Number of hours
- Lectures 9.0
- Projects -
- Tutorials 9.0
- Internship -
- Laboratory works -
- Written tests -
ECTS
ECTS 2.0
Goal(s)
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.
Responsible(s)
Pierre ETORE
Content(s)
1. Conditional probability. Random vectors.
2. Simulation algorithms.
3. Random processes. Poisson processes.
4. Markov chains and processes.
Applied Probability 1 (1st year).
Statistical Principles and Methods (2nd year).
Test
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
Additional Information
Course ID : 4MM1PPI
Course language(s): 
The course is attached to the following structures:
You can find this course among all other courses.
Bibliography
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