EE50235: Autonomous systems engineering
Academic Year: | 2019/0 |
Owning Department/School: | Department of Electronic & Electrical Engineering |
Credits: | 6 [equivalent to 12 CATS credits] |
Notional Study Hours: | 120 |
Level: | Masters UG & PG (FHEQ level 7) |
Period: |
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Assessment Summary: | EX 100% |
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Description: | Aims: To introduce students to the key elements of autonomous systems design. To introduce key concepts in understanding, designing and critically appraising autonomous systems. To provide key skills in implementing autonomous systems. Learning Outcomes: Design, validate and critically appraise autonomous systems (EP3, ET3, ET4, DP1, SM3). Compare, contrast and evaluate autonomous systems design techniques and technologies (EP1, EP2, EA3). Use a range of established and new techniques to design autonomous systems (ET5, EA1, EA2). Skills: Numeracy: Design digital systems (T,F,A) Using IT effectively: Simulators and design tools (T,F,A) Research and Analysis: evaluating designs critically (T,F,A) Independent Working (T, F, A) Problem Solving (T, F,A) Content: Autonomy and control algorithms * advanced automation. * safety and fault tolerance. * guidance, navigation, command and control. * intelligent systems (e.g. sense and avoid, sense and follow). Power optimisation: * energy storage and management for vehicle platforms. Sensing technologies: * object detection and recognition. * basic imaging and signal processing. |
Programme availability: |
EE50235 is Compulsory on the following programmes:Department of Computer Science
EE50235 is Optional on the following programmes:Department of Computer Science
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