Gifted Education Fund: AIoT Coding, Engineering and Entrepreneurial Skills Education for Gifted Students

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Introduction

The AIoT Coding, Engineering and Entrepreneurial (CE2) Skills Education for Gifted Students Programme aims to equip the gifted students with knowledge and hands-on problem solving, coding, engineering abilities in Artificial Intelligence Internet of Things (AIoT), and Entrepreneurship, including math knowledge, software and hardware programming skills, engineering skills, and entrepreneurial skills.

We hope that via this programme, students can gain experience in AI programming, IoT device development cycle (especially hardware programming such as FPGA, with applications to AIoT), developing a business plan, and delivering a pitch ,with the aids of university mentors.

Programme objectives

  • To provide gifted students with knowledge of foundation mathematics for use in artificial intelligence (AI) and Python programming for development of relevant applications;
  • To equip students with engineering skills and experiences, through practical and projects, to design and implement AI models and also the Internet of Things (IoT) devices by using advanced hardware and software utilised in the industry;
  • To provide an opportunity for students to demonstrate their creativity and talents by presenting their designs to representatives of technology companies and other participants in a large-scale event;
  • To nurture positive values and attitudes among students such as ethical use of AIoT for the well-being of mankind and perseverance to overcome problems;
  • To develop a business plan, and to learn how to deliver a start-up pitch; and
  • To develop students’ abilities and relevant experiences needed to turn an idea into a seed project in the start-up ecosystem.

Timeline

Date Time Content
11 Jun 2022 (Sat)
10:00am – 12:00pm
Foundational Guest Lectures on AI
18 Jun 2022 (Sat)
10:00am – 12:00pm
Getting familiar with the coding environment, GitHub and StackOverflow
25 June 2022 (Sat)
10:00am – 12:00pm
Foundational Guest Lectures on IoT
2 Jul 2022 (Sat)
10:00am – 12:00pm
Introduction to Python Programming 1
9 Jul 2022 (Sat)
10:00am – 12:00pm
Foundational Guest Lectures on Entrepreneurship & Business Planning - Hong Kong and Global Start-up Ecosystem
16 Jul 2022 (Sat)
10:00am – 12:00pm
Introduction to Python Programming 2
23 Jul 2022 (Sat)
10:00am – 12:00pm
Foundational Guest Lectures on Entrepreneurship & Business Planning - Incubation, Seed Fund, Angel Fund
30 Jul 2022 (Sat)
10:00am – 12:00pm
Advanced Python Programming I – NumPy
6 Aug 2022(Sat)
10:00am – 12:00pm
Foundational Guest Lectures on Entrepreneurship & Business Planning - Intellectual Property Protection
13 Aug 2022 (Sat)
10:00am – 12:00pm
Lab session: Linear regression using NumPy
20 Aug 2022 (Sat)
10:00am – 12:00pm
Foundational Guest Lectures on Entrepreneurship & Business Planning - Business Plan writing
27 Aug 2022 (Sat)
10:00am – 12:00pm
Advanced Python Programming II – Pandas
3 Sep 2022 (Sat)
10:00am – 12:00pm
Introduction to Artificial Intelligence
10 Sep 2022 (Sat)
10:00am – 12:00pm
Supervised Learning in Details:
17 Sep 2022 (Sat)
10:00am – 12:00pm
Introduction to the Fashion MNIST Dataset and Data Pre-processing
24 Sep 2022 (Sat)
10:00am – 12:00pm
Deep Neural Network Model and Its Training
8 Oct 2022 (Sat)
10:00am – 12:00pm
Lab session1: Data Analysis and Pre-processing with Fashion MNIST Dataset Lab session2: Image Recognition with Fashion MNIST Dataset using TensorFlow
15 Oct 2022 (Sat)
10:00am – 12:00pm
Convolutional Neural Network (CNN)
22 Oct 2022 (Sat)
10:00am – 12:00pm
Lab session: Improve Prediction Accuracy with CNN
29 Oct 2022 (Sat)
10:00am – 12:00pm
Overfitting and Regularizations
5 Nov 2022 (Sat)
10:00am – 12:00pm
Lab session: Avoid Overfitting and Further Improve Prediction Accuracy with Regularization Techniques
12 Nov 2022 (Sat)
10:00am – 12:00pm
Basic FPGA design using Python Productivity for ZYNQ (PYNQ) 1
19 Nov 2022 (Sat)
10:00am – 12:00pm
Basic FPGA design using Python Productivity for ZYNQ (PYNQ) 2
26 Nov 2022 (Sat)
10:00am – 12:00pm
Basic FPGA design using Python Productivity for ZYNQ (PYNQ) 3
3 Dec 2022 (Sat)
10:00am – 12:00pm
Basic FPGA design using Python Productivity for ZYNQ (PYNQ) 4
10 Dec 2022 (Sat)
10:00am – 12:00pm
Quantised Neural Network (QNN)
17 Dec 2022 (Sat)
10:00am – 12:00pm
Lab session: Deploying the QNN to the PYNQ Board
7 Jan 2023 (Sat)
10:00am – 12:00pm
AI Internet of Things (AIoT) design
14 Jan 2023 (Sat)
10:00am – 12:00pm
Lab session: Embedded System Design
21 Jan 2023 (Sat)
10:00am – 12:00pm
Mentorship meeting briefing session + first time meetup
28 Jan, 4 Feb 2023 (Sat)
10:00am – 12:00pm
Bi-weekly meeting with mentors from CityU EE
Feb 2023 – Mar 2023 Students’ projects exhibition and pitching/judging

Medium of Instruction

Course Material: English
Class teaching/ Discussion: English supplemented with Cantonese

Programme Fee

Free of charge

Application

Eligibility: Secondary 4-5 students in the 2021/22 School Year who meet the following requirements:

  • Applicants should demonstrate great interest and outstanding performance in mathematics, and should be experienced in at least one computer programming language such as Python, C/C++, Java, JavaScript, etc. 
  • They should also show eagerness to learn how to setup business in AIoT (Artificial Intelligence and Internet of Things) domain. At recruitment stage, applicants will be required to present an initial start-up idea for solving a real daily life problem.

Application Deadline: 27 May 2022

Application Procedure: Please complete the application form (Chinese/ English) and send the scanned copy by email to r.cheung@cityu.edu.hk, AND then the original copy by post on or before 27 May 2022 to the following address: Department of Electrical Engineering City University of Hong Kong Tat Chee Avenue Kowloon Tong (Attn: Dr Ray CHEUNG Chak-chung)

Date of Announcement of Result: By early June 2022 (tentative)
More information HERE.

Contact Information

Address: Department of Electrical Engineering
City University of Hong Kong
83 Tat Chee Avenue,
Phone: +(852) 3442-7740
Fax: +(852) 3442-0562
Email: eegefp@cityu.edu.hk