Course detail
Simulation Tools and Techniques
FIT-SNTAcad. year: 2021/2022
Theory of modelling and simulation, DEVS (Discrete Event System Specification) formalism. Simulation systems, their design and implementation. Algorithms used for simulation control, introduction to parallel and distributed simulation. Continuous, discrete, and combined simulation: model description methods, simulation tools, numerical methods. Special types of models; corresponding methods, techniques, and tools. Modeling of systems described by partial differential equations. Introduction to model validation and verification. Simulation experiment control. Simulation results analysis and visualization overview. Simulation system case study.
Language of instruction
Number of ECTS credits
Mode of study
Guarantor
Department
Learning outcomes of the course unit
Creation of simulation tools, models, and practical use of simulation methods.
Prerequisites
Co-requisites
Planned learning activities and teaching methods
Assesment methods and criteria linked to learning outcomes
Course curriculum
Work placements
Aims
Specification of controlled education, way of implementation and compensation for absences
The knowledge of students is examined by the projects and
by the final exam. The minimal number of points which
can be obtained from the final exam is 30. Otherwise,
no points will be assigned to a student.
Recommended optional programme components
Prerequisites and corequisites
Basic literature
Recommended reading
Fujimoto, R.: Parallel and Distribution Simulation Systems, John Wiley & Sons, 1999, ISBN:0471183830
Chopard, B.: Cellular Automata Modelling od Physical Systems, Cambridge University Press, 1998, ISBN:0-521-67345-3
Law, A., Kelton, D.: Simulation Modelling and Analysis, McGraw-Hill, 2000, ISBN 0-07-100803-9
Rábová, Z. a kol.: Modelování a simulace, VUT Brno, 1992, ISBN 80-214-0480-9
Ross, S.: Simulation, Academic Press, 2002, ISBN 0-12-598053-1
Soubor materiálů dostupný na WWW stránce předmětu.
Zeigler, B., Praehofer, H., Kim, T.: Theory of Modelling and Simulation, second edition, Academic Press, 2000, ISBN 0-12-778455-1
Zeigler B., Praehofer H., Kim T.: Theory of Modelling and Simulation, 2nd edition, Academic Press, 2000
Classification of course in study plans
- Programme IT-MSC-2 Master's
branch MBI , 0 year of study, summer semester, compulsory-optional
branch MBS , 0 year of study, summer semester, compulsory-optional
branch MGM , 0 year of study, summer semester, compulsory-optional
branch MIN , 1 year of study, summer semester, compulsory
branch MIS , 0 year of study, summer semester, elective
branch MMM , 0 year of study, summer semester, compulsory-optional
branch MPV , 0 year of study, summer semester, compulsory-optional
branch MSK , 0 year of study, summer semester, elective - Programme MITAI Master's
specialization NADE , 0 year of study, summer semester, elective
specialization NBIO , 0 year of study, summer semester, elective
specialization NCPS , 0 year of study, summer semester, elective
specialization NEMB , 0 year of study, summer semester, elective
specialization NGRI , 0 year of study, summer semester, elective
specialization NHPC , 0 year of study, summer semester, elective
specialization NIDE , 0 year of study, summer semester, elective
specialization NISD , 0 year of study, summer semester, elective
specialization NMAL , 0 year of study, summer semester, elective
specialization NMAT , 0 year of study, summer semester, elective
specialization NNET , 0 year of study, summer semester, elective
specialization NSEC , 0 year of study, summer semester, elective
specialization NSEN , 0 year of study, summer semester, elective
specialization NSPE , 0 year of study, summer semester, elective
specialization NVER , 0 year of study, summer semester, compulsory
specialization NVIZ , 0 year of study, summer semester, elective
specialization NISY up to 2020/21 , 0 year of study, summer semester, compulsory
specialization NISY , 0 year of study, summer semester, compulsory
Type of course unit
Lecture
Teacher / Lecturer
Syllabus
- Introduction. Theory of modelling and simulation.
- DEVS formalism.
- DEVS simulator.
- Simulation systems: classification, principles of design and implementation. Simulation control algorithms.
- Continuous simulation: numerical methods, stiff systems, algebraic loops. Dymola simulation system, Modelica language.
- Discrete simulation: implementation of calendar queue, events and processes. Queueing systems.
- Combined/hybrid simulation: state conditions and state events.
- Modelling of systems described by partial differential equations. Basics of sensitivity analysis.
- Digital systems simulation models and tools. Simulation and cellular automate.
- Parallel and distributed simulation.
- Models of uncertainty, using fuzzy logic in simulation. Qualitative simulation.
- Multimodels. Optimization methods in simulation. Visualization methods.
- Simulation experiment control, simulation results analysis. Introduction to model validation and verification. Simulation system implementation case study. Examples of simulation models.
Project
Teacher / Lecturer
Syllabus
- Individual solution of specified simulation problem, or extending of given simulation system to allow the use of new modelling methods.