# Remedial course: probability - 3MMSPS

• #### Number of hours

• Lectures -
• Projects -
• Tutorials 9.0
• Internship -
• Laboratory works -
• Written tests -

ECTS 0.0

## Goal(s)

Learning outcomes: at the end of this course, students will be able to :

• Use basic probability formalism to model a situation in which chance is involved (in particular, the notions of contingency, event, conditional probability, independence and incompatibility).
• Solve practical problems requiring the manipulation of discrete and continuous random variables, as well as couples of random variables

Responsible(s)

Yvan PIGEONNAT

## Content(s)

his course reviews the main conceptual difficulties in probability concerning the following notions:
-Conditional probability
-Random variable
-Probability law
-Probability density
-Pairs of random variables
-Conditioning
Each lesson is illustrated by a concrete situation that serves as a pretext for highlighting the main difficulties linked to the concepts involved.

Prerequisites

Basics of analysis (derivation, integration, sum of series, standard functions).

Test

Students are asked to submit a report on the support course (maximum of 2 pages + any appendices) in which they explain the three main contributions they feel this course has made, based on what they have experienced during the session.
The grade is then taken into account as a bonus for the probability course.

• MCC en présentiel et distanciel **
N1 = note du bilan rendu
N2 = pas de rattrapage

Calendar

The course exists in the following branches:

• Curriculum - Core curriculum - Semester 5
see the course schedule for 2023-2024