Ce cours apparaît dans les formations suivantes :
• Ecole Du Numérique (EDN) - Master 1 DATA Management In Biosciences - S1 - 3 ECTS

Pré requis

No prerequisite skills.
Take with you : attention, curiosity, and passion.

Objectifs du cours

1 - Understanding the theory / foundations of the discipline

The primary goals of this course are to provide students with a comprehensive understanding of the probability theory and statistics, by getting overview of foundations and theories.

2 - Understanding the quantitative ontologial nature of our world

Students will be able to know the ontological mathematical nature of systems, especially biological systems, and will be able to handle every possible mathematical tools and theories to extract knowledge from them, from the real world.

3 - Being autonomous in the journey of experimental design and statistical modelization

By the end of this course, students should be equipped with the knowledge and skills necessary to analyze and interpret complex data, make informed decisions, and apply statistical methods in various real-world scenarios.

We will understand that the real world is complex and that we can use different tools to handle this complexity. The ultimate purpose will be ​​to create the ability to choose the best tools depending on the nature of the data (experimental design, linearity, parametric, or not)

Â

Contenu du cours

This cours is the continuity of the course “Probability and Statistics”, but based on real-world application and focusing on statistical models

STEP 5 _ LINEAR MODELS EXAMPLES

5.1 - SIMPLE LINEAR REGRESSION

5.2 - MULTIPLE LINEAR REGRESSION

5.3 - OTHER REGRESSION MODELS

STEP 6 _ OTHER CLASSIC MODEL EXAMPLES

6.1 - UNIVARIATE TESTING

6.2 - MULTIVARIATE TESTING

6.3 - NON PARAMETRIC STATISTICS

STEP 7 _ NON-LINEAR MODELS EXAMPLES

7.1 - PROBABILISTIC GRAPHICAL MODELS

7.2 - PERCOLATION THEORY

7.3 - SPATIAL STATISTICS

7.4 - EXTREM VALUE THEORY

Modalités d'enseignement

Organisation du cours

The structure of the course highlight a methodology that is not simply to learn probability and statistics. The cours create an holistic perspective to understand living / biological systems.

Because we are both the instructor and students biological living systems, we will create connections between the discipline and our real-world problems, real epistemological dilemmas, real problems we would like to solve.

The cours is not a course that's off the beaten track, detached from reality or overly theoretical, but rather a connection to reality.The education method employed in this course is designed to foster active learning and critical thinking.

Students will engage in lectures, discussions, and practical exercises to grasp theoretical concepts and apply them to real-world problems. The course promotes collaborative learning, encouraging students to work together on assignments and projects, enhancing their problem-solving skills and teamwork abilities. Additionally, regular assessments and feedback mechanisms will help student progress and provide opportunities for improvement.

In one world: engagement.

TEACHING METHOD

THEORETICAL LEARNING

Presentation of slides using a video projector

Schematization on the board

ACTIVE LEARNING WITH THE INSTRUCTOR

Group exercise

Debate

Collective problem exploration

APPLICATIONS

A capstone project by groups at the middle of the semester

Méthodes pédagogiques

Évaluation