Computational Thinking by Peter J. Denning

Peter J. Denning . Unknown Year . English

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.

Categories: Creative Thinking / Creativity

About the Author

Peter Denning was born in Brooklyn, New York, and raised in Darien, Connecticut. He was interested in science from an early age and began building electronic circuits as a teenager. His computer built from pinball machine parts won the science fair in 1959, launching him into the new field of computing. At MIT for his doctorate in 1968, he worked on prototypes of computer utilities, precursors of today’s “cloud computing”. He became an educator and taught computer science at Princeton, Purdue, George Mason University, and Naval Postgraduate School. He was a pioneer in operating systems and computer networks and invented the “working set”, a way of automatically managing data flows in memory that is widely used in modern operating systems from desktops to smartphones. A strong advocate of computing as a domain of science on par with the traditional physical, life, and social sciences, he has codified the Great Principles of Computing. In the 1980s, while directing a research lab at NASA Ames Research Center, he became interested in how he could teach his students and researchers to be successful innovators, broadening his attentions to the human practices of technology adoption. He has won over two dozen awards for his work in computing science and education. He is a past president of ACM, the oldest scientific society in computing.

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