course-details-portlet

MA8002

Applied Biomodellling for PhD Students

Choose study year
Credits 7.5
Level Doctoral degree level
Course start Spring 2021
Duration 1 semester
Examination arrangement Oral examination

About

About the course

Course content

Students should attend the first lecture in ST2302 in the spring.
The course covers topics in stocastic population models or mathematical genetics.

Learning outcome

1. Knowledge.
The course is given for PhD students in Medicine and Biology. It deals with modeling of natural populations as stochastic processes. Multiplicative models. Stochastic growth rates. Environmental stochastic. Demographic stochastic. 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.

2. Skills.
The students shall learn basic population dynamics and study different applications of probability theory in this field. The problems dealt with will be related to modern research in ecology and conservation biology based on stochastic modeling.

3. Competence.
The students should be able to participate in joint researches and scientific discussions on international level, be able to learn new topics related to population biology and apply mathematical methods in biological studies.

Learning methods and activities

Lectures and guided self-study.

Course materials

Will be announced at the start of the semester.

Subject areas

  • Biology

Contact information

Course coordinator

Lecturers

Department with academic responsibility

Department of Mathematical Sciences