ECOM7124A - Mobile and IoT computing services and applications

Semester 2, 2022-23

Professor	Mayank Goel
Teaching assistant	Erwin Lau
Syllabus	With nearly 5 billion mobile phone users worldwide, including well over 2 billion smartphone users, new mobile and IoT technologies are driving the development of a slew of new products and services.  This course introduces students to the technologies, applications, services and business models associated with the mobile Internet and the Internet of Things (“IoT”).  This includes looking at underlying technologies as well as important usability, security, privacy and business considerations, and learning to appreciate and analyze the challenges and tradeoffs they entail.  The course also provides an overview of future trends and ongoing research in this new and fast growing area.
Learning Outcomes	Course Learning Outcomes Relevant Programme Learning Outcome CLO1. Demonstrate a managerial understanding of the mobile and Internet of Things technologies as well as a practical understanding of the business, usability, security and privacy issues they give rise to. PLO. 1, 2, 3, 4, 6, 7, 8, 9, 11, 12, 13, 14, 16 CLO2. Be able to evaluate critical design tradeoffs associated with different mobile and Internet of Things technologies, architectures, interfaces and business models and how they impact the usability, security, privacy and commercial viability of applications and services. PLO. 1, 2, 4, 6, 7, 8, 9, 10, 11, 12, 14, 16 View Programme Learning Outcomes
Pre-requisites	Understanding of basic e-Commerce techniques and business models.
Topics covered	Course Content No. of Hours Course Learning Outcomes 1. Advances of Mobile Phones 3.0 CLO1 2. IoT and smart home 3.0 CLO1, CLO2 3. Health and fitness sensing 3.0 CLO1, CLO2 4. Behavioral sensing 3.0 CLO1, CLO2 5. Activity recognition 3.0 CLO1, CLO2 6. Augmented reality 3.0 CLO1, CLO2 7. Wearable computing 3.0 CLO1, CLO2 8. Visualizing information 3.0 CLO1, CLO2 9. Artificial intelligence 3.0 CLO1, CLO2 10. Privacy and ethics 3.0 CLO1, CLO2
Assessment	Description Type Weighting * Tentative Assessment Period / Examination Period ^ Course Learning Outcomes In-course assessments Continuous Assessment 70% - CLO1, CLO2 Written examination covering all the taught contents in the course Written Examination 30% 3-23 May 2023 CLO1, CLO2 * 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	There is no required textbook for this course.  In general, the slides and the lecture readings are the required material.  At the end of each lecture, the instructor will provide a list of optional readings for students interested in more in-depth look at some topics. For reading summaries, the instructor will provide one or two articles for students to read in preparation for discussions in class. The students will be required to submit a short summary (up to 2 paragraphs) for each reading before the lecture.
Session dates	Date Time Venue Remark Session 1 3 Feb 2023 (Fri) 7:00pm - 10:00pm Online Zoom Session 2 10 Feb 2023 (Fri) 7:00pm - 10:00pm Online Zoom Session 3 17 Feb 2023 (Fri) 7:00pm - 10:00pm Online Zoom Session 4 24 Feb 2023 (Fri) 7:00pm - 10:00pm Online Zoom Session 5 3 Mar 2023 (Fri) 7:00pm - 10:00pm Online Zoom Session 6 10 Mar 2023 (Fri) 7:00pm - 10:00pm Online Zoom Session 7 17 Mar 2023 (Fri) 7:00pm - 10:00pm Online Zoom Session 8 24 Mar 2023 (Fri) 7:00pm - 10:00pm Online Zoom Session 9 31 Mar 2023 (Fri) 7:00pm - 10:00pm Online Zoom Session 10 14 Apr 2023 (Fri) 7:00pm - 10:00pm Online Zoom
Add/drop	3 January, 2023 - 10 February, 2023
Maximum class size	70