CS 498 DV2 - ML in Wireless Networks
Last offered Fall 2021
Subject offerings of new and developing areas of knowledge in computer science intended to augment the existing curriculum. See Class Schedule or departmental course information for topics and prerequisites. Course Information: 1 to 4 undergraduate hours. 1 to 4 graduate hours. May be repeated in the same or separate terms if topics vary.
For up-to-date information about CS course restrictions, please see the following link: http://go.cs.illinois.edu/csregister Wireless Networks like 5G, Wi-Fi, and LoRa form a backbone for modern computing systems including Internet of Things, smartphones, audio-visual communication, etc. Modern wireless networks are increasingly being transformed by Machine Learning approaches. This course will focus on this intersection of machine learning with wireless networks. Specifically, this course will discuss some primitives of wireless networks (communication, sensing, positioning) and how these primitives are being transformed by modern Machine Learning technologies. Students will also learn about applications of wireless networks in different domains like robotics, agriculture, satellites, and healthcare. The course assumes some basic knowledge of linear algebra and Machine Learning, so a prior course in either of these domains is preferred for students taking this class. Prerequisite C
|ML in Wireless Networks||DV2||52151||L2||4||1400 - 1515||T R||1310 Digital Computer Laboratory||Deepak Vasisht|