Undergraduate - UnitTRC3500 - Sensors and artificial perception

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Synopsis

The unit provides an introduction to transducer principles and the background to classify them in terms of performance and characteristics. A range of commonly available sensors are considered. Electronic components and data acquisition/digital signal processing software used in sensor systems are examined. Advanced sensory systems and associated programming techniques are introduced using robotic systems as an example domain.

Outcomes

The student is expected to acquire an understanding of transducer principles and to be able to evaluate sensors in terms of their performance and characteristics. They should be able to develop a complete sensory system including specifying the electronic components required and programming data acquisition and signal processing functions. Students should gather an appreciation of advanced sensory techniques used in robotics and be familiar with their implementation and programming requirements.

Assessment

Examination (3 hours): 70%
Laboratory work: 20%
Written assignments: 10%

Students are required to achieve at least 45% in the total continuous assessment component (Laboratory reports, mid-semester exams) and at least 45% in the final examination component and an overall mark of 50% to achieve a pass grade in the unit. Students failing to achieve this requirement will be given a maximum of 45% in the unit.

Chief examiner(s)

Professor Jamie Evans

Contact hours

3 hours lectures, 3 hours laboratory/practice classes and six hours of private study per week.

Prerequisites

TRC2500, ECE2061

Co-requisites

TRC3300

Prohibitions

ECE4306, GSE3801