Aviation and AI Series

Course Information:
 

Course Title: Aviation and AI Series

Year: 2026 - 2027

Target Audience: Form 1 or above

Prerequisite(s): Nil

Learning Hours:

• Workshop: 16.0

• Project: 4.0

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Course Description:

This series provides an immersive, transdisciplinary exploration of aviation science and artificial intelligence (AI). By bridging theoretical geography (meteorology and navigation) and physics (aerodynamics) with modern technology, the curriculum translates classroom theory into high-impact, real-world applications. Through a sequence of clear conceptual explanations and hands-on laboratory activities, students will master the core principles of flight while learning to command autonomous systems. The course culminates in an investigation of the "low-altitude economy," where students explore how cutting-edge AI models are revolutionizing modern transport and urban logistics.

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Course Learning Outcomes:

1. Aviation Foundations: Students will master the physical and geographical principles of flight, including aerodynamics, atmospheric science, and global navigation.

2. Python Programming: Learners will develop fundamental coding literacy by applying Python syntax and logic to solve aviation-specific problems.

3. Drone Operations: Participants will gain the practical skills and legal knowledge required to operate unmanned aircraft safely and professionally within local regulations.

4. Artificial Intelligence: Students will explore the "brain" of autonomous systems by studying computer vision, classification theory, and physical AI.

5. Social Implications & Ethics: This outcome focuses on the critical evaluation of how software-driven automation impacts safety, accountability, and human values in transport.

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Topics:​​

• L1: From Pilots to Pixels: The Evolution of Flight

• L2: General Aviation and Programming Knowledge

• L3: Navigation and Units of Measurement

• L4: Decoding the Atmosphere: Meteorology, Weather APIs and Comparisons

• L5: The Runway and the Future: Take-off Dynamics & The Low-Altitude Economy

• L6: Drone 101: Rules of the Sky and Drone Precision Control

• L7: Computer Vision and AI Perception

• L8: AI in Action: The Intelligent Drone

• L9: The Ethical Pilot: Accountability and AI Values

• L10: Capstone Presentation: The Aviation and AI Exhibition

 

L1: From Pilots to Pixels: The Evolution of Flight

This session provides a comprehensive introduction to the aviation world, tracing the journey from traditional manned flight to the AI-driven autonomous systems of tomorrow. Students will explore:

• The Human Element: Understand the roles of people involved in traditional aviation, from pilots to air traffic controllers, and the foundations of manual flight.

• Technological Shifts: Compare the transition from "Fly-by-Wire" systems and analogue cockpits to modern, data-rich "Glass Cockpits" and autopilot functionalities.

• The Rise of Unmanned Aircraft: Trace the evolution of drones from high-stakes military applications to their current widespread civil and commercial use.

• The AI Integration: Discover how Artificial Intelligence is being integrated into modern aviation, particularly in enhancing drone perception and decision-making.

• The Power of Python: Learn why Python is the industry-standard language for AI and a good programming language to start learning.

• Python Practical: Gain initial hands-on experience by writing basic commands in Python to understand foundation knowledge of programming (print function and syntax).

 

L2: General Aviation and Programming Knowledge

This session bridges the physical laws of the universe with the logical structure of computer programming. Students will explore:

• The Four Forces of Flight: Understand the balance between Thrust, Drag, Weight, and Lift that allows any aircraft to remain airborne.

• Principles of Aerodynamics: Deep dive into Bernoulli's Principle and Newton's Third Law to understand how pressure differences and action-reaction pairs generate lift.

• Control Surfaces: Identify how a pilot (or an AI) manipulates ailerons, elevators, and rudders to change the aircraft's attitude and direction.

• Python Syntax Foundations: Learn the "grammar" of coding, including the critical use of keywords, identifiers, and why indentation is mandatory in Python to define logic blocks.

• Variables and Data Types: Understand how to store flight information (like altitude or speed) using different data types such as integers, floats, and strings.

• Practical: Hand-on paper plane aerodynamics challenge

 

L3: Navigation and Units of Measurement

This session focuses on the precision of flight data and the importance of standardizing measurements in the cockpit and in code. Students will explore:

• The Primary Flight Display (PFD): Learn to interpret critical real-time data including Indicated Airspeed, Altitude (MSL), Heading (Direction), and Vertical Speed.

• Global Positioning & Time: Understand the role of Global Navigation Satellite Systems (GNSS) in pinpointing location and the necessity of Zulu Time (UTC) for international aviation coordination.

• Environmental Variables: Analyse wind speed and its impact on ground speed versus airspeed.

• Coding Review: Reinforce Python foundations by reviewing syntax, variable assignment, and the differences between numeric and text data types.

• Python Practical (Unit Conversion): Create Python functions to convert between aviation units, such as Knots to Kilometres per hour or Feet to Meters, ensuring data accuracy for flight planning.

• Flight Control Review: Review what is roll, pitch and yaw.

• Drone Flight Simulation: Move from manned aircraft to unmanned systems, using a drone simulator to practice flight control, navigation and spatial awareness.

 

L4: Decoding the Atmosphere: Meteorology, Weather APIs and Comparisons

This session explores the "Applied Geography" of the sky, teaching students how to programmatically evaluate weather conditions for safe flight. Students will explore:

• Atmospheric Science: Understand how density, temperature, and atmospheric pressure affect aircraft performance; learn the significance of relative humidity and the dew point in predicting fog or icing.

• Aviation Weather Reports: Master the structure of METAR (Meteorological Aerodrome Report) and TAF (Terminal Aerodrome Forecast) to read the "language of the sky."

• Logic and Comparisons: Learn Python conditional statements (if/else) and comparison operators (>, <, ==) to help the computer make decisions based on data.

• HTTP Requests and APIs: Understand how the internet "talks"; learn how to send a request to a remote server to fetch live data.

• Python Practical (Live Weather Fetcher): Write a script that automatically fetches live METAR data via an API, parses the text, and uses comparison logic to print a "Safe to Fly" or "Grounded" status based on wind and visibility limits.

• Skill Application: Compare manual weather interpretation with your automated Python tool to understand how automation increases efficiency in flight operations.

 

L5: The Runway and the Future: Take-off Dynamics & The Low-Altitude Economy

This session focuses on the critical moments of departure and the emerging industry of urban air mobility. Students will explore:

• Take-off Physics: Study V-speeds (specifically V1, VR, V2) and how weight, temperature, flap settings, and runway length determine the safe lift-off speed.

• The Low-Altitude Economy: Discover the rapid rise of AI and autonomous vehicles in the new economy of low-altitude application.

• Simulation Lab (MSFS): Use Microsoft Flight Simulator to reinforce the aviation knowledge learnt.

• Future Careers: Discuss how AI literacy is an essential competency for the future of aviation and transport.

 

L6: Drone 101: Rules of the Sky and Drone Precision Control

This session provides a comprehensive introduction to drones, from the legal requirements of the sky to hands-on piloting mastery. Students will explore:

• The Rules of the Sky: Understand Hong Kong's drone legislation, key safety publications, and the local airspace restrictions.

• Remote Pilot Certification: Explore the requirements and course content necessary to obtain a Remote Pilot Certificate from the Civil Aviation Department (CAD).

• Safety First: Learn essential pre-flight checks and standard operating procedures for safe take-off and landing.

• Hands-On Piloting: Gain practical flight experience, mastering basic controls and maintaining Visual Line of Sight (VLOS).

• Obstacle Course Flying: Reinforce learning through a timed obstacle course challenge, manoeuvring drones through physical hoops to build muscle memory.

 

L7: Computer Vision and AI Perception

This session delves into how machines "see" and categorize the world, providing students with the tools to build their own visual recognition models. Students will explore:

• Computer Vision & CNNs: Learn how Convolutional Neural Networks (CNNs) work by detecting patterns, from simple edges to complex shapes, through a process called convolution.

• Classification Theory: Understand supervised learning and how models are trained to categorize visual data.

• Teachable Machine Workshop: Use Google's Teachable Machine to build and test a simple image classification model to understand training, confidence scores, and evaluation.

• CV Application Project: Students work on their own Computer Vision (CV) project to identify specific objects and present their application's real-world use to the class.

 

L8: AI in Action: The Intelligent Drone

This session moves from theoretical computer vision to physical action, demonstrating how AI dictates the movement of modern aerial systems. Students will explore:

• Real-Time Object Detection (YOLO): Use the "You Only Look Once" fast AI model to identify, draw bounding boxes around, and track objects like people or cars in real-time.

• Occupancy Grid Intelligence: Witness how drones use vision, LIDAR, and infrared sensors to fuse data into a real-time grid-based map for seamless obstacle avoidance.

• Pose Detection: Utilize pose detection to identify key points on the human body, allowing drones to execute commands based on predefined gestures.

• Practical AI Experience: Engage in a practical session to experience these AI functions firsthand with modern drones, witnessing how digital perception dictates physical action.

 

L9: The Ethical Pilot: Accountability and AI Values

This session explores the moral and legal responsibilities in an era where software handles critical flight decisions. Students will explore:

• Programmed Flight: Analyse how modern aviation is powered by computer programs, contrasting modern Fly-by-Wire flight controls and advanced Autopilots with traditional manual pulley-and-cable systems.

• Accountability & Transparency: Discuss who is responsible when an autonomous system fails—is it the pilot, the programmer, or the manufacturer?

• Ethical Alignment: Explore the challenge of aligning AI with human values. Should AI be programmed to follow Utilitarianism (choosing the outcome that helps the most people) or Deontology (following strict rules regardless of the outcome)?

• Project Studio: Dedicated time for teams to synthesize their research, finalize their aviation-AI project design, and begin creating their exhibition posters.

 

L10: Capstone Presentation: The Aviation and AI Exhibition

The final session serves as the capstone event where students showcase their synthesis of aviation science and AI technology.

• Project Exhibition: Teams exhibit their group projects and posters, presenting their unique solutions or research into Aviation and/or AI.

• Peer Review: A platform for students to articulate their insights, receive feedback from their peers or teachers, and celebrate their journey in AI literacy.