The study course considers fundamental concepts of system modelling, i.e. the concept of computer modelling and standard procedure, modelling motivation and main principles, and model development and application aspects. The module discusses the essential principles of analytical modelling and types of analytical models used in practice, such as differential equations, difference equations, Boolean functions, logical expressions, finite automats, network models and Petri nets. The fundamentals and applications of system statistical modelling are considered. The structure of a computer simulation model and its main components are defined. Discrete event simulation methods for input modelling, time handling and process simulation, simulation on spreadsheets and simulation output analysis are considered. The systems dynamics approach is discussed. Main principles and methods for model testing and validation are given. Software modelling and add-on tools are reviewed.