Ensimag Rubrique Formation 2022

Remedial course: probability - 3MMSPS

  • Number of hours

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


    ECTS 0.0


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




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
Each lesson is illustrated by a concrete situation that serves as a pretext for highlighting the main difficulties linked to the concepts involved.


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


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


The course exists in the following branches:

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

Additional Information

Course ID : 3MMSPS
Course language(s): FR

You can find this course among all other courses.


BOULEAU N. Probabilités de l'ingénieur : variables aléatoires et simulation. Paris : Hermann, 2002
ROSS S.M. Introduction to probability models. Amsterdam : London : Paris [etc.] : Elsevier Academic Press, 2007
TASSI P., LEGAIT S. Théorie des probabilités en vue des applications statistiques. Paris : Éd. Technip : Rueil-Malmaison : Institut français du pétrole, 1990
TASSI P. Méthodes statistiques. Paris : Économica, 1989