Welcome to the course!
The course begins on Wednesday 9.9. at 10:15. All teaching events will be organized remotely by using Zoom teleconferencing tool. Links to all events can be found under the section Schedule and lecture material.
The objective of the course is to teach students to use discrete event simulations as a method for performance evaluation of data networks and computer systems. The general information about the course in WebOodi is available here.
We build on the basic knowledge that students have on probability and Markov processes from their bachelor studies. Discrete event simulation is a statistical method that can be used to study systems under non-Markovian assumptions. On this course the student will learn the fundamentals of the discrete event simulation method, as well as the development of simulation programs using Mathematica. We develop simulation models of queueing systems that are motivated by recent research on, e.g., wireless systems as well as data centers. Simulation relies on random number generation and the picture below shows random samples generated in a unit square with probability density f(x,y)=x+y !
Pasi Lassila (responsible teacher)