The objective of this course is to familiarize the Master students with event-driven simulation concepts. Performance studies can be driven either analytically, by simulations or by measurements. Simulation is a flexible methodology that can be used to analyse and to model the behaviour of systems and networks. Nowadays, simulations and modelling are being widely used in different fields: industries, research Institutes and Universities. Simulation results are also often used to compare those analytically.
During this course, students will be introduced to simulation theory by practising with Network Simulator. Then, the main simulation concepts will be presented: different types of simulations, notion of scheduler, random number generation and confidence interval estimation. The course will be validated with a small project.
Lecturers: Pr Tulin Atmaca and Pr Michel Marot
Parcours de rattachement
Pour les étudiants du diplôme Diplôme d'ingénieur
Pour les étudiants du diplôme Computer Science for Networks M2
Students are evaluated by a project.