Systems Thinking

INF37806

About this course

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.

Learning outcomes

  • 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

Assessment method

  • Assignment report (70%)
  • Assignment oral presentation (30%)

Prior knowledge

Affinity with modeling and simulation

Resources

  • Literature: recent articles that introduce or discuss the methods used in the course.

Additional information

course
6 ECTS
  • Level
    bachelor
  • Mode of instruction
    on campus
If anything remains unclear, please check the FAQ of Wageningen University.

Starting dates

  • 9 Mar 2026

    ends 3 May 2026

    LanguageEnglish
    Term *P5
    Period 5 afternoon