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Key learning outcomes
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Acquisition of theoretical knowledge and practical skills for solutions in the following areas: optimal and suboptimal methods, process control, control of nonlinear dynamical systems with applications in automotive, motion control, intelligent robots, artificial intelligence, computer speech and image processing, advanced electric motors and their control, design of sophisticated measuring elements, technical diagnostics, design of electronic systems including their design, diagnosis of digital systems. Reliability modeling and risk assessment of operations and services, economic models for process control, application of optimization methods in solving technical problems. In the field of Science Engineering (experimental focus) dissertation are focused on the problems of power interaction of mechanical, thermal and electromagnetic fields, advanced laser measurement technology and experimental research in fluid dynamics, but also on the electromechanical properties of smart materials, their characterization and modern applications of smart materials in the function of sensors, actuators, resonators and microelectromechanical systems.
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