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Probability - 3AMMA330

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  • Number of hours

    • Lectures : 16.5
    • Tutorials : 9.0
    • Laboratory works : -
    • Projects : -
    • Internship : -
    • Written tests : -
    ECTS : 2.0
  • Officials : Pierre-Alain TOUPANCE

Goals

At the end of the course, the student should be able to:
- understand basic notions;
- model a problem using probabilistic tools
- analyze the results of a poll

Content

  • Probability theory
    • Combinatorics.
    • Probability spaces.
    • Random variables.
    • Most common discrete distribution laws.
    • Continuous random variables.
    • Random vectors.
    • Main convergence theorems.
  • Statistics
    • Statistical analysis: one variable.
    • Statistical analysis: two variables.
    • Point estimation, trust intervals.
    • Hypothesis testing.

Prerequisites

Set theory, sequences, series, power series, integrals

Tests



Calendar

The course exists in the following branches:

see the course schedule for 2020-2021

Additional Information

Course ID : 3AMMA330
Course language(s): FR

The course is attached to the following structures:

  • Team

You can find this course among all other courses.

Bibliography

Probabilité via l'intégrale de Riemann
Charles Suquet

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Date of update June 25, 2015

Université Grenoble Alpes