Duration
Part 1 : Indicators : 8h Th, 8h Pr
Part 2 : Indentification of systems : 8h Th, 4h Pr
Part 3 : Spatial information : 12h Th, 12h Pr
Number of credits
Master in environmental science and management (120 ECTS) | 4 crédits |
Lecturer
Part 1 : Indicators : Anne-Claude Romain
Part 2 : Indentification of systems : Philippe Andre
Part 3 : Spatial information : N..., Bernard Tychon
Coordinator
Language(s) of instruction
French language
Organisation and examination
Teaching in the first semester, review in January
Schedule
Units courses prerequisite and corequisite
Prerequisite or corequisite units are presented within each program
Learning unit contents
see parts
Part 1 : Indicators
Construction of global environmental indicators:
- usefulness of global indicators
- choice and aggregation of variables
- normalization
- quality of a good indicator
- International systems of environmental indicators and sustainable development
- different approaches to the construction of indicators (models: PSR, DSR, DPSIR)
- presentation of indicators in environmental reports
- examples of indicators
Part 2 : Indentification of systems
Description of the teaching unit:
The course proposes an introduction to system identification in view oft the application to an environmental monitoring problem.
Table of contents:
Reminder of System analysis, complements to mathematical modelling, identification and parameters estimation: methods and algorithms, application to environmental studies
Part 3 : Spatial information
Theory:
- Concepts relating to the representation of spatial information
- Examples of case studies of the use of GIS applied to environmental management
- Review of spatial information representation modes
- Advanced symbology (3D extrusion)
- Web mapping: construction of a web map
- Dynamic (video) representation of a spatio-temporal phenomenon in a GIS
- Landscape analysis (landscape impact of a structure, inter-visibility analysis (wind farm))
- Analysis of a time series of satellite images via SPIRITS
- "Big data" analysis of satellite images in the cloud via Google Earth Engine
- Multi-layer spatial modeling
- ...
Learning outcomes of the learning unit
The student will be able to interpret and manipulate environmental indicators. He can use them in reports.
At the end of the course, the students are able to introduce the data collected during a measurement campaign about an environmental process in an elementary system identification procedure and to estimate the value of the parameters of a simplified model in order to interpret the data.
Confer above
Part 1 : Indicators
The student will be able to interpret and manipulate environmental indicators. He can use them in reports.
Part 2 : Indentification of systems
At the end of the course, the students are able to introduce the data collected during a measurement campaign about an environmental process in an elementary system identification procedure and to estimate the value of the parameters of a simplified model in order to interpret the data.
Part 3 : Spatial information
Confer above
Prerequisite knowledge and skills
Mathematics (derivatives, matrices) and metrology fundamentals
Some knowledge of theory and practice of GIS (QGIS) and remote sensing.
Part 1 : Indicators
///
Part 2 : Indentification of systems
Mathematics (derivatives, matrices) and metrology fundamentals
Part 3 : Spatial information
Some knowledge of theory and practice of GIS (QGIS) and remote sensing.
Planned learning activities and teaching methods
ex-cathedra lectures and group brainstorming on the construction of indicators.
In the course, theoretical elements are presented in alternace with environmental applications. The course ends with a global synthetical exercise which illustrates the approach until the end.
1 theory session.
5 practical sessions on computers.
Part 1 : Indicators
ex-cathedra lectures and group brainstorming on the construction of indicators.
Part 2 : Indentification of systems
In the course, theoretical elements are presented in alternace with environmental applications. The course ends with a global synthetical exercise which illustrates the approach until the end.
Part 3 : Spatial information
1 theory session.
5 practical sessions on computers.
Mode of delivery (face to face, distance learning, hybrid learning)
face-to-face
The course is given face-to-face
In classroom or through viso-conference
Part 1 : Indicators
face-to-face
Part 2 : Indentification of systems
The course is given face-to-face
Part 3 : Spatial information
In classroom or through viso-conference
Recommended or required readings
Power Point presentations.
Power point presentations of the lessons are available on MyULiège. Papers presenting the application examples available as well.
Provided by Bernard TYCHON, Antoine DENIS and Marie LANG by email.
+ https://orbi.uliege.be/handle/2268/240835
Part 1 : Indicators
Power Point presentations.
Part 2 : Indentification of systems
Power point presentations of the lessons are available on MyULiège. Papers presenting the application examples available as well.
Part 3 : Spatial information
Provided by Bernard TYCHON, Antoine DENIS and Marie LANG by email.
+ https://orbi.uliege.be/handle/2268/240835
Part 1 : Indicators
homework report on a selected indicator
Part 2 : Indentification of systems
Exam(s) in session
Any session
- In-person
oral exam
Additional information:
In person: 30 minutes oral examination without access to the course notes based upon a broad question prepared by the student during 30 minutes.
Remote: 30 minutes oral examination with access to the course notes and no preparation time
Part 3 : Spatial information
Any session :
- In-person
written exam
- Remote
written work
- If evaluation in "hybrid"
preferred remote
Additional information:
Individual report related to practical sessions
Work placement(s)
Organizational remarks
syllabus on ecampus
Part 1 : Indicators
syllabus on ecampus
Contacts
Anne-Claude ROMAIN
Département des Sciences et Gestion de l'Environnement
Université de Liège-Campus d'Arlon
Avenue de Longwy, 185
B-6700 ARLON
Belgium
Tel: 32 (0) 63 23 08 59
acromain@ulg.ac.be
Call
Send SMS
Add to Skype
You'll need Skype CreditFree via Skype
Philippe ANDRE
Professor
Building Energy Monitoring and Simulation
Université de Liège
Arlon Campus Environnement
Avenue de Longwy, 185
B-6700 ARLON
32 (0)63 23 08 58
p.andre@uliege.be
Bernard TYCHON Bernard.TYCHON@ULIEGE.be
Antoine DENIS Antoine.DENIS@ULIEGE.be
Marie LANG Marie.LANG@ULIEGE.be
Part 1 : Indicators
Anne-Claude ROMAIN
Département des Sciences et Gestion de l'Environnement
Université de Liège-Campus d'Arlon
Avenue de Longwy, 185
B-6700 ARLON
Belgium
Tel: 32 (0) 63 23 08 59
acromain@ulg.ac.be
Call
Send SMS
Add to Skype
You'll need Skype CreditFree via Skype
Part 2 : Indentification of systems
Philippe ANDRE
Professor
Building Energy Monitoring and Simulation
Université de Liège
Arlon Campus Environnement
Avenue de Longwy, 185
B-6700 ARLON
32 (0)63 23 08 58
p.andre@uliege.be
Part 3 : Spatial information
Bernard TYCHON Bernard.TYCHON@ULIEGE.be
Antoine DENIS Antoine.DENIS@ULIEGE.be
Marie LANG Marie.LANG@ULIEGE.be