2023-2024 / STAT1213-1

Multivariate analysis 1: data exploration and structuring


9h Th, 9h Pr

Number of credits

 Master in agricultural bioengineering (120 ECTS)2 crédits 
 Master in bioengineering : chemistry and bio-industries (120 ECTS)2 crédits 
 Master in environmental bioengineering (120 ECTS)2 crédits 
 Master in forests and natural areas engineering (120 ECTS)2 crédits 


Yves Brostaux

Language(s) of instruction

French language

Organisation and examination

Teaching in the first semester, review in January


Schedule online

Units courses prerequisite and corequisite

Prerequisite or corequisite units are presented within each program

Learning unit contents

Principal component analysis
- aim
- principle
- case studies
Cluster analysis
- aim
- principle
- case studies
Discriminant analysis
- aim
- principle
- case studies

Learning outcomes of the learning unit

To learn how to make a basic mutivariate statistical analysis and how to interpret related software outputs
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 :

  • STAT2003 et STAT2004 - Applied Statisticw (1st & 2nd part)
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, hybrid learning)


Recommended or required readings


Any session :

- In-person

written exam ( multiple-choice questionnaire, open-ended questions )

- Remote

written exam ( multiple-choice questionnaire, open-ended questions )

- If evaluation in "hybrid"

preferred remote

Additional information:

Written examination (100%)

Work placement(s)

Organisational remarks and main changes to the course

Lectures : 9 h Practical Works : 9 h
Participation in all organized learning activities is mandatory


Yves Brostaux (Professor)
081 62 24 69

Association of one or more MOOCs

Items online

Course and practical sessions materials