Modelling and simulation

Individual course

Max amount of FITech students: 5

Course contents

  • Discrete event simulation method
  • Pseudo random numbers and generation of random variables from given distributions
  • Steady state simulation and statistical analysis of simulation data
  • Variance reduction methods
  • Simulation of (discrete state) Markov processes and elementary birth-death processes
  • Simulation of M/G/1 queue with application to scheduling in cellular systems
  • Job dispatching problem in server farms and its simulation

After the course the student can

  • analyze the performance of non-Markovian systems by using discrete event simulation, including the appropriate statistical analysis of the simulation data.
  • design a new random number generator for a given distribution, when a standard generator is not available.
  • simulate complex multi-server queuing models that are used to model computer and communication systems.
  • develop simulation programs using Mathematica.

Completion methods

Mid-term exam, project works, home assignments

More information on the Aalto University course page.

You can get a digital badge after completing this course.

 

Responsible teacher

Aalto University
Pasi Lassila
pasi.lassila(at)aalto.fi

Contact person for applications

FITech-verkostoyliopisto
Fanny Qvickström, Opintoasioiden suunnittelija
info(at)fitech.io

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