Computational Thinking

Computational Thinking

1. Decomposition

   • Taking a large problem and breaking it down into smaller more manageable parts
   • Each resulting problem is easy to solve, and combines to solve the more complex problem

2. Abstraction

   • Removing unnecessary parts of a problem
   • It ensures only the necessary problem is solved and nothing else

3. Pattern Recognition

   • Identifying repeated operations within a problem and soving them separately
   • Solving a repeating problem once saves time, as there is no need to re-create the same solution

4. Algorthm

   • A list of step-by-step instructions to solve a problem
   • Provides a formal solution to be followed

5. Flow charts

   • Terminator
   • choice
   • process

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