Experimental Methods I - Agent Based Modelling ("Experimental Methods 1.01 alt")

Winter Term: tba Master Level (Advanced)

Summer Term: 040228 Master Level (Advanced)

This course is an alternative option for Experimental Methods I. 


Agent Based Modelling, and Computational Methods in general, can provide valuable insights into the functioning of organisations. In academic research, simulations have long been used as a complementary tool besides traditional empirical work and laboratory experiments to produce propositions for empirical validation, model real-world scenarios and generate artificial datasets.

This class is an introductory course to modelling techniques in the context of organizational studies and should serve as a basis for the corresponding follow-up course. Whereas this second class will be focused on actual implementation of simulations, the first course will lay out the foundations for this by focusing on understanding the main ingredients needed in computational modelling, developing ideas on how to get from a research question to an actual model (mainly on the basis of pseudocode) and providing an introduction to the programming language Python which will be used for implementation later on.

Students will learn when computational models can be used, how they can be usefully employed and what the main advantages and limitations of this method are. Furthermore, participants will be familiarized with existing work in this domain and will have to prepare presentations based on peer-reviewed publications in some of the highest ranked journals in the field.


Admission to the Master's program

2016 Curriculum: Successful completion of the Minor

Language: This course is held in English

Assignments and assessment:

10% - Homework Assignments
25% - In-class Participation
25% - Paper Presentation
40% - Final Exam


Please note that attendance during the first session is absolutely mandatory.
Missing the first session without prior written notice to the lecturer (at least 24 hours before the start of the session) providing a relevant reason/proof (e.g. doctor’s notice in case of illness) will result in deregistration from the course. In such cases the missing student’s place will be given to the person next in line on the waiting list (if this person is present in the first session).

In general, students are allowed to miss up to 10% (2.25 hours) of scheduled classes without any consequences. Exceeding this limit, however, will result in failing the class.