Number of hours
- Lectures 30.0
- Projects -
- Tutorials 30.0
- Internship -
- Laboratory works -
ECTS
ECTS 5.0
Goal(s)
To give students mathematical tools in order to represent physical models
Introduction to probabilistic tools and hazardous phenomenon modelings.
Introduction to statistic notions and parameter estimation or statistical hypothesis validation
Responsible(s)
Antoine VEZIER
Content(s)
Differential equations
Complex variable functions
Fourier transform
Laplace transform
Z transform
Elementary probabilities: problem modeling by creating an universe and a set of events, counting, conditional probabilities.
Random, discrete, continuous variables.
Discrete and continuous random vectors.
Gaussian vectors
Central Limit Theorem
Knowledge about the complex body, cartesian or polar coordinate calculation, geometrical representation
Classical analysis tools: integer series, integration
Test
One written test of 3h and ongoing assessment during the tutorial sessions
EN 30% + ER 70%
Calendar
The course exists in the following branches:
- Curriculum - Year 1 Engineering Bachelor Degree - Semester 5
Additional Information
Course ID : 3EUS1MAT
Course language(s): 
You can find this course among all other courses.
Bibliography
Daniel Li, Intégration et applications, Cours et exercices corrigés, Editions Ellipses, 2016.
Bernard Candelpergher, Théorie des probabilités, Edition Calvage et Mounet, 2013
French State controlled diploma conferring a Master's degree
