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TeacherColab · Free Student Worksheet
Decomposition: Breaking Problems into Smaller Steps
Student Name
Date
Learning Objective
Learn decomposition — the skill of breaking a complex problem into smaller, manageable parts — and see how AI engineers use this technique.
Section 1 — What do you already know?
Before we begin, write down anything you already know about: Decomposition
Section 2 — Key Concepts
1. What is decomposition in computing?
Answer:
Decomposition means breaking a large, complex problem into smaller, simpler sub-problems that are easier to solve. It is one of the four pillars of computational thinking.
2. How do AI engineers use decomposition?
Answer:
Building an AI system is a huge task. Engineers decompose it into smaller parts: collecting data, cleaning data, choosing a model, training the model, testing it, and deploying it. Each part is solved separately.
3. Is decomposition the same as planning?
Answer:
They are related! Decomposition is a structured way of planning — you identify all the parts of a task before starting. It helps you avoid missing important steps.
Section 3 — Check Your Understanding
Answer the following questions in your own words.
1. Explain what decomposition means
2. Break a complex problem into smaller sub-problems
3. Understand how AI systems are built using decomposition
4. Apply decomposition to a real-world scenario
Section 4 — Fill in the Blanks
Complete the sentences using the concepts you have learned.
1. Decomposition helps computers _________________ patterns from _________________.
2. The main difference between AI and a normal program is that AI _________________ from data rather than following fixed _________________.
3. One real-world example of Decomposition is _________________, which uses it to _________________.
4. The inputs used by an AI model are called _________________ and the output it predicts is called a _________________.
Section 5 — Scenario Thinking
🤔 Think about this:
A healthcare organisation wants to use Decomposition to assist doctors in diagnosing patients earlier. What data would the AI need? What challenges could arise? How can the team ensure the AI is fair, safe, and accurate?
Section 6 — What Did I Learn?
✅ Three key ideas I now understand:
❓ One question I still have:
⭐ Challenge Task
If you were designing an AI solution using Decomposition, what problem would you solve? Outline a 3-step plan: (1) Problem statement, (2) Data to collect, (3) How to verify accuracy.