Fundamentals of Computer Simulation and Modelling

Course goal

The aim of the study course is to provide the basics of system modelling and simulation.

The aims of the study course are:

• to acquaint with the basic concepts of system modelling, theoretical aspects of model design and application, main principles and methods of system computer simulation;
• to teach to formulate the purpose of modelling and requirements for the system model, to choose the most appropriate type of model;
• to teach to design a simulation model of the system with the general simulation modelling software;
• to apply it for the analysis and optimisation of the system operation.

Course learning outcomes

after completing the course, the participant

• Is able to interpret and use system modelling terminology.
• Is able to interpret and use analytical models of complex systems.
• Is able to interpret and use system statistical (simulation) techniques.
• Is able to develop simple simulation models and use them in order to analyse and improve system behaviour.
• Is able to identify an appropriate model type for a specific problem.
• Is able to describe different analytical and algorithmic models and their application aspects in system modelling and analysis.

Course requirements

Basic knowledge in mathematics, discrete mathematics, probability theory and mathematical statistics.

Course topics

• The concept of a complex system
• About discrete-event simulation
• Manual simulation examples
• Statistical models (2 parts)
• Generation of random factors
• Analysis of simulation results (3 parts)
• Validation of simulation models