Professor |
Chenshu Wu
|
Teaching assistant |
Sheng Lyu
|
Syllabus |
This course introduces basic concepts, technologies, and applications of the
Internet of Things (IoT), with a focus on smart sensing. The course features
various topics on sensors and sensing techniques that enable ubiquitous
sensing intelligence for IoT devices, and connects them to exciting
applications in smart homes, healthcare, security, etc. The lectures
introduce topics like localization, mobile sensing, wireless sensing,
acoustic sensing and their applications. |
Introduction by Professor |
We are rapidly moving toward a pervasively
connected and sensed world of AIoT (Artificial Intelligence of Things),
where objects, machines, humans, and data will be all connected to shape an
ecosystem of intelligence. At the core of many IoT applications is not only
connectivity but also sensing capability to bridge the physical world and
cyber space. Today's computers, despite their powerful computing and
networking capabilities, still lack effective sensing of the physical world
to make possible revolutionary applications for smart homes, digital health,
autonomous vehicles, cybersecurity. This course presents an introduction to
the AIoT and covers the concepts, principles, and applications of Sensing
AI, a core building block of omnipresent machine perception towards AIoT.
Background in wireless communications, signal processing, sensing, etc., is
welcome but not required. |
Learning Outcomes |
|
Pre-requisites |
Nil |
Compatibility |
Nil |
Prior knowledge expected |
It can be useful, but not required, if students have some background in signal processing, wireless communications, and/or embedded systems. |
Topics covered |
|
Assessment |
|
Course materials |
Prescribed textbook: N/A
- Lectures, notes
- Online papers
|
Session dates |
|
Add/drop |
1 September, 2022 - 15 September, 2022 |
Maximum class size |
150 |