ELEC 879 Wearable and IoT Computing
This course focuses on recent advances and computing trends in wearable technologies, mobile devices, the Internet of Things (IoT), smart homes, and smart vehicles. The history, background, and applications of these systems are reviewed, followed by the description of common sensing technologies often utilized in these devices. Signal/time-series analysis techniques, machine learning algorithms, and computing methods that are often utilized in such applications will be covered in detail. The course is highly applied and students will complete a project and present their results.
Electrical and Computer Engineering
The Department of Electrical and Computer Engineering is housed in Walter Light Hall which provides over 5,400 square meters of modern research, teaching and classroom facilities. The building is linked to Goodwin Hall which houses the School of Computing. Additional space for undergraduate laboratories and research is located in Beamish-Munro Hall.
Electrical Engineering (ELEC)
https://www.queensu.ca/academic-calendar/graduate-studies/courses-instruction/elec/
All courses except ELEC 898 , ELEC 899 and ELEC 999 are 3.0 credit units. Not all courses are offered every year.