ECOS1081 Evolutionary ecology modelling (5 cr)
Department of Biological and Environmental Science
2020-2021, 2021-2022, 2022-2023, 2023-2024
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.
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.
Course is organised every second year (spring 2021)
Assessment based on learning diaries and reports about computer exercises.
Select all marked parts
Parts of the completion methods
Teaching (5 cr)
Participation in teaching
Lectures and computer practice.