University of Athens, Dept of Informatics

 Postgraduate Course in SIMULATION

/The art of creating a computer model behaving as a system under perception /



Introduction, familiarization and efficient utilization of simulation theory and practices


Introduction to basic simulation concepts and terminology.

Event-driven and process-driven simulation. Simulation project cycle.

Queuing systems. Probabilities and statistics.

Object-oriented programming. Building reliable models.

Random number generation. Generation of random variates. Output analysis for terminating and non-terminating experiments.

Modeling formalisms – the DEVS formalism.

Real-Time and Faster-than-Real-Time Simulation. Examples and applications.

MODSIM and ARENA simulation languages.

Lecture Schedule

Final Grade

The course involves both exams and a group project that must be completed by students.

Group formation is left to students, provided that each group has up to 3 members.

The final grade is calculated as follows:

Final Grade =0.5*Exam_G +0.5*Proj_G






Chap07Slides (D Kelton).pdf

Chap08Slides (D Kelton).pdf

Chap09Slides (D Kelton).pdf


Recommended Reading

A.M. Law, W.D. Kelton, Simulation Modeling and Analysis, McGraw Hill

D. Kelton, Simulation with Arena, McGraw Hill

B. Zeigler, H. Praehofer, T. Kim, Theory of Modeling and Simulation, Academic Press

P. Fishwick, Simulation Model Design and Execution, Prentice Hall



Αποτελέσματα Ιουνίου 2003-2004


Latest News and Announcements


Simulation Links

The Society for Computer Simulation International

The ACM Special Interest Group on Simulation

INFORMS College on Simulation

Bernard’s Zeigler’s work on Computer Simulation (Arizona Center for Integrative Modeling and Simulation)

Paul Fishwick’s work on Computer Simulation

Systems Modeling Simulation LAB in KAIST

Bibliography for Discrete Events Systems Simulation



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