Computational thinking

Computational thinking

1. Decomposition

   • Definition: Breaking a problem down into smaller, more manageable parts.
   • Example: A mind map to solve a problem
   • Why we use it: It is easier to solve a big problem when we break it down into smaller parts.

2. Abstraction

   • Definition: Removing unnecessary detail from a problem to simplify it.
   • Why we use it: To make sure only the problem that needs sovling is solved.
   • Example: Drawing stickmen to show that someone is twice the size as another person.

3. Pattern Recognition

   • Definition: Identifying repeating elements and grouping them together.
   • Why we use it: Avoids solving the same problem more than once.
   • Example: "Repeat step 2-6 three times"

4. Algorithms

   • Definition: Giving a step-by-step instructions to solve a problem.
   • Why we use it: Makes it easier to solve a long problem.
   • Example: A flow chart.