The graduate of the course will gain knowledge in the field of using hybrid computational intelligence (HVI) tools based on fuzzy sets, artificial neural networks and genetic algorithms for the needs of modeling and control. To this end, the graduate will gain the necessary theoretical knowledge about intelligent control structures, methods of adaptation and optimization of HVI parameters, which include, among other things, methods of description, modeling, simulation, optimization and control of systems using HVI tools. With the help of assigned projects, the graduate of the course will practically acquire the ability to develop and design their own solutions to problems, use the acquired knowledge and make effective decisions in the selection and use of appropriate tools, within which they will learn to maintain contact with the development of the field.