2023-2024 / HULG9622-1

Multivariate statistics

Duration

Number of credits

 Master in innovation management and the food design (120 ECTS)2 crédits 

Lecturer

Robert Milano

Language(s) of instruction

French language

Organisation and examination

Teaching in the first semester, review in January

Schedule

Schedule online

Units courses prerequisite and corequisite

Prerequisite or corequisite units are presented within each program

Learning unit contents

First, this course review the basics of statistics before exploring the tools dedicated to multivariate analysis.

Learning outcomes of the learning unit

- Master the statistical concepts and choose the right tools to implement them.

- Use R software.

Prerequisite knowledge and skills

- Windows (files managment, etc.)

- Mathematics : Vectors, matrices, derivation, exponential, logarithm, integration, combinatorics.

Planned learning activities and teaching methods

Theoric courses and practical exercises.

Mode of delivery (face to face, distance learning, hybrid learning)

Face-to-face course

Recommended or required readings

Exam(s) in session

Any session

- In-person

written exam ( open-ended questions )

Work placement(s)

Organisational remarks and main changes to the course

Contacts

mail HECh : r.milano@hech.be

mail ULG : robert.milano@uliege.be

Association of one or more MOOCs