ECE 479
Spring 2024 All Classes
Credit: 4 hours.
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.
4 undergraduate hours. 4 graduate hours. Prerequisite: ECE 220 or CS 225.
| CRN | Type | Section | Time | Day | Location | Instructor | Section Details | |
|---|---|---|---|---|---|---|---|---|
|
73609
|
Laboratory
|
AB1
|
10:00AM
-11:50AM
|
M
|
4022 Electrical & Computer Eng Bldg
|
Yuan, N
|
|
|
|
73610
|
Laboratory
|
AB2
|
1:00PM
-2:50PM
|
M
|
4022 Electrical & Computer Eng Bldg
|
Li, Y
|
|
|
|
73611
|
Laboratory
|
AB3
|
4:00PM
-5:50PM
|
M
|
4022 Electrical & Computer Eng Bldg
|
Jun, G
Pan, J |
|
|
|
73445
|
Lecture
|
AL
|
11:00AM
-12:20PM
|
TR
|
114 Transportation Building
|
Chen, D
|
|