13833 - Analysis and Modelling of Human-Environment Systems Modulübersicht

Module Number: 13833
Module Title:Analysis and Modelling of Human-Environment Systems
  Analyse und Modellierung von Mensch-Umwelt-Systemen
Department: Faculty 2 - Environment and Natural Sciences
Responsible Staff Member:
  • Prof. Dr. Müller, Birgit
Language of Teaching / Examination:English
Duration:1 semester
Frequency of Offer: Every winter semester
Credits: 6
Learning Outcome:Upon completing the course, students will be able to:
  • Identify key features of coupled human-environment systems and apply this knowledge to interdisciplinary case studies.
  • Understand core principles of complex adaptive systems.
  • Design, implement, and analyse agent-based models to investigate human-environment interactions.
Contents:How do deforestation, urban expansion, or climate policies impact ecosystems and communities? Understanding these complex interactions is key to tackling today’s urgent environmental challenges. This course provides an introduction to modelling human-environment systems, emphasizing the intricate feedback loops between human activities and the biophysical world—across local, regional, and global scales.
The module has two main focus areas. First, students will explore the key characteristics of coupled socio-environmental systems.  We will read and discuss interdisciplinary research papers on applied case studies and theoretical considerations and examine how models can bridge science and real-world decision-making — whether in climate change adaptation, land-use planning, or resource management. Specific topics include to understand how human behaviour is represented in models, which role play social networks and how common pool resource management can support sustainable outcomes. Guest speakers will enrich the course with diverse perspectives and practical insights.
Second, students will acquire hands-on experience in agent-based modelling using the NetLogo programming environment designed for beginners. They will learn how to conceptualize, build, and analyse computer models to simulate interactions within socio-environmental systems. Additionally, an introduction to statistical data analysis in R will provide essential tools for model evaluation and interpretation.
Recommended Prerequisites:None
Mandatory Prerequisites:None
Forms of Teaching and Proportion:
  • Lecture / 2 Hours per Week per Semester
  • Seminar / 2 Hours per Week per Semester
  • Self organised studies / 120 Hours
Teaching Materials and Literature:
  • Marco Janssen (2020). Introduction to Agent-Based Modeling with applications to social, ecological and social-ecological systems. (ebook, 2n edition)
  • Further literature will be announced in the module.
Module Examination:Continuous Assessment (MCA)
Assessment Mode for Module Examination:
  • 6 Exercises / homework a ca. 3h (Model conceptualisation tasks, programming tasks in NetLogo and short research paper presentations) 50%,
  • Realisation of a modelling project, conceptualisation and presentation (10-15 min) of its results on a scientific poster, 50%
Evaluation of Module Examination:Performance Verification – graded
Limited Number of Participants:None
Part of the Study Programme:
  • Master (research-oriented) - Double Degree / Environmental and Resource Management / PO 2021
  • Master (research-oriented) / Environmental and Resource Management / PO 2021
 This module has been approved for the general studies.
Remarks:None
Module Components:
  • Lecture / Exercise
Components to be offered in the Current Semester:
  • no assignment