Computational thinking

Computational thinking

1. Decomposition

   • Breaking complex problems down into smaller problems.
     • Structure charts can be used to represent this.
   • Allows large teams to solve problems quicker since they can take different parts of the problem

2. Abstraction

   • Picking out the important bits of information from the problem.
     • Ignore the specific details that don't matter.
       • Maps are example since they only keep the relevant information.

3. Algorithmic thinking

   • Logical way of getting from the problem to the solution.
     • If the steps you take to solve a problem follow an algorithm they then can be reused and adapted to solve similar problems in the future.