ECE 479 - IoT and Cognitive Computing
|IoT and Cognitive Computing||ECE479||AB1||73609||LAB||0||1000 - 1150||M||4022 Electrical & Computer Eng Bldg||Junhao Pan|
|IoT and Cognitive Computing||ECE479||AB2||73610||LAB||0||1300 - 1450||M||4022 Electrical & Computer Eng Bldg||Gregory Jun|
|IoT and Cognitive Computing||ECE479||AB3||73611||LAB||0||1600 - 1750||M||4022 Electrical & Computer Eng Bldg||Yuhong Li|
|IoT and Cognitive Computing||ECE479||AL||73445||LEC||4||1100 - 1220||T R||1310 Digital Computer Laboratory||Deming Chen|
Offers in-depth coverage on existing and emerging IoT and cognitive computing topics. Detailed topics include definition and characteristics of IoT; IoT enabling technologies; smart domains and applications; IoT systems; IoT design methodology; machine learning and deep learning; embedded GPU and FPGA for IoT; IoT servers and cloud; data analytics for IoT; cognitive computing; cognitive systems design; cognitive application workloads; IoT security; hands-on learning experience to build IoT systems; and various case studies such as smart city, smart home, and IoT for healthcare. Three lab-based machine problems working with actual IoT computing devices together with homework assignments will be given to reinforce students' understanding and learning of the techniques and topics. Course Information: 4 undergraduate hours. 4 graduate hours. Prerequisite: ECE 220 or CS 225.