Case A5: Artificial Intelligence and Machine Learning

Complexity
  • Medium – Advanced
Target Level
  • P4 – P6

Objective:
To discover practical theories, applications and programming opportunities to further students’ understanding of the subject matter. Then, train and test the machine learning models, and observe how these models function. Also, it helps to develop students’ sampling and labelling skills through hands-on training activities. Finally understand the core concepts and how to apply AI technology to different situations.

Description:
The school will organise a series of basic AI workshops to students which provide concrete, contextualised lessons that seamlessly integrate grade-level mathematics, general studies and programming activities for students. The workshops will strengthen students’ understanding of the fundamentals of AI and machine-learning. They can also try to program, apply and experience the technology in various applications such as semantic analysis, color, face, object, shape recognitions and so on.

Hardware
  • Laptop / PC of at least i7 or comparable CPU with Internet connection
Software
  • Common programming languages like Scratch / App Inventor 2
Cloud Services
  • Optional
Major Activities
  1. Theoretical session covering:
    1. Basic introduction to AI
    2. The characteristics and scope of technology
    3. Develop an understanding of machine learning model.
  2. Practical session covering:
    1. Understanding the applications of AI and the associated theory
    2. Getting accustomed to how machine learning models work
    3. Programming AI applications
    4. How to train and employ machine learning model
  3. Share the challenges and lesson learnt
Learning Objective(s)
  • How to collect data and train machine learning models
  • How to program basic AI applications practical for daily uses
  • Learn about sampling techniques
  • To develop and complete AI activities and challenges
  • How to collaborate in groups and teams
Duration
  • Theoretical sessions: 2 hours
  • Practical sessions: 8 hours
Target No. of Students
  • About 10 – 30 students per workshop