ECOS1081 Evolutionary ecology modelling (5 cr)
Study level:
Advanced studies
Grading scale:
0-5
Language:
English
Responsible organisation:
Department of Biological and Environmental Science
Curriculum periods:
2024-2025, 2025-2026, 2026-2027, 2027-2028
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Evolutionary Ecology modelling
Description
How can theoretical models help us to understand evolution? We study this question with a variety of methods (population genetics, quantitative genetics, optimization, game theory, adaptive dynamics, individual-based simulations, dynamic optimization), implemented as computer simulations in Matlab.
Learning outcomes
After completing the course, the participants
- understand the usefulness, limitations, and philosophical basis of formal modelling in evolutionary ecology
- know modelling approaches such as population genetics, quantitative genetics, optimization, game theory, adaptive dynamics, individual-based simulations, and dynamic optimization
- can write simple models in Matlab.
Completion methods
Method 1
Description:
Course is organised every second year (spring 2025, 2027)
Evaluation criteria:
Assessment based on learning diaries and reports about computer exercises.
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Parts of the completion methods
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Teaching (5 cr)
Type:
Participation in teaching
Grading scale:
0-5
Language:
English