Lesson 5: Computational Thinking
Computational thinking is a way of solving problems by breaking them into steps a computer — or a human — can follow. It is the foundation of programming, algorithm design, and systems engineering.
Key Concepts
Decomposition
Break a big problem into smaller sub-problems. 'Build a website' breaks into design, HTML, CSS, JavaScript, hosting, and more. Each sub-problem can be solved independently. This is decomposition.
Pattern Recognition
Look for patterns and similarities. Once you know how to write a for loop, you can apply it to lists, numbers, strings, and files. Recognizing patterns means you rarely start from scratch.
Abstraction and Algorithms
Abstraction means ignoring details that do not matter for the current problem. An algorithm is a precise, step-by-step solution. Binary search, sorting, pathfinding — these algorithms power everything from search engines to GPS.
🆕 Algorithm Visualizer
Watch binary search vs linear search find a number. See why algorithm choice matters!
✅ Check Your Understanding
1. What is decomposition?
2. What is an algorithm?
3. Why is binary search faster than linear search?