Computational thinking
By: Denning, Peter J.
Contributor(s): Tedre, Matti.
Series: The MIT press essential knowledge series. Publisher: Cambridge MIT Press 2019Description: xviii, 242p.ISBN: 9780262536561.Subject(s): Computer algorithms | Computer logic | Electronic data processing -- Social aspects | Electronic data processingDDC classification: 005.1 | D422c Summary: 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, and 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 about CT and computation while making clear the power of CT in all its complexity and multiplicity.Item type | Current location | Collection | Call number | Status | Date due | Barcode | Item holds |
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Books | PK Kelkar Library, IIT Kanpur | General Stacks | 005.1 D422c (Browse shelf) | Available | A185742 |
Browsing PK Kelkar Library, IIT Kanpur Shelves , Collection code: General Stacks Close shelf browser
005.1 C814I2 INTRODUCTION TO ALGORITHMS | 005.1 C814I2 INTRODUCTION TO ALGORITHMS | 005.1 C814I2 INTRODUCTION TO ALGORITHMS | 005.1 D422c Computational thinking | 005.1 Ev64a Evolutionary algorithms and intelligent tools in engineering optimization | 005.1 G341a Applied evolutionary algorithms in Java | 005.1 G343f2 Fundamentals of software engineering |
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, and 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 about CT and computation while making clear the power of CT in all its complexity and multiplicity.
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