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Computational Thinking

作者：彼得·J·丹宁

出版年：2019-5-14

评分：8.4

ISBN：9780262536561

所属分类：行业好书

书刊介绍

内容简介

An introduction to computational thinking that traces a genealogy beginning 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 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. The authors identify six dimensions of today's highly developed CT--methods, machines, computing education, software engineering, computational science, and design--and cover each in a chapter. Along the way, they debunk inflated claims for CT and computation while making clear the power of CT in all its complexity and multiplicity.

作品目录

Series Foreword
Preface
Acknowledgments
1. What Is Computational Thinking?
2. Computational Methods
3. Computing Machines
4. Computer Science
5. Software Engineering
6. Designing for Humans
7. Computational Science
8. Teaching Computational Thinking for All
9. Future Computation
Epilogue: Lessons Learned
Glossary
Notes
References and Further Reading
Index
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