Course 2022-2023

Multivariate statistics and geostatistics [SBIOB328]

  • 4 credits
  • 22.5h+22.5h
  • 1st quarter
Language of instruction: French / Français

Learning outcomes

In-depth understanding of regression and multivariate methods and and their applications in data analyses.

Objectives

Acquire a tool box for advanced data analyses.

Content

This course is divided into two parts: 1) Regression (Prof. Lima Mendez) and 2) Multivariate analysis (Prof. Depiereux).

The first part will focus on linear models with (1) multiple explanatory variables, (2) continuous and discrete explanatory variables. The second part will focus on multivariate analyses, in particular principal component analyses.

Table of contents

1. Linear regression: ANOVA; ANCOVA

2. Multivariate analyses: Matrix calculation; Multiple and nonlinear regression; Own values; Principal component analysis.

Exercises description

Computer lab sessions using R.


Teaching methods

Part Lima Mendez: Read the course reference material; question-and-answer sessions.

Depiereux part: online course + flipped classroom.

Evaluations

The first part will be evaluated at the end of the semester, during the last session of practical work, the students will receive exercises similar to the exercises carried out during practical work.

Second part (Depiereux): continuous assessment (there is no second session).

Recommended readings

Le matériel est accessible sur webcampus.

Language of instruction

French / Français

Location for course

NAMUR

Organizer

Faculté des sciences
Rue de Bruxelles, 61
5000 NAMUR

Degree of Reference

Undergraduate Degree