COMPUTATIONAL THINKING

Which computational thinking technique breaks down a problem into smaller parts?

The computational thinking technique that breaks down a problem into smaller parts is Decomposition. Decomposition involves dividing a complex problem into smaller, more manageable sub-problems that can be solved individually. This makes it easier to focus on specific aspects of the problem and work through them systematically. Related Questions: What is the major difference between … Read more

Write four properties of computational thinking.

The four properties of computational thinking are: Decomposition: Breaking down complex problems into smaller, more manageable parts. Pattern Recognition: Identifying similarities or trends within the data or problem. Abstraction: Simplifying a problem by focusing on the important details while ignoring unnecessary complexity. Algorithm Design: Creating step-by-step instructions (algorithms) to solve a problem or perform a … Read more

Computational Thinking And Algorithms

Related Questions: COMPUTATIONAL THINKING & ALGORITHMS What is the function and significance of Napier’s Bone in early computing? How did Charles Babbage’s Difference Engine differ from the Analytical Engine? What is the primary goal of fifth-generation computers? Name the three types of memory mentioned on the motherboard in the Von Neumann architecture. Differentiate between volatile … Read more