2.4.1 Decomposition

Imagine you have a giant, complicated LEGO set with thousands of pieces. If you just dump them all out and try to build the whole thing at once, it would be overwhelming, right?

Decomposition is the first tool in our computational thinking toolbox. It means breaking down a big, complicated problem into smaller, more manageable parts. Each small part is easier to understand and solve on its own.

How it works: When you decompose a problem, you ask yourself:

What are the main parts of this big problem?
Can I split this big task into several smaller tasks?
What do I need to do first, second, and so on?

Example: Let's say your big problem is "Plan a surprise birthday party for your friend." Using decomposition, you might break it down into smaller tasks like:

Make a guest list.
Send out invitations.
Choose a theme.
Decorate the house.
Order food and drinks.
Buy a cake.
Pick out a gift.

Each of these smaller tasks is much easier to manage than the giant "Plan a party" problem. Once you solve all the small parts, the big problem is solved!

Bibliography:

Code.org: https://code.org/