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Sensors and artificial perception
TRC3500
Synopsis
The unit provides an introduction to the principles of sensing circuits and the inferential techniques required to deploy them for applications in artificial perception. We survey the components of a basic sensor’s circuit architecture in the context of a range of sensing technologies and provide hands-on practice in their construction and characterisation. Applications in biomedical technology, robotics and automation are considered alongside a theoretical framework for understanding the complexity of data collected in real-world environments. You will gain an appreciation for how decisions in circuit design and signal processing impact artificial sensation and perception in practice.
Sourced from the Monash Handbook 2026.
Quick facts
- Credit points
- 6
- Level
- 3
- Audience
- Undergraduate
- Type
- Coursework
- School
- Faculty of Engineering
- Faculty
- Department of Electrical and Computer Systems Engineering
- Handbook year
- 2026
Prerequisites (4)
- ECE2031ECE2031
- Systems programmingECE2071
- Electrical circuitsECE2131
- Fundamentals of algorithmsFIT1008
What it unlocks (3)
Offerings (2)
- First semesterMalaysia · ON-CAMPUS / Clayton · FLEXIBLE
Listed in 10 areas of study
- Biomedical engineeringBiomedical devices stream
- Chemical engineeringChemical engineering technical electives
- Electrical and computer systems engineeringElectrical and computer systems engineering technical electives
- Electric vehicle technologyElectives
- Internet of Things (IoT)Studying electrical and computer systems engineering specialisation
- Mechanical engineeringMechanical engineering technical electives
- Networks for connectivityStudying electrical and computer systems engineering specialisation
- Robotics and mechatronics engineeringPart C. Robotics and mechatronics engineering knowledge and application
- Smart manufacturingStudying electrical and computer systems engineering specialisation
- Sensory systems in Industry 4.0Core units