IE 304 – Systems Modeling

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IE 304 – Systems Modeling; Weekly hours: 0+2, ECTS: 4
The aim of the course is to provide knowledge on the development of simulation system models and ability to develop a simulation model for a given problem. This course provides the main concepts of modelling, which are state and state space, models of computation, concurrency, communication, modelling of data and time. The goal is to relate these concepts to applications and show the impact of the fundamental concepts on the potential and limitations of application techniques and tools, such as synthesis, performance analysis, and formal verification. After completing this course, students will be able to: Model a process and design of computer simulation model. Use the random number generator in a simulation model. Use random variable generator in a simulation model. Learn how to analyze simulation output using statistics. Verify and validate a simulation model. Learn how to compare system configurations for statistical analysis purposes. The curriculum includes the following themes: Introduction to Systems Modelling; Event driven models; System characterization and simulation diagrams; Dynamic systems; Stochastic generators; Non-uniform random variables; Characterization of random processes; Discrete systems; Modelling time-driven systems; Markov processes; Probabilistic systems and Discrete time Markov processes.