COMPUTATIONAL THINKING

COMPUTATIONAL THINKING

1. to understand the problem and find solutions

2. Decomposition

   • to break down a problem into smaller parts so it is more manageable and easy to understand.
   • How iis it used ?
     • by considering every detail of the situation such as what, where, how, when, which, etc. so it can be examined

3. Logical reasoning

   • to explain WHY something is the way it is, because of previous knowledge
   • How is it used in computing?
     • to predict the outcomes of the algorithms that are designed to solve a problem, to help select the best solution

4. Problem

   • situation, person, or thing that needs attention and needs to be dealt with or solved

5. Abstraction

   • process of deciding which details we need to highlight and which don´t.

6. Algorithm

   • sequence of instructions to get something done
   • EXAMPLES
     • -when you take a photo.
     • when you bake a pie
     • -to take the fastest route from home to school
     • - when you make a sandwich
     • when you open a package of cookies.

7. Pattern recognition

   • to find similiarities or patterns among decomposed problems so they can be solved more efficiently.