Title:  Simulation Tools and Techniques 

Code:  SNT 

Ac.Year:  2005/2006 

Sem:  Summer 

Curriculums:  

Language of Instruction:  Czech 

Public info:  http://www.fit.vutbr.cz/study/courses/SNT/public/ 

Credits:  5 

Completion:  examination (written) 

Type of instruction:  Hour/sem  Lectures  Seminar Exercises  Laboratory Exercises  Computer Exercises  Other 

Hours:  39  0  0  0  13 

 Exams  Tests  Exercises  Laboratories  Other 

Points:  60  0  0  0  40 



Guarantor:  Češka Milan, prof. RNDr., CSc. (DITS) 

Lecturer:  Peringer Petr, Dr. Ing. (DITS) 
Instructor:  Hrubý Martin, Ing., Ph.D. (DITS) 

Faculty:  Faculty of Information Technology BUT 

Department:  Department of Intelligent Systems FIT BUT 

 Learning objectives: 

  Students will be introduced to design and implementation principles of
simulation systems. Further, the methods and techniques for modelling
and simulation of various types of models will be presented.  Description: 

  Theory of modelling and simulation, DEVS (Discrete Event System
Specification) formalism. Simulation systems, their design and
implementation. Algorithms used for simulation control, 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.
Modelling of systems described by partial differential equations.
Multimodels. Knowledgebased simulation. Model validation and
verification. Simulation experiment control. Simulation results
analysis and visualization. Simulation system case study.  Knowledge and skills required for the course: 

  Basic knowledge of modelling, simulation, algorithms, and numerical mathematics.
 Learning outcomes and competencies: 

  The basics of modelling and simulation theory. Understanding the
principles of simulation system implementation. Knowledge of advanced
simulation methods and techniques.  Syllabus of lectures: 


 Introduction. Types of problems, which can be solved using
simulation methods. Theory of modelling and simulation, DEVS formalism.
 Simulation systems: classification, principles of design and
implementation. Simulation control algorithms. Parallel and distributed
simulation.
 Continuous simulation: numerical methods, stiff systems, algebraic loops.
 Discrete simulation: implementation of events and processes. Queueing systems.
 Combined simulation: state events.
 Modelling of systems described by partial differential equations. Basics of sensitivity analysis.
 Digital systems simulation models and tools.
 Cellular automata. Traffic systems simulation.
 Models of uncertainty, using fuzzy logic in simulation. Knowledgebased simulation.
 Multimodels. Model optimization methods. Qualitative simulation.
 Simulation experiment control, simulation results analysis. Theoretical foundations of model validation and verification.
 Modern visualization methods. User interfaces of simulation systems. Simulation and virtual reality.
 Simulation system implementation case study. Examples of simulation models.
 Syllabus  others, projects and individual work of students: 

 Individual solution of specified simulation problem or make extension
to given simulation system to allow the use of new modelling methods.  Fundamental literature: 


 Fishwick, P.: Simulation Model Design and Execution, Prentice Hall, 1995, ISBN 0130986097
 Law, A., Kelton, D.: Simulation Modelling and Analysis, McGrawHill, 2000, ISBN 0071008039
 Zeigler, B., Praehofer, H., Kim, T.: Theory of Modelling and
Simulation, second edition, Academic Press, 2000, ISBN 0127784551
 Ross, S.: Simulation, Academic Press, 2002, ISBN 0125980531
 Study literature: 


 Fishwick, P.: Simulation Model Design and Execution, Prentice Hall, 1995, ISBN 0130986097
 Texts and links available online at WWW page.
 Controlled instruction: 

  Project is individual work checked at due date.  
