Ecological Modelling

Course content

The course teaches basic knowledge of ecological modelling, with a focus on processes in ecosystems and their interaction with the environment. It addresses how numerical models are constructed, how these models can be used (together with experiments and observations) to understand the dynamics of ecosystems, and how these models can be applied to address interactions within ecosystems and between ecosystems and their environment.

The focus is on understanding and representing ecosystem processes, and on the design, implementation (programming) and assessment of numerical models to describe these. The course has a strong emphasis on hands-on experience in designing and programming models, with computer exercises as the main method to practice this.


MSc Programme in Environmental Science
MSc Programme in Geography and Geoinformatics
MSc Programme in Geography and Geoinformatics with a minor subject


Learning outcome


  • Modelling of biogeochemical processes in soil and vegetation, and the influence of environmental drivers on these
  • Modelling of population dynamics (exponential growth, logistic growth, and agent-based models)
  • Modelling of diffusion and heat transfer in layered systems



  • Description of systems with relational diagrams
  • Numerical integration (understanding of Euler forward integration)



  • Ability to describe ecosystems and their processes in qualitative and quantitative ways
  • Understanding of the linkage between hypotheses, ecological theory and models, and between models and experiments/observations.
  • Ability to design a model with state variables and their rates of change, and define systems and system boundaries
  • Understanding of the numerical integration of models
  • Critical assessment of the outcome of models, their sources of uncertainty, and the limitations of model design


The form of teaching is exercises combined with ad hoc lectures. For the teaching plan, please see Absalon.

Please see Absalon course page

BSc in Geography and Geoinformatics or equivalent is recommended.

Continuous feedback during the course of the semester
Feedback by final exam (In addition to the grade)

Oral feedback will be provided on the student's exercises to improve the understanding and implementation of modelling principles in model code.

Feedback will be provided on the final written assignment in the exam.

7,5 ECTS
Type of assessment
Written assignment, during course
Oral examination, 20 minutes, no preparation time
Type of assessment details
The written assignment is prepared during the course and must be handed in prior to the exam week. The oral exam uses the written assignment as its point of departure. It includes the titles listed in the officially approved reading list.
All aids allowed

It is allowed to use Large Language Models (LLM)/Large Multimodal Models (LMM) – e.g . ChatGPT and GPT-4 for the Python programmering

Marking scale
7-point grading scale
Censorship form
No external censorship
Several internal examiners.

Same as the ordinary exam.

The written assignment must be handed in prior to the re-examination week. The oral exam uses the written assignment as its point of departure. It includes the titles listed in the officially approved reading list.

Criteria for exam assessment

Please see learning outcomes.

Single subject courses (day)

  • Category
  • Hours
  • Preparation
  • 171
  • Exercises
  • 35
  • English
  • 206


Course number
7,5 ECTS
Programme level
Full Degree Master

1 block

Block 4
The number of seats may be reduced in the late registration period
Study Board of Geosciences and Management
Contracting department
  • Department of Geoscience and Natural Resource Management
Contracting faculty
  • Faculty of Science
Course Coordinator
  • Guy Schurgers   (4-69777565426b6970306d7730666d)

Guy Schurgers, Martin Rudbeck Jepsen

Saved on the 07-11-2023

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