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Chapter 2 — Chapter 2 — Computational Thinking & Algorithms
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📘Easy summary
Computational thinking is a way of thinking to solve problems clearly and logically. It helps us break big problems into smaller and simpler parts, and it is not only for computer science students — it is used in daily life too. Computational thinking means thinking like a problem solver: we understand a problem step by step, break it into smaller parts (decomposition), look for patterns in problems and solutions (pattern recognition), remove unnecessary details and focus on important points (abstraction), and then create clear steps to solve the problem (algorithm). These steps can be followed by humans or computers.
⭐Key points
- Decomposition, patterns, abstraction, algorithm.
- Used by everyone, not only programmers.
- Steps can be followed by humans or computers.
🔬Diagram
🌿Real-life example
Planning a school trip: split into transport, food and timings, then list the steps.
💡Exam tip
- MCQ: computational thinking is for solving problems in a logical way.
✅Quick check
1. Computational thinking is mainly used for:
2. Removing unnecessary details is:
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