Course detail
Modelling and Simulation
FIT-MSDAcad. year: 2017/2018
Simulation systems and their classification. Design and implementation of
simulation systems. Special types of models. Multimodeling, multisimulation. Parallel and distributed
simulation. Knowledge-based simulation, model optimization. Realtime and interactive simulation.
Language of instruction
Mode of study
Guarantor
Department
Learning outcomes of the course unit
Create, verify, and validate simulation models.
Prerequisites
Co-requisites
Planned learning activities and teaching methods
Assesment methods and criteria linked to learning outcomes
Course curriculum
- 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 Simulation-Based Development of Systems. Hardware-in-the-loop, Human-in-the-loop, Model continuity.
- Multimodels, multiparadigm modeling and simulation, multiresolution modeling and simulation. Architectures of simulators.
- Examples of multiparadigm modeling: Processes, FSA, Petri nets, DEVS.
- Object-oriented 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.
- Individual solution of specified simulation problem, or extending of given simulation system to allow the use of new modelling methods.
Syllabus - others, projects and individual work of students:
Work placements
Aims
Specification of controlled education, way of implementation and compensation for absences
Recommended optional programme components
Prerequisites and corequisites
Basic literature
Recommended reading
Classification of course in study plans
Type of course unit
Lecture
Teacher / Lecturer
Syllabus
- 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 Simulation-Based Development of Systems. Hardware-in-the-loop, Human-in-the-loop, Model continuity.
- Multimodels, multiparadigm modeling and simulation, multiresolution modeling and simulation. Architectures of simulators.
- Examples of multiparadigm modeling: Processes, FSA, Petri nets, DEVS.
- Object-oriented 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.