This course aims to develop advanced knowledge of the traditional and modern systems and control techniques being used to reduce costs and maximise efficiency, performance and safety. It is underpinned by robust system identification and testing, using mathematical modelling of inputs, outputs and various behaviours. Within the context of a changing technological environment and the resulting challenges, such as increase reliance on automation in industry, electrification of vehicle and system automation. You’ll learn various ways in which you can control the behaviour of dynamic phenomena and systems in interaction with their environment, developing skills and gaining practical experience in the design, analysis, modelling and testing of control systems. This course is also accredited by Institute of Measurement and Control (InstMC). The achievement of learning outcomes for most of the taught modules is assessed by a combination of coursework assignments, plus University examinations set in January or May. Examinations count for 50%-60% of assessment in the first stage of the programme, depending on the options chosen; the remainder being largely project work and pieces of coursework. On successful completion, you should be able to: demonstrate knowledge and understanding of control engineering and the constituent components of a control system and analyse the behaviour using appropriate mathematical tools; assess the performance of a system via simulation and interpret the results quantitatively, e.g. numerically and/or statistically; evaluate and implement control algorithms and know their practical limitations; understand and conceptualise a given complex problem and produce an appropriate model to generalise at a higher level of abstraction.