COMPUTER SCIENCE AND ENGINEERING
ALGORITHMS
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Understanding a complex problem and developing possible solutions.
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Breaking a task into smaller tasks.
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Selecting a computer to use.
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Focusing on what is important, ignoring what is unnecessary.
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Detailed explanation-1: -A complex problem is one that, at first glance, we don’t know how to solve easily. Computational thinking involves taking that complex problem and breaking it down into a series of small, more manageable problems (decomposition).
Detailed explanation-2: -Computational thinking is an approach to solving problems using concepts and ideas from computer science, and expressing solutions to those problems so that they can be run on a computer.
Detailed explanation-3: -So, like programmers, those who apply computational thinking techniques will break down problems into smaller, simpler fragments, and then outline solutions to address each problem in terms that any person can comprehend.
Detailed explanation-4: -Thinking through problems this way is Computational Thinking. Computational Thinking allows us to take complex problems, understand what the problem is, and develop solutions. We can present these solutions in a way that both computers and people can understand.
Detailed explanation-5: -Computational Thinking (CT) is a problem solving process that includes a number of characteristics and dispositions. CT is essential to the development of computer applications, but it can also be used to support problem solving across all disciplines, including math, science, and the humanities.