Course: Simulation of Systems

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Course title Simulation of Systems
Course code AUART/AESIS
Organizational form of instruction Lecture + Tutorial
Level of course Master
Year of study not specified
Semester Winter
Number of ECTS credits 5
Language of instruction Czech, English
Status of course unspecified
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Vašek Lubomír, doc. Ing. CSc.
  • Chramcov Bronislav, doc. Ing. Bc. Ph.D.
Course content
- System simulation introduction, basic terminology, problem classification - Models and system modeling, connection to modeling and simulation, simulation definition - Simulation studies and their phases - Simulation of continuous dynamic systems - Differential equations as a model of continuous dynamic systems and their analytic and numeric solving - Solving of continuous simulation models within Simulink and Matlab software systems - Basic methods of modeling and simulation of discrete systems - Simulation controlled by events, compilation and usage of event?s schedule - Modeling of stochastic systems, usage of statistical methods, random variables generating - Simulation languages, their characteristic features, classification - Solving of discrete system?s models within Witness software system - Scheduling of simulation experiments - Application of simulation into manufacturing systems

Learning activities and teaching methods
Monologic (Exposition, lecture, briefing), Exercises on PC, Practice exercises
prerequisite
Knowledge
Knowlage of: Mathematic, especially mathematic analysis, numeric mathematic and statistic Object programming
Knowlage of: Mathematic, especially mathematic analysis, numeric mathematic and statistic Object programming
learning outcomes
The student has knowledge important for complex understanding of principles and methods used for dynamic system simulation. The student is able to create simulation models within technical fields, especially in manufacturing and to realize simulation studies as a method of practical application of simulation processes into extensive stochastic dynamic systems within different application fields. The student acquires ability to practically realize his/her theoretical knowledge during practical experiments using particular simulation software system.
The student has knowledge important for complex understanding of principles and methods used for dynamic system simulation. The student is able to create simulation models within technical fields, especially in manufacturing and to realize simulation studies as a method of practical application of simulation processes into extensive stochastic dynamic systems within different application fields. The student acquires ability to practically realize his/her theoretical knowledge during practical experiments using particular simulation software system.
teaching methods
Monologic (Exposition, lecture, briefing)
Monologic (Exposition, lecture, briefing)
Practice exercises
Exercises on PC
Exercises on PC
Practice exercises
assessment methods
Analysis of the student's performance
Written examination
Written examination
Analysis of the student's performance
Recommended literature
  • Douša, J. Modelování na číslicových počítačích. Praha : ČVUT, 1990. ISBN 80-01-00447-3.
  • Noskievič, P. Simulace systémů. Ostrava : VŠB-TU, 1996. ISBN 80-7078-112-2.
  • Ralston, A. Základy numerické matematiky. Praha : Academia, 1973.
  • Vašek, L., Konečný, I. Simulace systémů. Brno : VUT, 1986.
  • Vašek, Lubomír. Simulace systémů. 1. vyd. Brno : VUT, 1991. ISBN 8021402628.
  • Zítek, P. Simulace dynamických systémů. Praha : SNTL, 1980.
  • Zítek, Pavel. Matematické a simulační modely 1 : modely v komplexním oboru. 1. vyd. Praha : ČVUT, 2004. ISBN 8001023001.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester