Age (9-11)

Main Topics

• Write basic Python programs and develop algorithmic thinking.
• Design simple websites using HTML and CSS.
• Build Arduino-based projects using sensors and motors.
• Understand robotics, automation, and control systems.
• Learn fundamental AI concepts and everyday applications.
• Understand basic digital safety and cybersecurity.
• Design and test technology-based solutions.
• Research an emerging technology and present its applications.

Detailed Syllabus

1. Python Foundations

• Input and output.
• Variables.
• Data types.
• Operators.
• Conditional statements.
• for and while loops.
• Lists.
• Simple functions.
• Debugging basic programs.
• Create small programs, games, or simulations.

2. Algorithmic Thinking

• Understand algorithms.
• Break a problem into smaller parts.
• Write step-by-step solutions.
• Flowcharts and pseudocode.
• Trace a program.
• Find programming errors.
• Test different solutions.
• Compare solutions for clarity and efficiency.

3. Web Technology

• Structure a webpage using HTML.
• Headings, paragraphs, lists, images, and links.
• Basic HTML page structure.
• Style webpages using CSS.
• Fonts, spacing, borders, and backgrounds.
• Simple layouts.
• Create multiple linked pages.
• Build a small personal/project website.

4. Arduino & Electronics

• Arduino board and basic components.
• Digital input and output.
• LEDs and switches.
• Breadboard connections.
• Sensors such as ultrasonic and LDR.
• Servo motors and DC motors.
• Read sensor values.
• Use sensor data to control an output.
• Build a simple automated system.

5. Robotics & Engineering

• Robot structure and components.
• Motors and motor drivers.
• Sensors and actuators.
• Line-following concepts.
• Obstacle detection.
• Robot movement and control.
• Design a robot for a defined task.
• Test and improve robot performance.

6. AI & Automation

• What is Artificial Intelligence?
• AI vs. traditional programming.
• Basic classification concepts.
• Recommendation systems.
• Pattern recognition.
• Voice and image recognition examples.
• Everyday AI applications.
• Automation and smart systems.
• Opportunities and limitations of AI.

7. Digital Safety & Cybersecurity

• Personal data and privacy.
• Strong passwords.
• Phishing awareness.
• Safe browsing.
• Malware awareness.
• Responsible sharing.
• Digital footprints.
• Basic cybersecurity practices.

8. Technology Innovation

• Identify a real-life problem.
• Research possible technological solutions.
• Design a prototype.
• Test the prototype.
• Record observations.
• Improve the design.
• Explain advantages and limitations.

9. Capstone Project

• Python Project: mini-game, calculator, quiz, or simulation.
• Robotics Project: sensor-guided robot or obstacle detection system.
• Web Project: multi-page educational website.
• Technology Research: AI, robotics, space technology, or green technology.

Important Note for Participants

The topics and subtopics provided are the main areas of the syllabus. They are not limited to only the examples mentioned.