Simulation - autumn 2018

The Simulation course is given in Autumn 2018 (starting on October 30th). See Korppi for details. The lectures are in English and will hopefully be at least partially updated from the previous instances. However, as a back up, the materials from the previous instance are also available. (The previous instance contains links to older versions (2012 in Finnish) as well).

Simulation and modelling
Different paradigms for discrete event simulation
Event oriented simulation
Object oriented simulation
Random numbers
Monte Carlo and basic statistical analysis
Transients and steady states
Variance reduction
Regression and metamodelling

The course will include exercises that require operating with some simulation packages/libraries (like JavaSim, JaamSim, OES, SimPy or Desmo-J, see below). The exercises are preferably to be done in small groups (2-3 persons). Slides and stream capture videos are provided.

Schedule

Date	Topics	Slides	Streams
30.10.18	1: Introduction and examples	Introduction Examples	Raw capture (mp4, old version as capture failed) Audio capture (wav, 2018 version)
31.10.18	2: Discrete event systems, simulation paradigms and event based simulation	Event based modelling Javascript simulation example (oes1.1)	Screen capture (mp4, 2018 version)
6.11.18	3: Object based simulation	Object based modelling JavaSim Basic example Client based wash machine code sample Code sample for harbor network Code sample for harbor network with semaphores	Screen capture (mp4, 2018 version)
7.11.18	4: Pseudo random numbers	Random numbers Xorshift generator	Screen capture (mp4, 2018 version)
13.11.18	Ex 1
14.11.18	5: Monte Carlo and hypothesis testing	Monte Carlo Hypothesis testing Buffon needle (xlsx)	Screen capture (mp4, 2018 version)
20.10.18	6: Valid simulation experiments	Simulation tactics Initial transient (client based wash service) Renewal technique for wash machine Initial transient sample data (xlsx)	Screen capture (mp4, 2018 version)
21.11.18	Modelling tools (Toni)		Toni, Part 3 (mp4)
27.11.18	Ex 2
28.11.18	7: Variance analysis and reduction	Variance reduction Variance reduction example (wash machine) Variance reduction example (ray tracing)	Screen capture (mp4, 2018 version)
4.12.18	Ex 3
5.12.18	8: Metamodelling and design of experiments	Metamodelling Regression analysis case (pdf)	Screen capture (mp4, 2018 version)
11.12.18	Modelling case (Toni)
12.12.18	Ex 4
14.12.18	Exam

Further material - materiaalilinkkejä

Kreuzer, W., System simulation, programming styles and languages, Addison Wesley, 1986.
Lewis, P. Orav, E., Simulation methodology for statisticians, operation analysts and engineers, Vol 1., Wadshford and Brooks/Cole, 1989.
Mitrani, I., Simulation techniques for discrete event systems, Cambridge University Press, 1982.
Page, B., Kreuzer, W., The Java Simulation Handbook - Simulating Discrete Event Systems with UML and Java , Shaker Verlag, 2005.
Geyer, C. J., Introduction to Markov Chain Monte Carlo
Ruohonen, T., Erikoissairaanhoidon päivystyspolikliniikan simulointi, Lisensiaattityö.
Ruohonen, T., Improving the operation of an emergency department by using a simulation model, PhD Thesis.
Simulation related java-applets from Eindhoven . (see Trafic jam in particular),
Trafficsimulations (M. Treiber) ,
JavaSim software, University of Newcastle.
SimPy simulation package on Python.
Desmo-J-software ,
JavaScript based Event-based simulation environment (OES) ,
JaamSim Open source simulation environment with drag and drop GUI.

timo.tiihonen/jyu.fi -- Last changed 30.10.2018