Professor | Michel PETITOT |
Methods | Lectures, Seminar, Practical work, E-learning |
30 hours | |
Prerequisites | Initiation to probability and statistic theories. Initiation to data structures, data trees and data graphs. |
ECTS | 5 |
Study of telecommunication networks with a probabilistic based modelling.
- Basic concepts and introduction to the Markov chains which are based on probability theory.
- Modelling of traffic flow laws in order to be able to evaluate the average number of rejected clients, the average response time and the average queue lenght in a network.
These results will help to forsee needed means and to size the network structure.
- Introduction to graphs theory.
- Its application field covers the packets routing problematic within an interconnected network.
Individual global synthesis of the Unit of Value: coefficient 2
Individual control: coefficient 1