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Automatic Control Systems and Engineering

Students concentrate on a single substantial thesis within 1 of the core research areas: intelligent systems and control: intelligent systems modelling and control systems design; evolutionary computing; optimisation and decision support; intelligent fault handling; neural fuzzy systems; machine learning; learning control; nonlinear systems: signal processing and control; nonlinear systems (modelling; identification; analysis and design); signal processing and complex systems; space systems data modelling and instrumentation; adaptive signal processing; nonlinear control systems design.

Course modules

Autonomous Systems and Robotics Group;
Complex Systems and Signal Processing;
Intelligent Systems, Decision and Control.

Assessment methods

Assessment is by thesis.

Qualifications

Qualification Study mode Start month Fee Fee locale Course duration
Doctor of Philosophy - PhD Part-time September 2017 6 Years
Master of Philosophy - MPhil Full-time September 2017 2 Years
Doctor of Philosophy - PhD Full-time September 2017 3 Years
Master of Philosophy - MPhil Part-time September 2017 4 Years

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