Processus stochastiques
- UE code INFOM222
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Schedule
30 15Quarter 1
- ECTS Credits 5
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Language
Français
- Teacher Remiche Marie-Ange
At the end of this lecture, a student should be able to
Our objective is to help students to understand and to solve random processes that may encounter in communication systems.
We give theory of renewal and Markov processes and basics of queueing theory,
We highlight the algorithmic and implementational aspects of the specification model. We will highlight algorithmic aspects of discrete-event simulation technics. Langage of use is R exclusively.
Written exam.
S. Resnick. Adventures in Stochastic Processes. Birkhäuse, 2005.
I. Adan et J. Resing. Queueing Theory. Available on line, Netherlands, 2002
H. Kobayashi et B.L. Mark. System Modeling and Analysis. Fondations of System Performance Evaluation. Pearson, 2009.
Lawrence M. Leemis and Stephen K. Park, Discrete-Event Simulation: A First Course, Prentice Hall, 2006.
Training | Study programme | Block | Credits | Mandatory |
---|---|---|---|---|
Master 120 en sciences informatiques, à finalité spécialisée en software engineering | Standard | 0 | 5 | |
Master 60 en sciences informatiques | Standard | 0 | 5 | |
Master 120 en sciences informatiques, à finalité spécialisée en data science | Standard | 0 | 5 | |
Master 60 en sciences informatiques | Standard | 1 | 5 | |
Master 120 en sciences informatiques, à finalité spécialisée en data science | Standard | 2 | 5 | |
Master 120 en sciences informatiques, à finalité spécialisée en software engineering | Standard | 2 | 5 |