Computational thinking

Computational thinking

1. Decomposition

   • Decomposition is the act of taking a large problem and breaking it downinto smaller more managable problems
   • We use decomposition to to make really big problems more managable and less scary.
   • An example of this is when we solve a crime. It can seem quite overwhelming but you can break it down into things like witnesses, evidence, where, when and any crime similarities

2. Abstraction

   • Abstraction is the act of removing unnecessary detail from a problem to simplify it
   • We use abstraction to complete only what we want to and nothing else and to simplify problems
   • An example of this is the famous London underground where the creator didnt bother to put unnecessary detail in like the geographical location of the places

3. Pattern Recognition

   • Pattern recognition is the process of identifying repeated elements
   • We use pattern recognition to avoid solving the same problem more than once
   • An example of this is in coding when you want something to do something multiple time you can just put a repeat

4. Algorithms

   • Algorithms are sets of step by step instructions to solve a problem
   • Structured english
     • A structure English algorithm uses short, structured sentences to express instruments
   • Flow Charts
     • Terminator
     • Process
     • Decision