Topic 1 · pp. 124–129 · Free
Topic Notes · Easy summaries with diagrams
Chapter 7 — Chapter 7 — Computational Thinking
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📘Easy summary
Computational thinking (CT) is a problem-solving approach using systematic, algorithmic and logical thinking, applicable in any field. Four pillars: Decomposition — breaking a complex problem into smaller manageable parts (planning a party: guests, food, venue). Pattern recognition — finding and using similarities within/among problems (all multiplication tables follow repeated addition; spotting repeated steps). Abstraction — ignoring unnecessary details to focus on the main idea (a metro map shows stations, not streets). Algorithms — step-by-step instructions to solve the problem.
⭐Key points
- D-P-A-A.
🔬Diagram
🌿Real-life example
Making tea: boil water, add tea, add milk, pour — an algorithm.
💡Exam tip
- Example for each pillar.
✅Quick check
1. Ignoring details:
2. Pattern recognition:
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