Sensors
Module code: EEU33C11 · Semester: Semester 2
Resources
Questions by Year
Topics
- Sensor classification, sensing principles and metrics (linearity, noise, sensitivity, accuracy, resolution) LO1
- R, L, C components and modelling magnetic fields in MATLAB LO1
- Frequency response and transfer functions; LC resonators, MEMS and wearables LO2
- Safety: specific absorption rate, electrical and magnetic safety, MRI sensors LO5
- Power: low-power design, energy harvesting, conversion; RF and piezoelectric transducers LO3
- Signal conditioning: amplification, linearisation, filtering; loop antennas and decoupling LO3
- Sensor design: edge vs central processing, calibration, gold standards, ISO 13485, IEC 62304, verification LO4–5
- Data ownership, privacy, surveillance and environmental sensing LO5
Learning outcomes
- Apply quasi-static electromagnetic theory to design active and passive sensors, with field simulation
- Characterise sensors in the frequency domain
- Specify signal conditioning: power, amplification, A/D conversion and filtering
- Develop and review calibration and test methods for sensors
- Evaluate security, privacy and societal aspects of sensor designs and pick relevant standards