Modélisation écologique et évolutive

Teacher(s)

Wesselingh Renate;

Language

French

Prerequisites

Ecology, evolution, statistics.
Some basic knowledge of the R language is useful, but not strictly necessary

Main themes

Analytical and simulation models, game theory, Evolutionarily Stable Strategies, population- and individual-based models, spatial models.

Learning outcomes

At the end of this learning unit, the student is able to :
1	This course will teach the different categories of ecological and evolutionary models, how to formalize ecological and evolutionary processes and turn them into analytical and simulation models using R, and how to use the results of such models.

Content

In the first part of the course, students learn the principles of modeling using NetLogo software.
The second part is an individual assignment, in which each student builds a model to find an answer to an original biological question.

Teaching methods

Group learning of NetLogo, discussion sessions on topics, individual work.

Evaluation methods

The evaluation consists of an oral presentation that explains the steps in the development of the model, after which the students hand in their files (code and presentation).
The work is evaluated on the basis of the originality of the question, the way of translating it into a model and the interpretation of the results obtained.

Other information

The NetLogo training starts in Q2 of the first year of the master, which allows enough time to develop the individual model, which can be presented in a session of your choice (M1 or M2).
For administrative reasons, interested students are advised to put the course in the EAP of the second year of the master, even if they already start the training in Q2 of the first year.

Online resources

site web Moodle LBOE2292
site web pour livre Railsback & Grimm

Bibliography

Railsback, S.F. & V. Grimm (2019) Agent-based and individual-based modelling, 2nd edition. Princeton University Press, Princeton, NJ, USA.

Faculty or entity

BIOL