Study Programmes 2015-2016
STAT1213-1  
Multivariate statistical analysis
Duration :
12h Th, 12h Pr
Number of credits :
Master in agricultural bioengineering (120 ECTS)2
Master in environmental bioengineering (120 ECTS)2
Specialised master in rural economics and sociology2
Lecturer :
Yves Brostaux
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 :
Principal component analysis
- aim
- principle
- case studies
Cluster analysis
- aim
- principle
- case studies
Discriminant analysis
- aim
- principle
- case studies
Learning outcomes of the course :
To learn how to use and how to read software outputs for some mutivariate statistical methods.
After completing the course the student is expected to - identify the cases that should be analysed by principal component analysis, cluster analysis and classification, - perform these analyses by means of a statistical software, - correctly interpret the results of the computer output.
Prerequisite knowledge and skills :
Basic skills in applied statistics, for example :
  • STAT1207-1- Applied statistics
Basic skills in computer science, for example :
  • HULG0149-1- Office automation
  • INFO2037-1- Introduction to computer science
Planned learning activities and teaching methods :
Lectures Exercises on computers
Mode of delivery (face-to-face ; distance-learning) :
Face-to-face
Recommended or required readings :
Syllabus
Assessment methods and criteria :
Written examination (100%)
Work placement(s) :
Organizational remarks :
Lectures : 12 h Practical Works : 12 h
Participation in all organized learning activities is mandatory
Contacts :
Yves Brostaux (Senior lecturer) 081 62 24 69 y.brostaux@ulg.ac.be
Items online :
eCampus
Course and practical sessions materials