Current information on teaching

Semester overview

Vorlesung Forschungsmethoden der Betriebswirtschaftslehre (530901)

Appointment

Di 11:30 - 13:00, A/B week, 06.10.2026 to 26.01.2027, Lehrgebäude 1A / 219

Study paths

  • Betriebswirtschaftslehre Master (1. - 2. )
  • Wirtschaftsingenieurwesen Master (1. ) / Examination regulations 2019

Course content

Please refer to the module description for course content.

Literature

 

  • Auer, B., & Rottmann, H. (2020). Statistik und Ökonometrie für Wirtschaftswissenschaftler. Springer Fachmedien Wiesbaden.
  • Aguinis, H. (2024). Research Methodology: Best Practices for Rigorous, Credible, and Impactful Research. SAGE Publications, Inc.
  • Hair, J., Black, W., Babin, B., Anderson, R. (2018). Multivariate Data Analysis. Cengage Learning EMEA.

Contact

Prof. Dr. Diemo Urbig

Hours per week

2.0

Module

Forschungsmethoden der Betriebswirtschaftslehre (38427)

530901 in HIS

Übung Forschungsmethoden der Betriebswirtschaftslehre (530902)

Appointment

Mo 09:15 - 10:45, A/B week, 12.10.2026 to 25.01.2027, Lehrgebäude 1A / 219

Study paths

  • Betriebswirtschaftslehre Master (1. - 2. )
  • Wirtschaftsingenieurwesen Master (1. ) / Examination regulations 2019

Course content

Please refer to the module description for course content.

Literature

 

  • Auer, B., & Rottmann, H. (2020). Statistik und Ökonometrie für Wirtschaftswissenschaftler. Springer Fachmedien Wiesbaden.
  • Aguinis, H. (2024). Research Methodology: Best Practices for Rigorous, Credible, and Impactful Research. SAGE Publications, Inc.
  • Hair, J., Black, W., Babin, B., Anderson, R. (2018). Multivariate Data Analysis. Cengage Learning EMEA.

Contact

  • Andreas Salmen
  • Prof. Dr. Diemo Urbig

Hours per week

2.0

Module

Forschungsmethoden der Betriebswirtschaftslehre (38427)

530902 in HIS

Prüfung Forschungsmethoden der Betriebswirtschaftslehre (530903)

Appointment

Di 14:00 - 16:00, Einzel, at 09.03.2027, Zentrales Hörsaalgebäude / Audimax 1

Study paths

  • Betriebswirtschaftslehre Master (1. - 2. )
  • Wirtschaftsingenieurwesen Master (1. ) / Examination regulations 2019

Course content

Please refer to the module description for course content.

Contact

Prof. Dr. Diemo Urbig

Module

Forschungsmethoden der Betriebswirtschaftslehre (38427)

530903 in HIS

Seminar Simulation Game: Crowd Innovation (530904)

Appointments

  • Fr 09:00 - 15:00, Einzel, at 06.11.2026, Lehrgebäude 3A / 338
  • Fr 09:00 - 15:00, Einzel, at 04.12.2026, Lehrgebäude 3A / 338
  • Fr 09:00 - 11:00, Einzel, at 18.12.2026,

    Online.

  • Fr 09:00 - 15:00, Einzel, at 22.01.2027, Lehrgebäude 3A / 338

Course content

Please refer to the module description for course content.

Hours per week

2.0

Module

Simulation Game: Crowd Innovation (15022)

530904 in HIS

Prüfung Statistik, Ökonometrie, Optimierung (Wiederholungsprüfung) (530907)

Appointment

Mo 11:00 - 13:00, Einzel, at 15.02.2027, Großer Hörsaal / 0.06

Study paths

  • Wirtschaftsingenieurwesen Master (1. - 4. )
  • Betriebswirtschaftslehre Master (1. - 4. )
  • Wirtschaftsingenieurwesen Bachelor (6. )

Course content

Please refer to the module description for course content.

Contact

Prof. Dr. Diemo Urbig

Module

Statistik, Ökonometrie, Optimierung (11977)

530907 in HIS

Vorlesung Einführung in die ökonometrische Datenanalyse (530910)

Appointment

Mo 11:30 - 13:00, A/B week, 05.10.2026 to 25.01.2027, Lehrgebäude 1A / 125

Study paths

  • Betriebswirtschaftslehre Bachelor (5. ) / Examination regulations 2024
  • Betriebswirtschaftslehre Bachelor (5. ) / PO 2017
  • Angewandte Mathematik Master (1. - 4. )
  • Wirtschaftsingenieurwesen Bachelor (5. - 6. ) / Examination regulations 2019
  • Energietechnik und Energiewirtschaft EOK (5. ) / Examination regulations 2021
  • Mathematik (5. - 6. ) / Examination regulations 2023
  • Wirtschaftsmathematik (5. - 6. ) / Examination regulations 2023
  • Wirtschaftsingenieurwesen (5. - 6. ) / Examination regulations 2023

Course content

Please refer to the module description for course content.

