Page 60 - HKSYU Prospectus 2023-24

Shue Yan University Prospectus 2023-24

GED 214 Smart Cities - Technologies and Applications
1 Term; 3 Credits
The aims of the course are to introduce the concept of smart cities, its applications and
the technology that helps in the development of smart cities. Students will learn topics in smart
cities technologies such as IoTs, Artificial Intelligence, Block chain, Cloud Computing,
Cybersecurity and Wireless communications. Students will also learn how to build smart city
applications using off-the-shelf sensors and development boards. Furthermore, students will
learn how these technologies help develop smart cities with reference to case studies. Finally,
students will also learn about how data-driven decision making can aid smart cities.

GED 215 Cloud Computing Features and Applications
1 Term; 3 Credits
Cloud Computing has transformed the IT industry by opening the possibility for highly
elastic scalability in the delivery of enterprise applications in the form of software licensing and
delivery models. This course aims to provide a comprehensive coverage of the concepts and
technologies of cloud computing and its business perspective. It offers a deep-down analysis
of practice of designing and constructing mechanisms to capture the real-world cloud platforms
and applications. It enables students without prior computing and programming background to
understand the details of how to develop and deploy applications or services hosted on cloud.

GED 216 Introduction to Spatial Data and Geographic Information System (GIS)
1 Term; 3 Credits
This course aims to introduce spatial data and Geographic Information System (GIS) for
geographic data management, analysis and visualization. GIS provides useful descriptions of
phenomena for which location is relevant and become increasing popular nowadays. The
course will also explore and review the use of GIS in multiple areas including but not limited to
environment, community, city planning, utilities etc. Finally, the students will also be introduced
to online GIS tools that facilitate model building and prototyping.

GED 217 Exploring Data Analysis and Visualisation with R
1 Term; 3 Credits
This course aims to introduce the basics of data analysis and visualisation with R
programming language to the students and provide them with hands-on experience in
implementing the basic concepts using R. It also aims to develop critical thinking and statistical
reasoning skills of the students through various lab activities. After taking this course, the
students will be able to apply the basic statistical concepts and programming skills to explore
datasets of any kind, conduct quantitative analysis and visualise data in their own field of study.

GED 218 Digital Safety in Daily Life
1 Term; 3 Credits
This course aims to help students obtain basic knowledge of digital safety, including using
digital devices in healthy ways, data safety and cybersecurity. Students will learn to analyse

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