Course Catalogue - Winter Semester 2023/24

Courses for the Winter Term of 2023/24.

Course types: L = Lecture, T = Tutorial, S = Seminar, AS = Advanced Seminar | SWS = "Semesterwochenstunden" = Contact hours

A/I & A/II Courses

  • 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: 18.10. (15 - 17)
  • Course Pages: LSF

  • Type: A/I
  • Description: The course serves to make students familiar with basic statistical methodologies and econometric methods that are nowadays applied throughout all research areas in business administration and economics. It follows a “hands-on” principle throughout, i.e. all statistical methods will be illustrated and trained by practical applications using econometric packages, primarily MATLAB.
  • Dates:
    • 22.01.24 (10 - 18)
    • 30.01.24 (10 - 18)
    • 07.02.24 (10 - 18)
  • Course Pages: LSF

  • Type: A/I
  • Dates:
    • 23.10. (14 - 16)
    • 16.01.24 (13 - 18)
    • 17.01.24 (13 - 18)
  • Description: The course Basic Readings in Management deals with an in-depth examination of different approaches in social and economic sciences. Participants work on individual theoretical approaches that are being discussed throughout the course.
  • Course Pages: Institute

  • Type: A/I
  • Dates:
    • 09.10. (10 - 15)
    • 10.10. (10 - 15)
    • 12.10. (10 - 15)
    • 13.10. (10 - 15)
    • 18.01.24 (9 - 17)
    • 19.01.24 (9 - 17)
  • 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 Pages: LSF, Syllabus see below

  • Type: A/I
  • Dates:
    • 28.03.24 (9 - 17)
    • 11.04.24 (9 - 17) - Session cancelled (replacement date TBD)
    • 25.04.24 (9 - 17) - Room: B006, Kaulbachstr. 45
  • Room: See Dates
  • Description: The main goal of this course is to familiarize students with simulation modeling as a research method. Some of the most influential papers in strategy and organizationresearch (e.g. March 1991, Levinthal 1997) are (simulation) modeling papers.
    Theoretically, this course builds on the Micro-OT PhD course: most modeling papers are theoretically grounded in the behavioral theory of the firm (Cyert and March 1963) and focus on questions of search and learning. You will learn how to implement your own first simulation model and run experiments with it.
  • Course Pages: Syllabus see below

  • Type: A/I
  • Dates:
    • 24.10. (15 - 17)
    • 18.12. (14 - 18)
    • 05.02. (13 - 18)
  • Description: See institute site
  • Course Pages: LSF

  • Type: A/I
  • Dates:
    • 07.12. (10 - 13, 14 - 17)
    • 08.12. (10 - 13)
  • Room (if available): Kaulbachstr. 45/II, Room 202 (ISTO Seminar Room)
  • 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. Therefore, the course helps students to understand and to manage the publication process. Emerging developments, trends, and issues in conducting and publishing academic research will be discussed.
  • Course Pages: Syllabus available below

B/I Courses

For information on registrations and tutorial dates and times, please consult the linked sites or the LSF! Available syllabi may be found at the end of this page.
CourseLecturer(s)DatesTypeSWS
Accounting & Finance
Accounting TheorySchwaiger, Ho17.10.2023 - 06.02.2024 (10 - 12)S2
Empirical Research in Tax AccountingBauer, Huber08.11., 10.11. (9 - 18)
20.12. (8 - 18)
S4
Current Trends in Digitalization & Taxation (prev. "Big Data & Taxes")Schanz, Eismayr, Sixt, Wanke15.09., 20.10., 10.11. (9 - 17)S4
Empirical Research in Accounting, Auditing & AnalysisSellhorn30.10., 13.11., 27.11., 04.12., 11.12., 18.12. (14-18 c.t.), 15.01. (9-18)S4
Advanced Behavioral FinanceGlaserFeb./March 2024S4
Advanced Digital FinanceRiordan26.02.24 - 03.03.24S4
Behavioral Decision MakingMaier17.10. - 12.12. (12 - 16 ct.)
30.01.24 (12 - 16 ct.)
06.02.24 (12 - 16 ct.)
S4
Marketing & Strategy, Information System, Innovation and Leadership & Learning
Research Methods in Information SystemsHess, Wurm09.10., 10.10., 11.10. (9 - 16:30)S2
Electronic MarketsSpann, Pfaff, Gallitz, Pflanzer16.10. onwards (Lectures: Mo. 12 - 14 c.t., Tutorials: Wed./Thu. 14 - 16 c.t.)L+T4
AI for ManagersFeuerriegelsee MoodleL4
Advanced AI in Businesses and OrganizationsFeuerriegelsee MoodleL4
Marketing Measurement & ModelingSarstedt, AdlerLecture: 02.11., 09.11., 16.11., 23.11. 30.11. 07.12. (09 - 12);
Exercises: Tuesdays (14 - 16)
S4
Alternative Formats of PublicationsGümüşay27.11, 11.12. (9 - 17)S4
Empirics of OrganizationsNicolle, Wu19.10., 26.10., 16.11. (9 - 12)S4
Frontiers in Strategy ResearchKretschmer, Tuschke, RusakovKick-off: 24.10. (14 - 16)
Presentations: 10.01.24 (9 - 17)
S4
Competitive StrategyClaussen, RusakovLecture: 18.10. - 13.12. (8 - 12)
Tutorial: 20.10. - 15.12. (8 - 12)
L + T4
How to Prompt AI for MarketingFrieß, Siegner16.10. - 18.12. (see LSF for details)S4

B/II Courses

CourseLecturer(s)DatesTypeSWS
Prep-course on data science with DataCampWuTBDS4
Automated Textual Analyses
@ Room 202 (Kaulbachstr. 45)
Schütt18.12. - 20.12. (08:45 - 16:45)S2
Social innovation: theoretical lenses and qualitative methodsFayard30.10., 31.10. (9 - 17)S4