STEM and AI courses
Dedicated to providing high-quality STEM and AI courses to Hong Kong's education sector, the curriculum is designed around scenario-based learning, allowing students to apply knowledge in real-world situations and enhance their practical skills. By introducing programming, artificial intelligence, and data analysis, the courses not only cultivate students' computational and design thinking but also enable them to acquire professional skills, laying a solid foundation for their future careers in the innovation and technology field.
Course List
Course Number: irapp014
HEALTH KIT: IoT Health Mobile App Workshop
Course Outline
Health Kit 具一系列健康護理產品配合App Inventor 2 編寫手機程式以記錄使用者個人身體數據，整合成健康儀表板，了解身體變化，保持個人健康。透過編寫智慧健康手機程式，學生不但能體驗學習編程和應用的樂趣，還可了解使用者的使用需要，在學習的同時增加人與人之間的連繫和關懷！
Course Number: irapp011
Xcode Programming Fundamentals
Course Outline
This course is divided into three units (you can choose which unit to study):
Unit 1: Xcode for iOS Applications (Swift UL), Unit 2: Xcode for Augmented Reality, Unit 3: Xcode for Machine Learning
Course Number: irapp012
Python Programming Fundamentals and Artificial Intelligence Image Recognition Course
Course Outline
此課程教授學生現時最受歡迎之一的程式語言Python。從基礎的程式語言介紹開始，帶入基本運算、邏輯與迴圈、List等標準語法。最後介紹工智慧的概 念與基本處理套件，演示範例圖像識別程式，識別高達一千種物件。
Course Number: ireai012
Artificial Intelligence NVIDIA Jetbot / Jetracer Course
Course Outline
This course introduces supervised learning within machine learning. Students will experience collecting and labeling data, training and deploying models to enable autonomous vehicles to identify objects, automatically avoid obstacles, and follow routes. Upon completion, students are expected to understand programming concepts and debugging techniques, enhancing their programming skills and developing problem-solving abilities.
Course Number: ireai011
AI Computer Vision Course (NVIDIA Jetson Nano)
Course Outline
Learn about supervised learning in machine learning and write a face recognition program using Python.
Course Number: ireai013
AWS DeepRacer reinforcement learning
Course Outline
Students can use the 3D racing simulator provided by AWS to learn the principles of machine learning and reinforcement learning, and train models to drive self-driving racing cars. The car will observe the track with a camera, then control the throttle and steering through the model to complete the track autonomously. Students need to adjust the reward function according to performance to improve racing performance and develop problem-solving abilities.