Learning Outcomes
Knowledge: Thorough grasp of modelling and simulation concepts. Acquaintance and learning of simulation software.
Building the necessary background for systems modeling and simulation (random variates, probability distributions, etc).
Skills: Development of simulators and use of simulation packets. Practice in solving exercises based on taught theory and tools.
Course Content (Syllabus)
Basic Simulation Modelling. Systems, models and simulation. Simulation types. Discrete
event simulation. Queueing system simulation. Modeling complex systems. Simulation software
and tools. The GPSS/H language. The simulation packet Simul8. Selecting input probability
distributions. Generating random numbers and random variates. Techniques for building
valid and credible simulation models. Output data analysis. Parallel and distributed simulation.
New approaches in modeling and simulation - Applications.
Course Bibliography (Eudoxus)
• Μ. Ρουμελιώτης, Σ. Σουραβλάς, "Τεχνικές Προσομοίωσης", Εκδόσεις Τζιόλα, Θεσσαλονίκη, 2011.
• Μ. Σφακιανάκης, "Προσομοίωση και Εφαρμογές (αναθεωρημένη έκδοση)", BROKEN HILL PUBLISHERS LTD, 2020.
Additional bibliography for study
Slides μαθήματος online στο elearning
Σχετική Βιβλιογραφία
Simulation modeling and Analysis, Averill M. Law, W. David Kelton, 1991, McGraw-Hill Higher Education.
Getting Started with GPSS/H, Getting started with GPSS/H , Jerry Banks, John S. Carson II, John Ngo Sy, Annandale Va. : Wolverine Software Corp., c1995.
Συμπληρωματική Βιβλιογραφία
Discrete-Event System Simulation, Jerry Banks, Barry Nelson, John Carson, 1999, Prentice Hall.
Simulation, The Practice of Model Develpment and Use, S. Robinson, Wiley, 2004.
Ερευνητικές Εργασίες.