28 July – 11 August 2023
CityU-Learning Classroom for Secondary School Students
The CityU-Learning Classroom was first introduced in February 2020 in response to the school closure due to the Covid-19. Since its introduction, the Classroom has received overwhelming registrations with many encouraging feedback. Riding on the support from local students and students from all over the world, the Classroom continues to offer real-time interactive taster lectures on wide range of disciplines in various mode for free
Note: Classes are available in online or face-to-face.
| Organised By | Office of the Provost / City University of Hong Kong |
| Official Website | http://go.cityu.hk/taster |
| Venue | In-person on the CityU Campus / online |
| Enquiry |
Email: outreach@cityu.edu.hk Tel: 3442 8922 WhatsApp: 6461 3854 |
| Other Useful Information | The lectures are offered to secondary school students for free. The Classroom welcomes registrations three times a year. All are welcome to register via the online registration form. |
| Attachment(s): | Poster |
1. Dive into Deep Learning
| Target Participant | Secondary students (S4 - S6) |
| Description | In this workshop, participants will learn to train a deep learning model in a virtual environment that is Diversified, Interactive, Versatile, and Engaging. |
| Registration Deadline | 7 July, 2023 (Friday) |
| Programme Schedule |
Date: 28 July 2023 (Friday) Time: 10:30 AM - 11:30 AM |
| Language | Cantonese supplemented by English |
| Mode | Online |
2. Turning WiFi into Sensors via Data Analytics
| Target Participant | Secondary students (S4 - S6) |
| Description | This lecture introduces the basics to turn wireless networks such as WiFi into sensors for contactless human detection, localization, and activity recognition for smart homes. Participants will understand the signal processing and data analysis techniques to implement a practical wireless sensing system as well as the complexities to design real-world data-driven Internet-of-Things applications. |
| Registration Deadline | 7 July, 2023 (Friday) |
| Programme Schedule |
Date: 9 August 2023 (Wednesday) Time: 10:30 AM - 11:30 AM |
| Language | English |
| Mode | Online |
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