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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
The methods used to design a solution include: Flowcharts: Diagrams that represent the steps of a process in a sequential manner. Pseudocode: A textual representation of the steps of an algorithm, written in an easy-to-understand format. IPO Charts: Diagrams that show the input, process, and output of a program. Prototyping: Creating an early model or … Read more
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
Software designers prefer using IPO (Input-Process-Output) charts because they provide a simple and clear way to visualize the flow of a program. IPO charts help in identifying the data needed for the program (input), the operations or processes that must be performed on that data (process), and the result that is produced (output). This structured … Read more
The major difference between simple and complex problems lies in the scope and number of variables involved. Simple problems usually have clear, straightforward solutions that require less time and effort to solve. Complex problems, on the other hand, have multiple components, uncertain factors, or a variety of constraints, making them more difficult to solve. Solving … Read more