Contact

Prof. Dr. Diemo Urbig

Hours per week

2.0

Module

Einführung in die ökonometrische Datenanalyse (13268)

530910 in HIS

Übung Einführung in die ökonometrische Datenanalyse (530911)

Appointments

  • Di 13:45 - 15:15, A/B week, 06.10.2026 to 26.01.2027
  • Di 13:45 - 15:15, A/B week, 06.10.2026 to 26.01.2027, Zwischenbau VI / ZB VI.04

Study paths

  • Betriebswirtschaftslehre Bachelor (5. ) / Examination regulations 2024
  • Betriebswirtschaftslehre Bachelor (5. ) / PO 2017
  • Angewandte Mathematik Master (1. - 4. )
  • Wirtschaftsingenieurwesen Bachelor (5. - 6. ) / Examination regulations 2019
  • Energietechnik und Energiewirtschaft EOK (5. ) / Examination regulations 2021
  • Mathematik (5. - 6. ) / Examination regulations 2023
  • Wirtschaftsmathematik (5. - 6. ) / Examination regulations 2023
  • Wirtschaftsingenieurwesen (5. - 6. ) / Examination regulations 2023

Course content

Please refer to the module description for course content.

Contact

  • Julia Kirst
  • Prof. Dr. Diemo Urbig

Hours per week

2.0

Module

Einführung in die ökonometrische Datenanalyse (13268)

530911 in HIS

Seminar Seminar Empirische Wirtschaftsforschung (530912)

Appointment

Di 17:30 - 19:00, A/B week, 06.10.2026 to 26.01.2027, Zentrales Hörsaalgebäude / SR 4

Study paths

  • Betriebswirtschaftslehre Bachelor (4. - 6. )
  • Wirtschaftsingenieurwesen Bachelor (4. - 6. ) / Examination regulations 2019

Course content

Please refer to the module description for course content.

Contact

Prof. Dr. Diemo Urbig

Hours per week

2.0

Modules

  • Seminar Empirische Wirtschaftsforschung (13947)
  • Oberseminar Empirische Wirtschaftsforschung (13909)
530912 in HIS

Prüfung Angewandte Mathematik und Ökonometrie (Wiederholungsprüfung) (530921)

Appointment

Di 11:00 - 12:30, Einzel, at 16.03.2027

Course content

Please refer to the module description for course content.

Contact

Prof. Dr. Diemo Urbig

Module

Angewandte Mathematik und Ökonometrie (11962)

530921 in HIS

Prüfung Einführung in die ökonometrische Datenanalyse (530956)

Appointment

Di 11:00 - 12:30, Einzel, at 16.03.2027, Zentrales Hörsaalgebäude / Audimax 1

Study paths

  • Betriebswirtschaftslehre Bachelor (5. - 6. )
  • Angewandte Mathematik Master (1. - 3. )
  • Mathematik (5. - 6. ) / Examination regulations 2023
  • Wirtschaftsmathematik (5. - 6. ) / Examination regulations 2023
  • Wirtschaftsingenieurwesen Bachelor (5. - 6. ) / Examination regulations 2019
  • Wirtschaftsingenieurwesen (5. - 6. ) / Examination regulations 2023

Course content

Please refer to the module description for course content.

Contact

Prof. Dr. Diemo Urbig

Module

Einführung in die ökonometrische Datenanalyse (13268)

530956 in HIS

Vorlesung Psychology of Entrepreneurship and Change (530960)

Appointment

Mi 11:30 - 13:00, A/B week, 07.10.2026 to 27.01.2027, Laborgebäude 4B / B320

Study paths

  • Betriebswirtschaftslehre Bachelor / PO 2017
  • Environmental and Resource Management Bachelor (3. ) / Examination regulations 2015
  • Umweltingenieurwesen Master / Examination regulations 2021

Course content

Please refer to the module description for course content.

