TRC3500 - Sensors and artificial perception - 2019

6 points, SCA Band 2, 0.125 EFTSL

Undergraduate - Unit

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.



Organisational Unit

Department of Electrical and Computer Systems Engineering

Chief examiner(s)

Professor Tom Drummond


Dr Jonathan Li (Clayton)
Dr Mohd Abdus Samad Kamal & Dr Tan Wen Shan (Malaysia)

Unit guides



  • First semester 2019 (On-campus)


  • First semester 2019 (On-campus)


(ECE2031Not offered in 2019 or ECE2131 or ECE2061) and (ECE2071 or FIT1008 or (FIT1029 and FIT1040))


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.


At the successful completion of this unit you will be able to:

  1. Appraise sensors in terms of their performance and characteristics, and apply transducer principles.
  2. Construct a complete sensory system including specifying the electronic components required.
  3. Describe sensory techniques as used in robotics and implement these concepts.
  4. Design, construct and debug a small microprocessor system that is capable of interfacing to a series of different inputs and outputs.
  5. Construct appropriate software and test processes to produce industry-ready products.


Continuous assessment: 60%

Examination: (2 hours) 40%

Students are required to achieve at least 45% in the total continuous assessment component (assignments, tests, mid-semester exams, laboratory reports) 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.

Workload requirements

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

See also Unit timetable information