LEARNING OUTCOMES
After the course the student has the following knowledge:
1) The student can analyze the performance of non-Markovian systems by using discrete event simulation, including the appropriate statistical analysis of the simulation data.
2) The student can design a new random number generator for a given distribution, when a standard generator is not available.
3) The student can simulate complex multi-server queuing models that are used to model computer and communication systems.
4) The student can develop simulation programs using Mathematica.
Credits: 5
Schedule: 06.09.2023 - 30.11.2023
Teacher in charge (valid for whole curriculum period):
Teacher in charge (applies in this implementation): Pasi Lassila
Contact information for the course (applies in this implementation):
CEFR level (valid for whole curriculum period):
Language of instruction and studies (applies in this implementation):
Teaching language: English. Languages of study attainment: English
CONTENT, ASSESSMENT AND WORKLOAD
Content
valid for whole curriculum period:
1) Discrete event simulation method;
2) Pseudo random numbers and generation of random variables from given distributions;
3) Steady state simulation and statistical analysis of simulation data;
4) Variance reduction methods;
5) Simulation of (discrete state) Markov processes and elementary birth-death processes;
6) Simulation of M/G/1 queue with application to scheduling in cellular systems;
7) Job dispatching problem in server farms and its simulation;
Assessment Methods and Criteria
valid for whole curriculum period:
Mid-term exam, project works, home assignments
Workload
valid for whole curriculum period:
Contact hours 32 h
Independent work 101 h
DETAILS
Substitutes for Courses
valid for whole curriculum period:
Prerequisites
valid for whole curriculum period:
FURTHER INFORMATION
Further Information
valid for whole curriculum period:
Teaching Language : English
Teaching Period : 2022-2023 Autumn I - II
2023-2024 Autumn I - IIEnrollment :
Registration for Courses on Sisu (sisu.aalto.fi).