Datasheet

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Courseware Contents
Teaching slides
The teaching slides are editable and cover 36+ hours of teaching for one full semester�
The slides cover the following topics:
Overview of
Internet-of-Things (IoT)
System
Introduction to the architecture of an IoT system, applications of IoT and
future trends, IoT building blocks and enabling technologies, industrial
design challenges for IoT applications
Essentials of Power
Circuits
Overview of commonly used power circuits in IoT embedded system,
electronic devices used in power circuits, linear converter and regulator,
DC-DC converters, feedback control in DC-DC converters, battery
management circuits, power management integrated circuits (PMIC),
voltage reference
Fundamentals of Power
Measurement
DC power measurement techniques (shunt resistor, hall-effect sensor),
dynamic power measurement, (idle, active, communication and sleep
mode), battery rundown test, estimating battery lifetime: design
considerations
Power Management
Techniques
Low power circuit design in IoT embedded system, power management
techniques (dynamic voltage and frequency scaling), dynamic power
management (DPM): software – hardware co-design, energy harvesting
for IoT sensor nodes: challenges and design considerations
Overview of Sensor
Technology
Classication of sensor technologies, critical parameters in selecting
the right sensor for applications, operating principles and performance
evaluation of the sensors with specic focus on MEMS sensors
Sensor Measurement
Techniques
Sensor data acquisition, excitation techniques, current sensing
techniques, current sensors based on Ohm’s law and Faraday’s law,
signal conditioning processes, analog-to-digital converter (ADC), test
challenges for IoT smart sensors.
Sensor in Action Introduction of inertial measurement unit (IMU), difference between
gyroscope and accelerometer, gyroscope and accelerometer selection
guide, gyroscope and accelerometer errors and their consequences,
measuring tilt angle with gyroscope and accelerometer, advanced sensor
fusion with Kalman ltering
Case Studies Low power sensor node in home automation, design challenges of
low-power weather monitoring system with energy harvesting technolo-
gy, application of drones to smart agriculture, efcient data aggregation
and processing for wearable sensors