1.1 Computational thinking

1.1 Computational thinking

1. 1.1.1 Abstraction and decomposition thinking

   • Abstraction
     • Abstraction is a technique that simplifies the problem by removing unnecessary details so that you can focus on the important parts, that are relevant to the problem.
     • Example: 1)maps are classed as examples. they leave out many details in order to focus on the important information, e.g. road or landmarks
     • Example: 2) money is an abstract concept. Money as no real value, but it represents the value of goods and services.

2. 1.1.2 Algorithmic thinking

   • Algorithmic thinking is a way of solving problems by producing algorithms
   • Algorithms
     • An algorithm is a reuseable