Study Programmes 2015-2016
RISQ2002-1  
Methodology for collecting and processing information applied to risk analysis
  • Systems and modeling analysis
  • Instrumentation and sensors of the natural environment
  • Environmental data processing - statistical and mathematical tools
Duration :
Systems and modeling analysis : 12h Th, 12h Pr
Instrumentation and sensors of the natural environment : 6h Th, 6h Pr
Environmental data processing - statistical and mathematical tools : 12h Th, 12h Pr
Number of credits :
Specialised master in natural hazards management5
Lecturer :
Systems and modeling analysis : Bernard Tychon
Instrumentation and sensors of the natural environment : Bernard Tychon
Environmental data processing - statistical and mathematical tools : Bakary Djaby
Coordinator :
Bernard Tychon
Language(s) of instruction :
French language
Organisation and examination :
Teaching in the first semester, review in January
Units courses prerequisite and corequisite :
Prerequisite or corequisite units are presented within each program
Course contents :
Environmental data processing - statistical and mathematical tools
Critical revision of various graphical, mathematical and statistical data processing tools applied to real-life files resulting of environmental studies.
Learning outcomes of the course :
Environmental data processing - statistical and mathematical tools
To provide the student with sufficient knowledge to be able to select the right data processing method in function of studied case, to verify main assumptions of the procedure and to critically discuss the results.
Prerequisite knowledge and skills :
Environmental data processing - statistical and mathematical tools
General knowledge of parametric statistics and of computer use.
Planned learning activities and teaching methods :
Environmental data processing - statistical and mathematical tools
A whole day in the computer room on the basis of practical cases introduced during the course.

Another whole day in the computer room on the basis of a practical case proposed for evaluation purpose.
Mode of delivery (face-to-face ; distance-learning) :
Environmental data processing - statistical and mathematical tools
The lecture is given in modules covering each a half-day of 4 hours (1 credit=3 half-days), in a class room and with on-line and real-time use of processing tools. The practical part is achieved by the students with the same tools in the computer room.
Recommended or required readings :
Environmental data processing - statistical and mathematical tools
Course notes + interactive html version available on-line on the official ULg web site.
Assessment methods and criteria :
Environmental data processing - statistical and mathematical tools
Based on the exercise carried out in the computer room.
Work placement(s) :
Organizational remarks :
Contacts :
Environmental data processing - statistical and mathematical tools
Jacques NICOLAS
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 57
Fax: 32 (0)63 23 08 00
Email: j.nicolas@ulg.ac.be