Literature

  • Antons, D., & Piller, F. T. (2015). Opening the black box of "Not Invented Here": Attitudes, decision biases, and behavioral consequences. Academy of Management Perspectives29(2), 193-217.
  • Bernardo, A. E., & Welch, I. (2001). On the evolution of overconfidence and entrepreneurs. Journal of Economics & Management Strategy10(3), 301-330.
  • Bönte, W., Urbig. D. (2019) Connecting People and Knowledge: Knowledge Spillovers, Cognitive Biases, and Entrepreneurship (Chapter 34). In: E. E. Lehmann, M. Keilbach (eds.), From Industrial Organization to Entrepreneurship. Springer, pp. 385-397.
  • Ellsberg, D. (1961). Risk, ambiguity, and the savage axioms. The Quarterly Journal of Economics, 75(4), 643-669.
  • Fehr, E., & Schmidt, K. M. (1999). A theory of fairness, competition, and cooperation. The Quarterly Journal of Economics, 114(3), 817-868. 
  • Fox, C. R., & Tversky, A. (1995). Ambiguity aversion and comparative ignorance. The Quarterly Journal of Economics, 110(3), 585-603.
  • Frederick, S., Loewenstein, G., & O'donoghue, T. (2002). Time discounting and time preference: A critical review. Journal of Economic Literature, 40(2), 351-401.
  • Kahneman, D., Tversky, A. (1979). Prospect theory: An analysis of decisions under risk. Econometrica, 47, 278.
  • Loewenstein, G. F., Weber, E. U., Hsee, C. K., & Welch, N. (2001). Risk as feelings. Psychological Bulletin,127(2), 267–286.
  • Ostrom, E. (2000). Collective action and the evolution of social norms. Journal of Economic Perspectives, 14(3), 137-158.
  • Read, D., Loewenstein, G., Rabin, M., Keren, G., & Laibson, D. (2000). Choice bracketing. In S. Barbera, P. Hammond, & C. Seidl (Eds.), Elicitation of Preferences (pp. 171–202). Springer.
  • Samuelson, W., & Zeckhauser, R. (1988). Status quo bias in decision making. Journal of Risk and Uncertainty1(1), 7-59.
  • Simon, H. A. (1955). A behavioural model of rational choice. The Quarterly Journal of Economics69(1), 99-118.
  • Staw, B. M. (1981). The escalation of commitment to a course of action. Academy of Management Review6(4), 577-587.
  • Thaler, R. (1985). Mental accounting and consumer choice. Marketing Science, 4(3), 199-214.
  • Trigeorgis, L., & Reuer, J. J. (2017). Real options theory in strategic management. Strategic Management Journal, 38(1), 42-63:
  • Tversky, A., & Kahneman, D. (1973). Availability: A heuristic for judging frequency and probability. Cognitive Psychology, 5(2), 207-232.
  • Tversky, A., & Kahneman, D. (1991). Loss aversion in riskless choice: A reference-dependent model. The Quarterly Journal of Economics106(4), 1039-1061.
  • Tversky, A., & Kahneman, D. (1992). Advances in prospect theory: Cumulative representation of uncertainty. Journal of Risk and Uncertainty, 5(4), 297-323.

Contact

Prof. Dr. Diemo Urbig

Hours per week

2.0

Module

Psychology of Entrepreneurship and Change (14288)

530960 in HIS

Seminar Psychology of Entrepreneurship and Change (530961)

Appointment

Mo 13:45 - 15:15, A/B week, 05.10.2026 to 25.01.2027, Lehrgebäude 1A / 219

Study paths

  • Umweltingenieurwesen Master / Examination regulations 2021
  • Betriebswirtschaftslehre Bachelor (5. - 6. ) / PO 2017
  • Environmental and Resource Management Bachelor (3. ) / Examination regulations 2015

Course content

Please refer to the module description for course content.

