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Informatique et Mathématiques appliquées
Une voie, plusieurs choix

> Formation > Cursus ingénieur

Probability for computer science - 4MM1PPI

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  • Number of hours

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

Goals

This course is an introduction with examples to probability models and methods useful in computer science. It gives theoretical material in probability and statistics and presents applications in the modelling and assessment of computer systems.

Content

1. Conditional probability. Random vectors.
2. Simulation algorithms.
3. Random processes. Poisson processes.
4. Markov chains and processes.

Prerequisites

Applied Probability 1 (1st year).
Statistical Principles and Methods (2nd year).

Tests

Give kind of exam for session 1 and session 2: written, allowed documents or not, oral, practical work, reports, plan, vivas

N1 = (TP + 2 * E1) / 3
N2 = (TP + 2 * E2) / 3

Calendar

The course exists in the following branches:

  • Curriculum - Work Study Education - Alternance 2eme annee
see the course schedule for 2020-2021

Additional Information

Course ID : 4MM1PPI
Course language(s): FR

The course is attached to the following structures:

You can find this course among all other courses.

Bibliography

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Date of update January 15, 2017

Université Grenoble Alpes