ECOS1083 Population ecology modelling (5 cr)
Study level:
Advanced studies
Grading scale:
0-5
Language:
English
Responsible organisation:
Department of Biological and Environmental Science
Curriculum periods:
2017-2018, 2018-2019, 2019-2020
Description
Content
Introduction to population ecology modelling and analysis.
Completion methods
Lectures and computer practice.
Learning outcomes
After completing the course, the students:
- understands how growth and viability of populations depend on factors such as stochasticity, density-dependence, age- and stage structure
- can write computer simulations in Matlab to study these effects.
- knows the assumptions and limitations of such models, and be able to interpret them in a context of management and conservation
- understands how growth and viability of populations depend on factors such as stochasticity, density-dependence, age- and stage structure
- can write computer simulations in Matlab to study these effects.
- knows the assumptions and limitations of such models, and be able to interpret them in a context of management and conservation
Completion methods
Method 1
Select all marked parts
Parts of the completion methods
x
Teaching (5 cr)
Type:
Participation in teaching
Grading scale:
0-5
Language:
English