Computational thinking

1. Breaking a complex problem down into smaller problems and solving each one individually.

• Decomposition

• Abstraction

• Programming

• Algorithmic Thinking

2. Picking out the important bits of information from the problem, ignoring the specific details that don't matter.

• Decomposition

• Abstraction

• Programming

• Algorithmic Thinking

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

• Decomposition

• Abstraction

• Programming

• Algorithmic Thinking

4.Which of these is an example of decomposition?

• Breaking the problem of organizing a cake sale into smaller parts, such as who will bake the cakes and when to hold the cake sale.

• Taking the problem of baking a cake and thinking about how we can make it the best cake possible.

• Looking at what different kinds of cake can be made.

5. Which of these would not be involved in decomposing a problem

• Thinking about how the problem could be divided into smaller parts

• Working out who could help you solve a part of the problem

• Adding more parts to the problem so it becomes more complex