COMP7310A - Artificial intelligence of things

Semester 1, 2022-23

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
Course Learning Outcomes Relevant Programme Learning Outcome
CLO1. Understand the basic concepts and applications of IoT PLO. 6, 7, 8, 9, 10, 11, 14, 15
CLO2. Learn about the principles, algorithms, and technologies for smart sensing PLO. 5, 6, 7, 8, 9, 10, 11, 14, 15
CLO3. Apply the learned sensing techniques to enable IoT applications PLO. 5, 6, 7, 8, 9, 10, 11, 14, 15, 16
View Programme 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
Course Content No. of Hours Course Learning Outcomes
1. Introduction to IoT 3 CLO1
2. Everything Connected: Wireless for IoT 3 CLO1, CLO2
3. Localization and Tracking 6 CLO1, CLO2, CLO3
4. Mobile and Wearable Sensing 3 CLO1, CLO2, CLO3
5. Wireless Sensing 6 CLO1, CLO2, CLO3
6. Sensing Meets Deep Learning 6 CLO1, CLO2, CLO3
7. Selected Advanced Topics 3 CLO1, CLO2, CLO3
 
Assessment
Description Type Weighting * Tentative Assessment Period /
Examination Period ^
Course Learning Outcomes
Programming/writing assignments Continuous Assessment 40% - CLO1, CLO2, CLO3
Paper review Continuous Assessment 10%   CLO1, CLO2, CLO3
Written examination covering all the taught contents in the course. Written Examination 50% 8 - 23 Dec 2022 CLO1, CLO2, CLO3
* The weighting of coursework and examination marks is subject to approval
^ The exact examination date uses to be released when all enrolments are confirmed after add/drop period by the Examinations Office.  Students are obliged to follow the examination schedule.  Students should NOT enrol in the course if they are not certain that they will be in Hong Kong during the examination period.  Absent from examination may result in failure in the course. There is no supplementary examination for all MSc curriculums in the Faculty of Engineering.
Course materials Prescribed textbook: N/A
  • Lectures, notes
  • Online papers
Session dates
Date Time Venue Remark
Session 1 2 Sep 2022 (Fri) 7:00pm - 10:00pm CYP-P3 Face-to-face
Session 2 9 Sep 2022 (Fri) 7:00pm - 10:00pm CYP-P3 Face-to-face
Session 3 16 Sep 2022 (Fri) 7:00pm - 10:00pm CYP-P3 Face-to-face
Session 4 23 Sep 2022 (Fri) 7:00pm - 10:00pm CYP-P3 Face-to-face
Session 5 30 Sep 2022 (Fri) 7:00pm - 10:00pm CYP-P3 Face-to-face
Session 6 7 Oct 2022 (Fri) 7:00pm - 10:00pm CYP-P3 Face-to-face
Session 7 21 Oct 2022 (Fri) 7:00pm - 10:00pm CYP-P3 Face-to-face
Session 8 28 Oct 2022 (Fri) 7:00pm - 10:00pm MB-201 Face-to-face
Session 9 4 Nov 2022 (Fri) 7:00pm - 10:00pm CYP-P3 Face-to-face
Session 10 11 Nov 2022 (Fri) 7:00pm - 10:00pm CYP-P3 Face-to-face
CYP - Chong Yuet Ming Building MB - Main Building
Add/drop 1 September, 2022 - 15 September, 2022
Maximum class size 150
Back