Universität Wien

250078 VU Modeling in evolutionary ecology (2016S)

4.00 ECTS (2.00 SWS), SPL 25 - Mathematik
Continuous assessment of course work

Details

Language: English

Lecturers

Classes

Friday 09:30-11:00, Seminar Room 9th floor (room 09.143), starting date: 4.3. 2016. Duration: 14 weeks. (The time of the lecture can be adjusted: interested students are encouraged to let us know about their interest and schedule conflicts.)


Information

Aims, contents and method of the course

This course will introduce topics in ecology and evolution and teach students the skills to formally address relevant problems in biology. The course is structured as a combination of lectures and integrated exercises. Students will learn to construct mathematical models that describe the dynamics and interactions of processes in ecological and evolutionary systems. The course will introduce the simulation procedures, the adaptive dynamics framework, the separation-of-time-scales technique and other methods used in model analysis. The students will practice implementing these methods using the Mathematica software introduced during the course and interpreting the results. The course will progress from classical topics in population genetics to contemporary investigation in the evolution of genetic variance, joint population dynamics and evolution, and mechanisms for species coexistence and the maintenance of diversity.

Assessment and permitted materials

In addition to active participation in the lectures, students will be required to investigate two topics of their choice. A list of possible projects, based on the course material, will be presented to the students during the course. Students will be expected to apply the methods learned during the course and implement their model in Mathematica. Course attendance is mandatory and the grade will be given based on the student's presentation of one of their projects in the class and a short written report on the other project.

Minimum requirements and assessment criteria

Examination topics

Reading list

will be announced during the course

Association in the course directory

MBIV

Last modified: Fr 31.08.2018 08:54