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Computational ThinkingAuthor Contributor(s): Denning, Peter J.; Tedre, Matti Publisher: The MIT Press Date: 5 14 2019 Binding: Paperback Condition: NEW This pocket sized introduction to computational thinking and problem solving traces its genealogy centuries before the digital computer. A few decades into the digital era, scientists discovered that thinking in terms of computation made possible an entirely new way of organizing scientific investigation. Eventually, every
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Author/Contributor(s): Denning, Peter J.; Tedre, Matti
Publisher: The MIT Press
Date: 5/14/2019
Binding: Paperback
Condition: NEW
This pocket-sized introduction to computational thinking and problem-solving traces its genealogy centuries before the digital computer.

A few decades into the digital era, scientists discovered that thinking in terms of computation made possible an entirely new way of organizing scientific investigation. Eventually, every field had a computational branch: computational physics, computational biology, computational sociology. More recently, “computational thinking” has become part of the K–12 curriculum. But what is computational thinking? This volume in the MIT Press Essential Knowledge series offers an accessible overview—tracing a genealogy that begins centuries before digital computers and portraying computational thinking as the pioneers of computing have described it.

The authors explain that computational thinking (CT) is not a set of concepts for programming; it is a way of thinking that is honed through practice: the mental skills for designing computations to do jobs for us, and for explaining and interpreting the world as a complex of information processes. Mathematically trained experts (known as “computers”) who performed complex calculations as teams engaged in CT long before electronic computers. In each chapter, the author identify different dimensions of today's highly developed CT:

Computational Methods
Computing Machines
Computing Education
Software Engineering
Computational Science
Design

Along the way, they debunk inflated claims for CT and computation while making clear the power of CT in all its complexity and multiplicity.

Computational Thinking

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