Winnie Tang
Kelvin Shum
This course presents an overview and the core concepts and techniques of building smart cities by utilizing the technologies like Geographic Information Systems (GIS), Location Intelligence, Open Data, Common Spatial Data Infrastructure (CSDI), Big Data analytics, Internet of Things (IoT) , Artificial Intelligence (AI) etc., that are indispensable to the development and effective management of the key components of smart cities. Key components of smart cities in the Smart City Wheel and various development stages will be discussed in details and current and potential technologies facilitating smart city development will be introduced. Students will not only learn the concepts but also real applications being developed or used in smart cities. A series of guest lectures will be arranged for our students to understand more about the actual implementations of smart city projects in various industries in Hong Kong.
| Course Learning Outcomes | Relevant Programme Learning Outcome |
| CLO1. Define the concept of Smart Cities and understand the phenomena and challenges emerging from rapid urbanization, main components of Smart Cities and the role and relevance of various stakeholders for the development of Smart Cities. | PLO. 5, 6, 7 |
| CLO2. Build a knowledge of the latest technological innovations, strategies, and policies that are being deployed in Smart Cities and understand the benefit and cost tradeoffs for these solutions. | PLO. 12 |
| CLO3. Evaluate and critique the policies, strategies, designs, services and applications of Smart Cities worldwide. | PLO. 13 |
| CLO4. Identify and evaluate business opportunities of Smart City applications in course participants’ industry or their interested area. | PLO. 12, 13, 14 |
| CLO5. Develop and apply a holistic, systematic and strategic planning approach for developing Smart City applications through a Spatial Data Infrastructure (SDI) which is comprised of open data and application programming interfaces (APIs). | PLO. 9, 10, 11 |
| View Programme Learning Outcomes | |
- The course is designed to equip those of you who work in government and community agencies with understanding of various issues in modern cities and the ability to develop and apply well-structured Smart City frameworks, strategies and applications to tackle them.
- If you are in business or are merely concerned citizen, you will also find this useful for understanding how a smart city can help you grow your business dynamically, provide more opportunities for innovative start-ups, and facilitate your civic needs.
- This course does not have any pre-requisites, but you will have an advantage if you have some computing knowledge.
- This course will include a discussion of location-based services, which are also covered in "ECOM7124 Mobile and IoT computing services and applications".
| Course Content | No. of Hours | Course Learning Outcomes |
| 1. Understanding the Concept of Smart City | 3.0 | CLO1, CLO2, CLO3 |
| 2. Smart Mobility | 3.0 | CLO1, CLO2, CLO3 |
| 3. Open Data & Spatial Data Infrastructure (SDI) | 3.0 | CLO1, CLO2, CLO3 |
| 4. Internet of Things (IoT), Big Data Analytics & Artificial Intelligence | 3.0 | CLO1, CLO2, CLO3 |
| 5. Building a Resilient, Healthy and Safe Community | 3.0 | CLO1 |
| 6. Smart Environment & Energy | 3.0 | CLO1, CLO2, CLO3 |
| 7. Smart Economy & FinTech | 3.0 | CLO1, CLO2, CLO3 |
| 8. GIS and Lab Work | 3.0 | CLO5 |
| 9. EKEO Site Visit | 3.0 | CLO2 |
| 10. Project Presentation | 3.0 | CLO3, CLO4, CLO5 |
| Description | Type | Weighting * |
Tentative Assessment Period / Examination Period ^ |
Course Learning Outcomes |
| Assignments | Continuous Assessment | 100% | - | CLO1, CLO2, CLO3, CLO4, CLO5 |
|
* 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. |
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| Date | Time | Venue | Remark | |
| Session 1 | 4 Jan 2023 (Wed) | 7:00pm - 10:00pm | KK-LG109 | Face-to-face |
| Session 2 | 5 Jan 2023 (Thu) | 7:00pm - 10:00pm | KK-LG109 | Face-to-face |
| Session 3 | 6 Jan 2023 (Fri) | 7:00pm - 10:00pm | KK-LG109 | Face-to-face |
| Session 4 | 9 Jan 2023 (Mon) | 7:00pm - 10:00pm | KK-LG109 | Face-to-face |
| Session 5 | 10 Jan 2023 (Tue) | 7:00pm - 10:00pm | KK-LG109 | Face-to-face |
| Session 6 | 11 Jan 2023 (Wed) | 7:00pm - 10:00pm | KK-LG109 | Face-to-face |
| Session 7 | 12 Jan 2023 (Thu) | 7:00pm - 10:00pm | KK-LG109 | Face-to-face |
| Session 8 | 13 Jan 2023 (Fri) | 7:00pm - 10:00pm | KK-LG109 | Face-to-face |
| Session 9 | 4 Feb 2023 (Sat) | 2:00pm - 4:00pm | Site Visit to EKEO | |
| Session 10 | 21 Feb 2023 (Tue) | 7:00pm - 10:00pm | KK-LG109 | Face-to-face |
| KK - K.K. Leung Building | ||||