2 examples of computational thinking
Answers
Explanation:
decomposition - breaking down a complex problem or system into smaller, more manageable parts. pattern recognition – looking for similarities among and within problems. abstraction – focusing on the important information only, ignoring irrelevant detail..
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Answer:
What is computational thinking?
Computers can be used to help us solve problems. However, before a problem can be tackled, the problem itself and the ways in which it could be solved need to be understood.
Computational thinking allows us to do this.
Computational thinking allows us to take a complex problem, understand what the problem is and develop possible solutions. We can then present these solutions in a way that a computer, a human, or both, can understand.The four cornerstones of computational thinking
There are four key techniques (cornerstones) to computational thinking:
→decomposition - breaking down a complex problem or system into smaller, more manageable parts
→pattern recognition – looking for similarities among and within problems
→abstraction – focusing on the important information only, ignoring irrelevant detail
→algorithms - developing a step-by-step solution to the problem, or the rules to follow to solve the problem
Each cornerstone is as important as the others. They are like legs on a table - if one leg is missing, the table will probably collapse. Correctly applying all four techniques will help when programming a computer.
Explanation:
decomposition - breaking down a complex problem or system into smaller, more manageable parts. pattern recognition – looking for similarities among and within problems. abstraction – focusing on the important information only, ignoring irrelevant detail..