ECTS
4 credits
Component
Faculty of Science
Description
"This module presents 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; (dis)similarity indices, distance; correlation"
Objectives
Understand and know how to apply and interpret classification methods: aggregation criteria for hierarchical ascending classification (mean linkage etc.) and k-means PCA + AFC +PCoA-MDS + nMDS.
Necessary pre-requisites
Descriptive statistics (variance, co-variance, linear regression), matrix calculation
Knowledge control
Continuous assessment : 100%.
Additional information
Hourly volumes:
CM : 12 h
TD : 0 h
TP : 18 h
Field : 0 h
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SPS : 0 h
Seminars : 0 h
Outside UM : 0 h