The course gives an overview of devices and techniques that are used in sensors and electronic systems for Internet-of-Things. The course targets applications impacting on people (monitoring of physiological parameters), on their interaction with their environment (home, workplace) as well as on advanced industrial technologies (automotive, smart machinery and production equipment).
Fundamentals of sensors and mixed-signal microelectronics for IoT systems.
Passive and active infrared (IR) sensors, microphones, cameras,
GPS, accelerometers, ultrasonic sensors,.
Signal conditioning: low-noise amplifiers, filtering. Signal sampling: aliasing, FFT analysis
Analog-to-digital conversion: quantization noise, effective number of bits. DSP: digital filtering, FFT
Microcontrollers and FPGA: architecture and embedded firmware
Wireless communication techniques, protocols and networks for IoT systems (Bluetooth, LoRaWAN)
Classroom lectures, experimental activities in the electronics lab
Oral exam at the end of the course.