Computational Thinking - Decomposition

What do we mean by COMPUTATIONAL THINKING?

• Understanding a complex problem and developing possible solutions.

• Breaking a task into smaller tasks.

• Selecting a computer to use.

• Focusing on what is important, ignoring what is unnecessary.

Define DECOMPOSITION

• Breaking a task into smaller tasks.

• Looking for similarities and trends.

• A sequence of instructions.

• Focusing on what is important and ignoring what is unnecessary.

What is computational thinking?

• It allows you to break down a large / complex problem into smaller parts.
• It is thinking like a robot
• It is being able to bake a cake.
• It is creating a coding solution to a problem.

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

• Decomposition
• Abstraction
• Programming
• Algorithmic Thinking

If you had multiple problems and needed to make it easier for yourself what process might you use?

• Abstraction

• Algorithmic thinking

• Decomposition

• Recognising the pattern

What are the four cornerstones of computational thinking?

• Programming, flowcharts and pseudo code

• Abstraction, decomposition, pattern recognition, algorithms

• Input, processing and output

• Patterns, shapes and numbers

Which of the following is not done by decomposition?

• Allows multiple people to work on the problem together

• Disregards non-essential information

• Breaks the problem down into smaller tasks

This is a good example of decomposition

Sit down

Do homework

• True

• False

Decomposition allows each task to become _______

• More manageable

• Easier

• Quicker

Decomposition allows the entire task to be completed as _____

• A Team

• A Whole

• Quickly as possible