Kick-Off: 23.04. (16:00 - 17:00) | S | 4 |