The M.Sc. course in Signals, Systems and Control provides the necessary academic, practical and professional knowledge for students to learn and achieve high-tech competencies and advanced technological skills in the interlinked areas of signal processing, system dynamics and automatic control systems.
These three areas are the crucial building blocks of modern engineering methodologies applied for the design, development, implementation and analysis of complex systems, ranging from engineering applications and industrial problems, to more mundane situations such as financial modelling and environmental control. In this course, one learns how to take a transdisciplinary approach to look out for, and capture, the similarities and structures of the dynamics of different systems and processes, how to extract useful information from typically large amounts of data generated by such systems, and how to optimise and control their behaviour. The course will cover the relevant theories, design methodologies and implementation techniques within the areas of system modelling, signal processing, dynamics and systems, automatic control, computer vision, machine learning and computational intelligence.
On course completion, these skills and knowledge could be applied across a wide range of professional areas such as system automation, process control, biomedical engineering, manufacturing, transport and robotics, to name but a few.
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