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EE5437 - Internet of Things Technologies for Future City Applications

Offering Academic Unit
Department of Electrical Engineering
Credit Units
3
Course Duration
One Semester
Pre-cursor(s)
EE2004 or EE3220 or courses related to firmware coding on MCU
Course Offering Term*:
Semester A 2024/25

* The offering term is subject to change without prior notice
 
Course Aims

Hong Kong aims to be built into a world class smart city through adopting the measures set out in the Smart City Blueprint 2.0 for Hong Kong. There are six major areas including 1) Smart Mobility, 2) Smart Living, 3) Smart Environment, 4) Smart People, 5) Smart Government, and 6) Smart Economy. This course aims to provide students with a fundamental understanding of Internet of Things (IoT) technologies including sensors, electronics, communication (e.g. 5G), networking, data processing, cloud computing, Artificial Intelligence, etc.. IoT is the key technology for Smart City future applications / Future City applications.

This course will introduce the concept, framework, and IoT technologies of smart cities in the above areas, as well as course project integrating with several assignments to offer practical skills training. Throughout the course, students will learn the IoT technologies in designing and implementing solutions for future smart and sustainable cities. Students are encouraged to learn practical skills to adopt technological solutions to their proposed smart city applications to further develop their innovation. Students will learn these topics through lectures, assignments, self-study, project, and presentation.


Assessment (Indicative only, please check the detailed course information)

Continuous Assessment: 50%
Examination: 50%
To pass the course, students are required to achieve at least 30% in course work and 30% in the examination. Also, 75% laboratory attendance rate must be obtained.
# may include homework, tutorial exercise, project/mini-project, presentation
Examination Duration: 2 hours
 
Detailed Course Information

EE5437.pdf

Useful Links

Department of Electrical Engineering