What is decomposition in computational thinking?

Decomposition in computational thinking refers to the process of breaking down a complex problem into smaller, more manageable parts. This approach makes it easier to understand the intricacies of the problem, as each smaller component can be addressed individually. By working on these parts one at a time, solutions can be developed more effectively and efficiently.

This methodology is fundamental in programming and problem-solving because it allows for systematic analysis and may lead to discovering solutions that might not be evident when viewing the problem as a whole. Furthermore, it promotes organization and clarity, enabling better collaboration and communication among team members, as each person can take responsibility for a specific aspect of the problem.

In contrast to other options, combining multiple problems into one or ignoring parts of a problem can complicate problem-solving efforts. Simply executing a problem without planning typically leads to inefficient solutions and potentially overlooks important details.