cookieImage
2025-2026 / BIOL0030-1

Modeling dynamical biological systems

Duration

15h Th, 15h Mon. WS

Number of credits

 Master in bio-informatics and modelling, research focus3 crédits 
 Master in biology of organisms and ecology, research focus5 crédits 

Lecturer

Marilaure Grégoire, Patrick Meyer

Coordinator

Patrick Meyer

Language(s) of instruction

English language

Organisation and examination

Teaching in the first semester, review in January

Schedule

Schedule online

Units courses prerequisite and corequisite

Prerequisite or corequisite units are presented within each program

Learning unit contents

Mathematical models and simulations are fundamental tools to understand how biological systems work and interact with the environment. Models are more and more used in many areas of applied ecology and genetic regulation. This lecture is targeted towards giving an introduction to ecological modelling accessible with limited mathematical and computational skills offering an overview of the state of the art of dynamical modelling. We will first define the modelling philosophy and introduce essential concepts for describing and analyzing ecological systems. Then, the students will learn to write the mass-balanced equations that govern dynamical systems, to translate in mathematical formalism ecological and chemical processes, to solve these equations in simplified conditions (e.g. steady state, prey-predator interactions, 2-species competition) and analyze model solution. The lecture will involve practical works that will allow understanding and running (simple) model codes. Examples from the terrestrial, fresh water,  ocean systems and gene regulation will be selected.

Learning outcomes of the learning unit

The final aim is to lead the students to understand dynamical modeling and to be able to conceive and run simple models.

Prerequisite knowledge and skills

Basic R knowledge should have already been acquired  (for example through STAT0077 or OCEA02224 courses).

Planned learning activities and teaching methods

An important part of the course will be devoted to the implementation of very simple examples in order to get familiar with models implementation

Mode of delivery (face to face, distance learning, hybrid learning)

Face-to-face course


Further information:

Presential classes, exercises on computers during the classes as well as as homeworks. 

Course materials and recommended or required readings

A Practical guide to Ecological Modelling, Using R as a simulation Platform. Soetaert and Herman, 2009.
Ecological Dynamics, Gurney and Nisbet, 1998.

Exam(s) in session

Any session

- In-person

written exam ( open-ended questions )


Further information:

A written, in-person, examination will be organized in January.  It will involve questions on the theory and practicals.  

For those who failed in January, a  second session exam will be planned in August/September. This second session exam will involve questions on the theory and practicals. 

All the exams are exclusevely in person.

Part Patrick Meyer: an interrogation (Ecampus) can be added during the course, focusing solely on the lectures added by this professor during the academic year. 

In case of an interrogation, the resulting grades will only impact the first session. The interrogation has no impact on the the second session. However, questions on the added lectures could be asked at an exam in second session.

Work placement(s)

Organisational remarks and main changes to the course

Contacts

Prof. Marilaure Grégoire,

MAST, ULg
e-mail : mgregoire@uliege.be 
tel : 04366 3354

******************

Prof. Patrick Meyer,

BioSys Lab
e-mail: Patrick.Meyer@uliege.be
tel : 04366 3030

Association of one or more MOOCs

There is no MOOC associated with this course.