Number of hours
- Lectures 18.0
- Projects -
- Tutorials -
- Internship -
- Laboratory works -
ECTS
ECTS 22.0
Goal(s)
Understanding the concept of random variable in order to be able to make a statistical study in its entirety, from the modeling phase, through the estimation of parameters, and to testing statistical hypotheses.
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Content(s)
After a first part on probability (vocabulary, random variables, common laws of probability), the statistical approach is presented in its entirety (histograms, statistical plots, point estimation, confidence intervals, testing statistical hypotheses, linear regression).
If all the tools described in the paper support provided are not being treated in class, this course should enable the students to use them if needed in their professionnal life.
Basic concepts in mathematical analysis.
Accessibility for people with disabilities : please contact us for further information
Written exam, paper support and one personnal concept map allowed.
1ère session: examen écrit sur 20 points, dont 10 comportant une part de contrôle continu concernant l'élaboration tout au long du cours d'une de la carte de connaissance rendue le jour du DS et évaluée sur les critères suivants: exhaustivité, concision, lisibilité et justesse des liens.
2ème session: oral de 30 minutes ou examen écrit suivant l'affluence.
The course exists in the following branches:
- Curriculum - Pagora Engineer - Apprentice - Semester 6
Course ID : 3FMA1008
Course language(s):
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