Title:  Modelling and Simulation 

Code:  MSD 

Ac.Year:  2010/2011 (Not opened) 

Term:  Winter 

Curriculums:  

Language:  Czech 

Completion:  examination (written) 

Type of instruction:  Hour/sem  Lectures  Sem. Exercises  Lab. exercises  Comp. exercises  Other 

Hours:  39  0  0  9  0 

 Examination  Tests  Exercises  Laboratories  Other 

Points:  0  0  0  0  0 



Guarantee:  Zbořil František V., doc. Ing., CSc., 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 techniques for modelling and
simulation of various types of models will be presented. Special
attention is paid to advanced simulation techniques including
artificial intelligence.
 Description: 

  Simulation systems and their classification. Design and implementation of
simulation systems. Special types of models. Multimodeling, multisimulation. Parallel and distributed
simulation. Knowledgebased simulation, model optimization. Realtime and interactive simulation.
 Subject specific learning outcomes and competences: 

  The basics of modelling and simulation theory.
Understanding the principles of simulation system implementation. Knowledge of advanced simulation techniques.  Generic learning outcomes and competences: 

  Create, verify, and validate simulation models.
 Syllabus of lectures: 

  Introduction. Types of problems, which can be solved using simulation methods. Dynamical systems theory.
 Architectures of simulation systems and their classification. Principles of
simulation system design and implementation.
 Modeling and SimulationBased Development of Systems. Hardwareintheloop, Humanintheloop, Model continuity.
 Multimodels, multiparadigm modeling and simulation, multiresolution modeling and simulation. Architectures of simulators.
 Examples of multiparadigm modeling: Processes, FSA, Petri nets, DEVS.
 Objectoriented and component approaches to modeling and simulation.
 Parallel and distributed simulation.
 Anticipatory systems. Nested simulation. Reflective simulation.
 Architectures for multisimulations. Cloning, independent time axes.
 Optimization, adaptation, learning.
 Modeling and simulation of intelligent systems. Sftcomputing and simulation.
 Architectures for multiagent simulations. Compex systems simulation.
 Visualization. Interactive simulation.
 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.
 Fundamental literature: 

  Fishwick P.: Simulation Model Design and Execution, PrenticeHall, 1995
 Law A., Kelton D.: Simulation Modelling and Analysis, McGrawHill, 1991
 Ross S.: Simulation, Academic Press, 2002
 Zeigler B., Kim T., Praehofer H.: Theory of Modeling and Simulation.
Academic Press Inc.,U.S.; 2nd Edition edition. 2000. ISBN: 0127784551
 Sarjoughian H., Cellier F.: Discrete Event Modeling and Simulation
Technologies: A Tapestry of Systems and AIBased Theories and
Methodologies. SpringerVerlag New York Inc. 2001. ISBN: 0387950656
 Study literature: 

  Fishwick P.: Simulation Model Design and Execution, PrenticeHall, 1995
 Law A., Kelton D.: Simulation Modelling and Analysis, McGrawHill, 1991
 Didier H. Besset: ObjectOriented Implementation of Numerical
Methods: An Introduction with Java & Smalltalk, Morgan Kaufmann,
2000
 Zeigler B., Kim T., Praehofer H.: Theory of Modeling and Simulation.
Academic Press Inc.,U.S.; 2nd Edition edition. 2000. ISBN: 0127784551
 Sarjoughian H., Cellier F.: Discrete Event Modeling and Simulation
Technologies: A Tapestry of Systems and AIBased Theories and
Methodologies. SpringerVerlag New York Inc. 2001. ISBN: 0387950656
 