Literature

  • Antons, D., & Piller, F. T. (2015). Opening the black box of "Not Invented Here": Attitudes, decision biases, and behavioral consequences. Academy of Management Perspectives29(2), 193-217.
  • Bernardo, A. E., & Welch, I. (2001). On the evolution of overconfidence and entrepreneurs. Journal of Economics & Management Strategy10(3), 301-330.
  • Bönte, W., Urbig. D. (2019) Connecting People and Knowledge: Knowledge Spillovers, Cognitive Biases, and Entrepreneurship (Chapter 34). In: E. E. Lehmann, M. Keilbach (eds.), From Industrial Organization to Entrepreneurship. Springer, pp. 385-397.
  • Ellsberg, D. (1961). Risk, ambiguity, and the savage axioms. The Quarterly Journal of Economics, 75(4), 643-669.
  • Fehr, E., & Schmidt, K. M. (1999). A theory of fairness, competition, and cooperation. The Quarterly Journal of Economics, 114(3), 817-868. 
  • Fox, C. R., & Tversky, A. (1995). Ambiguity aversion and comparative ignorance. The Quarterly Journal of Economics, 110(3), 585-603.
  • Frederick, S., Loewenstein, G., & O'donoghue, T. (2002). Time discounting and time preference: A critical review. Journal of Economic Literature, 40(2), 351-401.
  • Kahneman, D., Tversky, A. (1979). Prospect theory: An analysis of decisions under risk. Econometrica, 47, 278.
  • Loewenstein, G. F., Weber, E. U., Hsee, C. K., & Welch, N. (2001). Risk as feelings. Psychological Bulletin,127(2), 267–286.
  • Ostrom, E. (2000). Collective action and the evolution of social norms. Journal of Economic Perspectives, 14(3), 137-158.
  • Read, D., Loewenstein, G., Rabin, M., Keren, G., & Laibson, D. (2000). Choice bracketing. In S. Barbera, P. Hammond, & C. Seidl (Eds.), Elicitation of Preferences (pp. 171–202). Springer.
  • Samuelson, W., & Zeckhauser, R. (1988). Status quo bias in decision making. Journal of Risk and Uncertainty1(1), 7-59.
  • Simon, H. A. (1955). A behavioural model of rational choice. The Quarterly Journal of Economics69(1), 99-118.
  • Staw, B. M. (1981). The escalation of commitment to a course of action. Academy of Management Review6(4), 577-587.
  • Thaler, R. (1985). Mental accounting and consumer choice. Marketing Science, 4(3), 199-214.
  • Trigeorgis, L., & Reuer, J. J. (2017). Real options theory in strategic management. Strategic Management Journal, 38(1), 42-63:
  • Tversky, A., & Kahneman, D. (1973). Availability: A heuristic for judging frequency and probability. Cognitive Psychology, 5(2), 207-232.
  • Tversky, A., & Kahneman, D. (1991). Loss aversion in riskless choice: A reference-dependent model. The Quarterly Journal of Economics106(4), 1039-1061.
  • Tversky, A., & Kahneman, D. (1992). Advances in prospect theory: Cumulative representation of uncertainty. Journal of Risk and Uncertainty, 5(4), 297-323.

Contact

  • Julia Kirst
  • Prof. Dr. Diemo Urbig

Hours per week

2.0

Module

Psychology of Entrepreneurship and Change (14288)

530961 in HIS

Vorlesung AI-Assisted Statistics (530963)

Appointment

Di 09:15 - 10:45, A/B week, 06.10.2026 to 26.01.2027, Lehrgebäude 1A / 125

Study paths

  • Artificial Intelligence Master (2. - 4. ) / Examination regulations 2022
  • Betriebswirtschaftslehre Master (1. - 3. )
  • Energietechnik und Energiewirtschaft EET (6. ) / Examination regulations 2021
  • Energietechnik und Energiewirtschaft EOK (6. ) / Examination regulations 2021
  • Energietechnik und Energiewirtschaft TE (6. ) / Examination regulations 2021
  • Wirtschaftsingenieurwesen Bachelor / Examination regulations 2019
  • Wirtschaftsinformatik Bachelor (4. - 6. ) / Examination regulations 2024

Course content

Please refer to the module description for course content.

Hours per week

2.0

Module

AI-Assisted Statistics: Exploring Data with ChatGPT & Co (14493)

530963 in HIS

Vorlesung AI-Assisted Statistics (530964)

Appointment

Di 15:30 - 17:00, A/B week, 06.10.2026 to 26.01.2027, Lehrgebäude 1A / 219

Study paths

  • Energietechnik und Energiewirtschaft EET (6. ) / Examination regulations 2021
  • Energietechnik und Energiewirtschaft EOK (6. ) / Examination regulations 2021
  • Energietechnik und Energiewirtschaft TE (6. ) / Examination regulations 2021
  • Wirtschaftsingenieurwesen Bachelor / Examination regulations 2019
  • Artificial Intelligence Master (2. - 4. ) / Examination regulations 2022
  • Betriebswirtschaftslehre Master (1. - 4. )
  • Wirtschaftsinformatik Bachelor (4. - 6. ) / Examination regulations 2024

Course content

Please refer to the module description for course content.

Hours per week

2.0

Module

AI-Assisted Statistics: Exploring Data with ChatGPT & Co (14493)

530964 in HIS