ECE 479
ECE 479 - IoT and Cognitive Computing
Spring 2024
| Title | Rubric | Section | CRN | Type | Hours | Times | Days | Location | Instructor |
|---|---|---|---|---|---|---|---|---|---|
| IoT and Cognitive Computing | ECE479 | AB1 | 73609 | LAB | 0 | 1000 - 1150 | M | 4022 Electrical & Computer Eng Bldg | Neo Yuan |
| IoT and Cognitive Computing | ECE479 | AB2 | 73610 | LAB | 0 | 1300 - 1450 | M | 4022 Electrical & Computer Eng Bldg | Yuhong Li |
| IoT and Cognitive Computing | ECE479 | AB3 | 73611 | LAB | 0 | 1600 - 1750 | M | 4022 Electrical & Computer Eng Bldg | Gregory Jun Junhao Pan |
| IoT and Cognitive Computing | ECE479 | AL | 73445 | LEC | 4 | 1100 - 1220 | T R | 114 Transportation Building | Deming Chen |
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Official Description
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.