What does it mean to "decompose" a problem in computational thinking?

Decomposing a problem in computational thinking refers to the practice of breaking down a complex problem into smaller, more manageable parts. This technique allows individuals to focus on one aspect of the problem at a time, making it easier to develop solutions for each smaller piece. By simplifying a larger problem into its fundamental components, it becomes easier to understand the problem as a whole and address each part systematically. Decomposition is a critical skill in computer science, as it helps in structuring and organizing thoughts, leading to more efficient problem-solving and programming practices.

In the context of computational thinking, this method helps learners and practitioners tackle challenges by identifying specific tasks or sub-problems that can be solved individually before piecing them together into a complete solution. This structured approach is fundamental in both algorithm design and code development, where complex systems and programs must be constructed from simpler elements.