How computational thinking supports the development of computer applications and problem solving across all disciplines.
Describe how computational thinking supports the development of computer applications and problem solving across all disciplines.
2.1. Identify the elements of computational thinking
2.2. Decompose a problem to create a sub-solution for each
of its parts
2.3. Use common patterns and order to analyze data relevant
to the problem
2.4. Draw relevant information to solve a certain problem
2.5. Develop an ordered series of instructions for solving a
similar problem or for doing a task
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Describe how computational thinking supports the development of computer applications and problem solving across all disciplines.
2.1. Identify the elements of computational thinking
2.2. Decompose a problem to create a sub-solution for each
of its parts
2.3. Use common patterns and order to analyze data relevant
to the problem
2.4. Draw relevant information to solve a certain problem
2.5. Develop an ordered series of instructions for solving a
similar problem or for doing a task
BRAINLIEST ANSWER TO THE CORRECT ANSWER. THANK YOU
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Answer:
2.1. The characteristics that define computational thinking are decomposition, pattern recognition / data representation, generalization/abstraction, and algorithms. By decomposing a problem, identifying the variables involved using data representation, and creating algorithms, a generic solution results.
2.2. The power of computational thinking starts with decomposition, which is the process of breaking down complex problems into smaller, more manageable parts. ... This process of breaking down problems enables us to analyze the different aspects of them, ground our thinking, and guide ourselves to an end point.
2.3. A pattern is a series of data that repeats in a recognizable way. It can be identified in the history of the asset being evaluated or other assets with similar characteristics. Patterns often include the study of sale volume, as well as price.
2.4.
2.5.
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