ECTS
4 credits
Component
Faculty of Science
Description
"This module introduces table management and the link between multivariate and univariate: matrix manipulation and common operations; notion of projection and distance; translation of descriptive and univariate statistics with multiple regression/ACP/AFD as an example; indices of (dis)similarity, distance; correlation".
Objectives
Understand, apply and interpret classification methods: aggregation criteria for hierarchical ascending classification (mean link, etc.) and k-means PCA + AFC +PCoA-MDS + nMDS.
Necessary prerequisites
Descriptive statistics (variance, co-variance, linear regression), matrix calculation
Knowledge control
100% continuous assessment
Further information
Hourly volumes:
CM : 12 h
TD : 0 h
Practical work: 18 h
Field : 0 h
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SPS: 0 h
Seminars: 0 h
Outside UM: 0 h