Introduction to the Internet of Things, Examples of mobile and embedded systems, and sensors, Sensing Pipelines, Signal Processing for sensor data, Machine Learning for sensing, System Considerations, Networking for IoT, Energy preservation, Privacy in Sensing, Embedded Sensing Architectures, On-device sensing on smartphones, Sensing with purpose-built devices on the edge, Wearable devices, Edge/Cloud Computing in Sensing, Remote inference, Offloading computations, Prominent Applications
SU Credits : 3.000
ECTS Credit : 6.000
Prerequisite :
Undergraduate level CS 204 Minimum Grade of D
Corequisite :
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