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| STAT1213-1 | Elements of multivariate statistical methods
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| Duration : | 12h Th, 12h Pr |
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| Number of credits : |
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| Lecturer : | Rodolphe Palm |
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Language(s) of instruction :
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| French language |
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Course contents :
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| Principal component analysis
- aim
- principle
- case studies
Cluster analysis
- aim
- principle
- case studies
Discriminant analysis
- aim
- principle
- case studies |
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Learning outcomes of the course :
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| 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 SAS software,
- correctly interpret the results of the computer output. |
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Prerequisites and co-requisites/ Recommended optional programme components :
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| Basic skills in applied statistics, for example :
-- STAT1207-1- Applied statistics
Basic skills in computer science, for example :
-- HULG0149-1- Office automation
or -- INFO2037-1- Introduction to computer science |
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Planned learning activities and teaching methods :
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| Lectures
Exercises on computers |
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Mode of delivery (face-to-face ; distance-learning) :
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| Face-to-face |
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Recommended or required readings :
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| Syllabus |
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Assessment methods and criteria :
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| Written examination (100%) |
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Organizational remarks :
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| Lectures : 12 h
Practical Works : 12 h |
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Contacts :
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| Palm, Rodolphe (Professeur)
Enseignement et recherche
081 62 24 79
Rodolphe.Palm@ulg.ac.be |
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