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Topics of networked embedded computing technology, known as the Internet of Things, in application, distributed, human-centric, or social contexts. The tight coupling between people, networking protocols, computing elements, and physical things in IoT systems presents unique challenges for data collection, processing in constrained computation and communication environments. Introduces general principles of IoT systems and protocol, offers broad foundations for IoT services, and allows specialization to pursue an in-depth understanding of selected IoT aspects or subtopics. Course Information: 3 undergraduate hours. 4 graduate hours. May be repeated if topics vary. Credit towards a degree from multiple offerings of this course is not given if those offerings have significant overlap, as determined by the CS department. Prerequisite: CS 241 or CS 341. Additional prerequisites may be specified each term. See section information.

This course explores the foundations of wireless sensing for IoT through hands-on experimentation with real-world smart wireless systems that can sense people, devices, and objects. Students will perform bi-weekly projects in the IoT lab, building, analyzing, and evaluating WiFi-based sensing solutions that are widely used in real-world applications (smart homes , self-driving cars, health monitoring, metaverse, and mixed reality systems) - Course Website: https://courses.grainger.illinois.edu/cs437eks/fa2024/CS437EkS.htm For up-to-date information about CS course restrictions, please see the following link: http://go.cs.illinois.edu/csregister