ECTS
4 credits
Training Structure
College of Sciences
Description
"This module introduces array management and the relationship between multivariate and univariate analysis: matrix manipulation and common operations; the concepts of projection and distance; interpretation of descriptive and univariate statistics, using multiple regression, PCA, and AFD as examples; (dis)similarity indices, distance; and correlation."
Objectives
Understand, apply, and interpret classification methods: aggregation criteria for hierarchical ascending classification (medium link, etc.) and k-means, ACP, AFC, PCoA-MDS, and nMDS.
Class Hours
- EXDIM: Multidimensional Data Exploration - LabLab6:00 p.m.
- EXDIM: Multidimensional Data Exploration - LectureLecture12 hours
Mandatory Prerequisites
Descriptive statistics (variance, covariance, linear regression), matrix calculations
Knowledge Assessment
Comprehensive ongoing assessment: 100%
Additional Information
Hourly volumes:
CM: 12:00 p.m.
TD: 0 h
Practical Training: 6:00 p.m.
Land: 0 h
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SPS: 12:00 a.m.
Seminars: 0 hours
Excluding UM: 0 h