Process modelling and forescasting systems

lbrti2102  2017-2018  Louvain-la-Neuve

Process modelling and forescasting systems
5 credits
30.0 h + 15.0 h
Q1
Teacher(s)
Hanert Emmanuel;
Language
French
Prerequisites
Basic courses in mathematics (LMAT1111, LBIR1200) and some knowledge of Matlab (LBIR1204, LBIR1305).
Main themes
This module will help students to develop a thorough knowledge of the different steps required to setup a model and learn how to use simulation tools. The students will be able to setup a complete modelling approach in order to forecast and anticipate the behaviour of complex systems. This module considers the propagation of errors and uncertainties in models and hence allows estimating the risk associated to a particular decision.
Aims

At the end of this learning unit, the student is able to :

1

a.     Contribution de l¿activité au référentiel AA (AA du programme)

 

1.2

2.1, 2.2, 2.3, 2.4

3.1, 3.2, 3.3, 3.4

6.1, 6.2, 6.3, 6.5, 6.8

 

b.     Formulation spécifique pour cette activité des AA du programme

 

By the end of the LBRTI2102 module, students will be able to:

 

·   Name, describe, explain the theoretical concepts related to the mechanistic approach to analyse and model environmental processes;

·   Explain mathematical concepts and use computational tools to model the space-time dynamics of these processes;

·   Use these concepts and tools in an operational fashion in order to model the processes that drive realistic environmental systems in the context of an individual project;

·   Present a detailed justification of the methodological choices that have been made to analyse the system under study;

·   Write a brief report, with a solid discussion based on the modelling results and appropriately illustrated with graphs and charts, using accurate and appropriate scientific vocabulary.

 

The contribution of this Teaching Unit to the development and command of the skills and learning outcomes of the programme(s) can be accessed at the end of this sheet, in the section entitled “Programmes/courses offering this Teaching Unit”.
Content
The course covers the following elements and illustrates them with examples modelled ''with Matlab:
1.     Time-dependent population models.
2.     1D and 2D transport models and numerical schemes to discretize advection-diffusion-reaction equations.
3.     Model application in hydrodynamics, surface runoff, ecology and epidemiology.
Cellular automata models and their application to model the dynamics of epidemics and invasive plant species.
Teaching methods
The course is taught through lectures that include many practical examples. Practicals are explained by a teaching assistant who provides a hands-on guidance to the students to apply the concepts taught during the lectures.
Evaluation methods
Individual report on a personal project to be handed in by the end of term and a written exam during the exam session. 
Other information
Lecture notes are written in English. The course can be taught in English or in French.
This course can be given in English.
Online resources
Lecture notes and Matlab programs are made available on Moodle
Bibliography
1.     Supports de cours: Notes de cours et programmes Matlab disponibles sur Moodle.
2.     Lectures recommandées: liste à jour disponible sur Moodle.
Faculty or entity
AGRO


Programmes / formations proposant cette unité d'enseignement (UE)

Title of the programme
Sigle
Credits
Prerequisites
Aims
Master [120] in Forests and Natural Areas Engineering

Master [120] in Agricultural Bioengineering

Master [120] in Chemistry and Bioindustries

Master [120] in Environmental Bioengineering