Computational Thinking

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

• Decomposition
• Abstraction
• Programming
• Algorithmic Thinking

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

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 complaex

Which of these is an example of decomposition?

• Breaking the problem of organising 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.

Why do we need to think computationally?

• To help us program
• To help us solve complex problems more easily
• To help us to think like a computer

Which of the following is NOT a computational thinking technique?

• Decomposition
• Abstraction
• Coding

When is a computer most likely to be used when using computational thinking?

• During decomposition
• At the end, when programming a computer
• When writing algorithms