Modelling and Simulation

• 39 hrs lectures
• 6 hrs exercises
• 7 hrs projects

Knowledge of simulation principles. The ability to create simulation models of various types. Basic knowledge of simulation system principles.

The goal is to introduce students to basic simulation methods and tools for modelling and simulation of continuous, discrete and combined systems.

• Introduction to Programming Systems (IZP)
• Algorithms (IAL)
• Signals and Systems (ISS)
• Algorithms (IAL)

Basic knowledge of numerical mathematics, probability and statistics, and basics of programming.

• Fishwick P.: Simulation Model Design and Execution, PrenticeHall, 1995, ISBN 0-13-098609-7 Law A., Kelton D.: Simulation Modelling and Analysis, McGraw-Hill, 1991, ISBN 0-07-100803-9 Ross, S.: Simulation, Academic Press, 2002, ISBN 0-12-598053-1

• Introduction to modelling and simulation. System analysis, clasification of systems. System theory basics, its relation to simulation.
• Model classification: conceptual, abstract, and simulation models. Heterogeneous models. Methodology of model building.
• Simulation systems and languages, means for model and experiment description. Principles of simulation system design.
• Parallel process modelling. Using Petri nets and finite automata in simulation.
• Models o queuing systems. Discrete simulation models. Model time, simulation experiment control.
• Continuous systems modelling. Overview of numerical methods used for continuous simulation.
• Combined simulation. The role of simulation in digital systems design.
• Special model classes, models of heterogeneous systems.
• Checking model validity, verification of models. Analysis of simulation results.
• Simulation results visualization. Interactive simulation, virtual reality.
• Design and control of simulation experiments. Model optimization.
• Generating, transformation, and testing of pseudorandom numbers. Stochastic models, Monte Carlo method.
• Overview of commonly used simulation systems.

1. discrete simulation: using Petri nets
2. discrete simulation: using SIMLIB/C++
3. continuous simulation: differential equations, block diagrams, examples of models in SIMLIB/C++

Study evaluation is based on marks obtained for specified items. Minimimum number of marks to pass is 50.

project, midterm exam