EXDIM: Exploring multidimensional data

This module presents table management and the link between multivariate and univariate analysis: matrix manipulation and common operations; the concepts of projection and distance; translation of descriptive and univariate statistics using multiple regression/ACP/AFD as examples; indices of (dis)similarity, distance; correlation.

Understand and know how to apply and interpret classification methods: aggregation criteria for hierarchical ascending classification (mean link, etc.) and k-means PCA + AFC + PCoA-MDS + nMDS.

Descriptive statistics (variance, covariance, linear regression), matrix calculations

Continuous assessment: 100%

Hourly volumes:

            CM: 12 p.m.

            TD: 0 hours

            Practical work: 6 p.m.

            Field: 0 hours

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            SPS: 0 hours

            Seminars: 0 hours

            Outside UM: 0 hours