Over deze cursus
We deal with a plethora of complex problems, such as why inequality is increasing? Do racial teams have greater decision-making abilities?, How can we predict the outcomes of elections?, and many others. In order to confront such complexity, we need to use models. Whether you work with science, business, policymaking, or even art, you will confront complex problems in different forms and contexts. Thinking in systems will significantly help you comprehend and make the best use of data available for you to predict, understand, and develop the systems you are working with.
The course offers an introduction to modeling complex systems. It highlights different modeling approaches and several examples to study. Furthermore, the course introduces interactions systems as a key component of complex systems and explains how these can influence the emergent behaviors.
Leerresultaten
Model and analyze complex systems
Develop a background on different approaches for modeling complex systems (e.g. agent-based modelling and system dynamics)
Understand interaction models (e.g. social networks) and their role in complex systems
Identify complexity in own research problems
Toetsing
- Assignment report (70%)
- Assignment oral presentation (30%)
Voorkennis
Affinity with modeling and simulation
Bronnen
- Literature: recent articles that introduce or discuss the methods used in the course.
Aanvullende informatie
- Neem contact op met een coordinator
- Niveaubachelor
- Instructievormop de campus