Course details

# Simulation Tools and Techniques

SNT Acad. year 2015/2016 Summer semester 5 credits

Guarantor

Language of instruction

Completion

Time span

Assessment points

Department

Lecturer

Instructor

Subject specific learning outcomes and competences

Generic learning outcomes and competences

Learning objectives

Prerequisite kwnowledge and skills

Study literature

- Rábová Z. a kol.: Modelování a simulace, VUT Brno, 1992, ISBN 80-214-0480-9
- Cellier, F., Kofman, E.: Continuous System Simulation, Springer, 2006, ISBN: 978-0-387-26102-7
- Fishwick, P.: Simulation Model Design and Execution, Prentice Hall, 1995, ISBN 0-13-098609-7
- Zeigler B., Praehofer H., Kim T.: Theory of Modelling and Simulation, 2nd edition, Academic Press, 2000
- Slides available online at WWW page.

Fundamental literature

- Fishwick, P.: Simulation Model Design and Execution, Prentice Hall, 1995, ISBN 0-13-098609-7
- Law, A., Kelton, D.: Simulation Modelling and Analysis, McGraw-Hill, 2000, ISBN 0-07-100803-9
- Zeigler, B., Praehofer, H., Kim, T.: Theory of Modelling and Simulation, second edition, Academic Press, 2000, ISBN 0-12-778455-1
- Ross, S.: Simulation, Academic Press, 2002, ISBN 0-12-598053-1
- Cellier, F., Kofman, E.: Continuous System Simulation, Springer, 2006, ISBN: 978-0-387-26102-7
- 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

Syllabus of lectures

- Introduction. Theory of modelling and simulation, DEVS formalism.
- DEVS simulator.
- Simulation systems: classification, principles of design and implementation. Simulation control algorithms.
- Parallel and distributed simulation.
- Continuous simulation: numerical methods, stiff systems, algebraic loops. Dymola simulation system, Modelica language.
- Discrete simulation: implementation of 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.
- Models of uncertainty, using fuzzy logic in simulation. Qualitative simulation.
- Multimodels. Optimization methods in simulation.
- Simulation experiment control, simulation results analysis. Introduction to model validation and verification. Visualization methods. User interfaces of simulation systems.
- Simulation system implementation case study. Examples of simulation models.

Syllabus - others, projects and individual work of students

- Individual solution of specified simulation problem, or extending of given simulation system to allow the use of new modelling methods.

Controlled instruction

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.

can be obtained from the final exam is 30. Otherwise,

no points will be assigned to a student.

Exam prerequisites

Course inclusion in study plans

- Programme IT-MSC-2, field MBI, any year of study, Compulsory-Elective group I
- Programme IT-MSC-2, field MBS, any year of study, Compulsory-Elective group B
- Programme IT-MSC-2, field MGM, MMI, MMM, any year of study, Compulsory-Elective group M
- Programme IT-MSC-2, field MIN, 1st year of study, Compulsory
- Programme IT-MSC-2, field MIS, MSK, any year of study, Elective
- Programme IT-MSC-2, field MPV, 1st year of study, Compulsory-Elective group C