Teacher(s)
Language
English
Prerequisites
The student has a basic knowledge of ecology, evolution and statistics. Some experience with writing code (in R or other) is useful, but not strictly necessary
Main themes
Simulations models, population- and individual-based models, spatial models
Learning outcomes
At the end of this learning unit, the student is able to : | |
| 1 | Contribution of the teaching unit to the program's AA reference framework In line with the BOE2M program's competency framework, this teaching unit contributes to the development and acquisition of the following skills: 3 (3.1, 3.2, 3.3, 3.5), 4(4.3, 4.4) |
| 2 | Course-specific learning outcomes : The student is able to formulate a relevant question (biological or other) that can be used to make a population- or individual based model, to write an ODD (overview, design concepts, details) protocol for a simple model, to construct the simple model in NetLogo, using the visual interface and writing code to make a working model, to run the model with different values for important variables and extract results; and to analyse the results (graphically and/or statistically) |
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
