INFO8008-1

Duration

18h Th, 18h Pr

Number of credits

	Master in agricultural bioengineering (120 ECTS)	4 crédits
	Master in bioengineering : chemistry and bio-industries (120 ECTS)	4 crédits
	Master in environmental bioengineering (120 ECTS)	4 crédits
	Master in forests and natural areas engineering (120 ECTS)	4 crédits

Lecturer

Yves Brostaux, Juan Antonio Fernandez Pierna, Hélène Soyeurt

Coordinator

Hélène Soyeurt

Language(s) of instruction

English 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

The course is divided into 6 learning modules including one face-to-face session and e-learning activities:

Module 1: Linear, Ridge and Lasso regressions
Module 2: Principal component regression (PCR) + Partial least square regression (PLS)
Module 3: Logistic regression
Module 4: Random forest
Module 5: PLS - discrniminant analysis + Super vector machine (SVM)
Module 6: Neural network

Learning outcomes of the learning unit

After this course, the student will be able to conduct a complete exploratory data analysis from the data cleaning to the practical implementation.
The student will be also able to communicate the obtained results to stakeholders.

Prerequisite knowledge and skills

STAT2002-A-a : Statistique fondamentale, 1ère partie
STAT2004-A-a : Statistique appliquée : 1ère partie
STAT2005-A-a : Statistique appliquée : 2ème partie
STAT1213-A-a : Analyse statistique à plusieurs variables

Planned learning activities and teaching methods

The course is composed of 6 modules as aformentionned. Each module includes:

one face-to-face session (2h) developping the theoritical concepts
one e-learning session (1h) applying in practice the exposed theoritical concepts
one e-learning session (3h) based on the resolution of a full data analysis dedicated to the exposed theoritical concepts

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

Face-to-face session (30%) + e-learning activities (70%)

Organisational adjustments related to the current health context

The evaluation during the exam session will consist of:

answering questions related to the course content (30 min)
an oral assessment related to the work given one month before the evaluation (15 min).

Yellow or orange code: the exam will be realized orally in the Statistics Unit. All sanitary rules will be taken.

Assessment methods and criteria

Below you will find information on the evaluation methods planned for in-person and remote exams as well as those planned for hybrid sessions. Depending on how the health crisis evolves, the chosen method will be communicated to you no later than one month before the start of the exam session.