4.00 credits
12.0 h + 36.0 h
Q1
Teacher(s)
Wesselingh Renate;
Language
French
Prerequisites
Ecology, evolution, statistics.
Some basic knowledge of the R language is useful, but not strictly necessary
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.
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.
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.
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
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
Programmes / formations proposant cette unité d'enseignement (UE)
Title of the programme
Sigle
Credits
Prerequisites
Learning outcomes
Master [120] in Biology of Organisms and Ecology
Master [120] in Environmental Science and Management
Interdisciplinary Advanced Master in Science and Management of the Environment and Sustainable Development