2.1.1 Computational Thinking

• All about structuring solutions to problem in a way that computers can easily follow
• Decomposition


  Breaks a problem into a small sub-problems that can each be tackled individually. Each stage can be further decomposed if needed
• Abstraction


  Focusing on what is important in a problem and ignoring or hiding the irrelevant details

  Simplifying a problem by removing unnecessary details
• Algorithmic Thinking


  Involves thinking how the problem can be clearly defined as an algorithm - that is, what needs to be done and in what order
• Input


  Data received by a program
• Output


  The result of a program's processing
• Processing

  The actions a computer performs on data
• Decomposition


  Breaking down complex problems into smaller, more manageable parts
• Divide and Conquer


  Breaking down problems into smaller sub-problems and solving them recursively
• Computational Thinking 


  Using fundamental computer science principles to help solve problems