Introduction
The Edge AIoT and Microelectronics (EdgeAIoTM) Engineering Skills for Gifted Students programme aims to equip gifted students with essential knowledge and skills related to AI, IoT, edge computing, and microelectronics technologies. It also seeks to empower them with coding, engineering, and mathematics skills, as well as critical thinking, teamwork, and problem-solving abilities. These soft and hands-on skills will enable them to develop applications that can solve current and future world problems.
Programme objectives
- To provide gifted students with the foundational knowledge and techniques in AI, edge computing, IoT and microelectronics to solve local and global problems
- To equip students with engineering skills and experiences through lab sessions, assignments and projects, to develop edge AIoT devices by using advanced hardware and software utilised in the industry
- To create awareness of the semiconductor manufacturing process, and nurture talents that can design and develop semiconductor and hardware systems demanded in Hong Kong and global industry, market, and academia
- To inspire gifted students about the role and applications of microelectronics in other advanced applications such as AI and IoT. Students will learn how to design and implement pure hardware, System on Chip (SoC) and Integrated Circuit (IC) for AI and IoT applications
- To arouse students’ awareness on ethics of using AI and other technologies in daily life and its security issues, and nurture their ability to evaluate and analyse various systems
- To nurture positive values and attitudes among students and foster their perseverance in overcoming problems
Timeline
| Date and Time | Contents |
|---|---|
| 23 May 2025 (Fri) 05:30pm-07:30pm |
Guest Lectures on Computer Hardware and Microelectronics Engineering |
| 30 May 2025 (Fri) 05:30pm-07:30pm |
Guest Lectures on AI and its Development |
| 6 Jun 2025 (Fri) 05:30pm-07:30pm |
Guest Lectures on Edge Computing and its Application |
| 13 Jun 2025 (Fri) (Fri) 05:30pm-07:30pm |
Introduction to microelectronics and digital systems |
| 20 Jun 2025 (Fri) 05:30pm-07:30pm |
Combinational logic design |
| 27 Jun 2025 (Fri) 05:30pm-07:30pm |
Sequential logic design |
| 28 Jun 2024 (Fri) 05:30pm-07:30pm |
Foundational Guest Lecture on Generative AI and AIoT (IV) |
| 4 Jul 2025 (Fri) 05:30pm-07:30pm |
FPGA design and Implementation with Vivado and Vitis |
| 11 Jul 2025 (Fri) 05:30pm-07:30pm |
System on Chip Design (SoC) on FPGA: Hardware Acceleration |
| 18 Jul 2025 (Fri) 05:30pm-07:30pm |
Edge detection and Camera/Video streaming on FPGA |
| 25 Jul 2025 (Fri) 05:30pm-07:30pm |
Machine learning Python libraries and environments |
| 1 Aug 2025 (Fri) 05:30pm-07:30pm |
AI and Machine learning algorithms and techniques |
| 8 Aug 2025 (Fri) 05:30pm-07:30pm |
Fundamentals of Deep Neural Network, its training and inference (MNIST Dataset use case) |
| 15 Aug 2025 (Fri) 05:30pm-07:30pm |
Convolutional Neural Network (CNN) |
| 22 Aug 2025 (Fri) 05:30pm-07:30pm |
Introduction to AI Internet of Things (AIoT) and Edge Computing |
| 29 Aug 2025 (Fri) 05:30pm-07:30pm |
Embedded Edge AI Platforms and Tools |
| 5 Sep 2025 (Fri) 05:30pm-07:30pm |
Deep Learning Processor (DPU) Implementation and Pre-trained AI Model Inference |
| 12 Sep 2025 (Fri) 05:30pm-07:30pm |
AI Model Quantization, Compilation, and Inference with Vitis-AI and PYNQ |
| 19 Sep 2025 (Fri) 05:30pm-07:30pm |
Smart Home Automation with FPGA |
| 26 Sep 2025 (Fri) 05:30pm-07:30pm |
Getting Familiar with GPU/NPU Architectures, Edge Platforms and Developer Tools & Object Detection |
| 3 Oct 2025 (Fri) 05:30pm-07:30pm |
YOLO Object Detection and Face Recognition, Training and Inference on GPU/NPU Hardware Acceleration Platform (Hands-on) |
| 10 Oct 2025 (Fri) 05:30pm-07:30pm |
Generative AI Fundamentals and Practice on Edge Devices, AI Ethics (Hands-on) |
| 17 Oct 2025 (Fri) 05:30pm-07:30pm |
Mentorship meeting |
| 24 Oct 2025 (Fri) 05:30pm-07:30pm |
Mentorship meeting |
| TBC | Student Project Presentation, Competition and Exhibition |
Contact Information
Department of Electrical Engineering
City University of Hong Kong
Email: eegefp@cityu.edu.hk
Tel: (852) 3442-9849
Fax: (852) 3442-0562