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Business research increasingly considers wicked problems and complex dynamic systems. Analytical models of such problems and systems quickly become untraceable and unsolvable. Given increasing computational power, simulation models provide an alternative tool. They can fuel studies tracing the long-term evolution of systems and comparing the outcomes of alternative scenarios. However, successfully applying simulation modelling for business research requires expertise on applicable simulation paradigms, approaches to model validation and the analysis of stochastic results. This course focuses particularly on understanding and applying paradigms of stochastic discrete-event and agent-based simulation but also covers the basics of system dynamics.
Prof. Dr. Catherine Cleophas, Christian-Albrechts-Universität zu Kiel
Course format This course focuses on providing both a theoretical background in simulation modelling as well as first expertise in applying these concepts using relevant software packages. Each day will consist of lectures VHB-ProDok Verband der Hochschullehrer für Betriebswirtschaft e. V. Syllabus 3/4 focusing on theoretical concepts followed by exercise sessions focusing on relevant problems. In a series of project sessions, participants will work alone or in teams to apply the knowledge gained to a project of their own choice. Accordingly, participants are encouraged to bring in their own application problems.
During project sessions, the participants can work on the respective projects in a self-organized fashion. Each project session offers the opportunity to discuss aspects and challenges of the project with the instructor.
Several sessions will be dedicated to first discussing the project topics (5 minutes per group), intermediate results (20 minutes),and finally the conclusion of the project (20 minutes).
The course is aimed at PhD-students from all disciplines of business and economics. By bringing together participants with different methodological backgrounds and problem domains, we will experience the whole spectrum of simulation modelling.
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REGISTRATION DEADLINE: FEBRUARY 5, 2023
To successfully pass this class, students must complete all assignments described in the syllabus.
The course corresponds to a scope of 6 LP/ECTS
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Registration Deadline: FEBRUARY 5, 2023