course-details-portlet

ST2302 - Stochastic Population Models

About

Examination arrangement

Examination arrangement: Oral examination
Grade: Letters

Evaluation form Weighting Duration Examination aids Grade deviation
Oral examination 100/100 C

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. If the course is taught in English, the exam may be given only in English. Students are free to choose Norwegian or English for written assessments.

Further on evaluation

In the case that the student receives an F/Fail as a final grade after both ordinary and re-sit exam, then the student must retake the course in its entirety. Submitted work that counts towards the final grade will also have to be retaken. For more information about grading and evaluation, see «Teaching methods and activities».

Course materials

Will be announced at the start of the course.

More on the course
Facts

Version: 1
Credits:  7.5 SP
Study level: Intermediate course, level II

Coursework

Term no.: 1
Teaching semester:  SPRING 2021

No.of lecture hours: 4
Lab hours: 2
No.of specialization hours: 6

Language of instruction: English, Norwegian

Location: Trondheim

Subject area(s)
  • Statistics
Contact information
Course coordinator:

Department with academic responsibility
Department of Mathematical Sciences

Phone:

Examination

Examination arrangement: Oral examination

Term Status code Evaluation form Weighting Examination aids Date Time Digital exam Room *
Spring ORD Oral examination 100/100 C
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.
Examination

For more information regarding registration for examination and examination procedures, see "Innsida - Exams"

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