Course - Stochastic Population Models - ST2302
ST2302 - Stochastic Population Models
About
Examination arrangement
Examination arrangement: Oral examination
Grade: Letters
| Evaluation | Weighting | Duration | Grade deviation | Examination aids |
|---|---|---|---|---|
| Muntlig | 100/100 |
Course content
Modelling of natural populations as stochastic processes. Multiplicative models. Stochastic
growth rates. Environmental stochasticity. Demographic stochasticity. Density regulation.
Diffusion processes. Stationary distributions. Quasi-stationary distributions. Extinction processes. Age structured populations. Applications in ecology and population genetics with
emphasis on conservation of biodiversity.
Learning outcome
1. Knowledge. The student has learned basic population dynamics, including different applications of the concept of probability in population dynamics. The student can solve problems
related to modern research in ecology and conservation biology based on stochastic modelling. In particular the student knows how to perform viability analyses in populations with
no density regulation, including predictions by stochastic simulations when parameters are
unknown.
2. Skills. The student can read literature in population dynamics and communicate with
biologists on construction of stochastic models in this field. The student can also formulate
stochastic models by the diffusion approximation and perform simple analytical and some
more complex numerical computations by diffusion theory. The student can further perform
simple analyses using stochastic age structured population models.
Learning methods and activities
Lectures. An oral final examination is the basis for the grade awarded in the course. The
lectures may be given in English.
Recommended previous knowledge
ST1101 Probability and statistics.
Course materials
Will be announced at the start of the course.
Version: 1
Credits:
7.5 SP
Study level: Intermediate course, level II
Term no.: 1
Teaching semester: SPRING 2016
Language of instruction: English, Norwegian
-
- Statistics
Department with academic responsibility
Department of Mathematical Sciences
Examination
Examination arrangement: Oral examination
- Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
- Spring ORD Muntlig 100/100
-
Room Building Number of candidates - Summer KONT Muntlig 100/100
-
Room Building Number of candidates
- * The location (room) for a written examination is published 3 days before examination date. If more than one room is listed, you will find your room at Studentweb.
For more information regarding registration for examination and examination procedures, see "Innsida - Exams"