• 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."

Read more

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.

Read more

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

Read more

Knowledge Assessment

Comprehensive ongoing assessment: 100%

Read more

Additional Information

Hourly volumes:

            CM: 12:00 p.m.

            TD: 0 h

            Practical Training: 6:00 p.m.

            Land: 0 h

            **********

            SPS: 12:00 a.m.

            Seminars: 0 hours

            Excluding UM: 0 h

Read more