Modelling and simulation

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.

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