TY - BOOK ID - 46308744 TI - Computational thinking AU - Denning, Peter J AU - Tedre, Matti AU - IEEE Xplore (Online service) AU - MIT Press PY - 2019 SN - 9780262536561 9780262353410 0262353415 0262536560 PB - Cambridge [Piscataqay, New Jersey] MIT Press IEEE Xplore DB - UniCat KW - Computer algorithms KW - Computer logic KW - Electronic data processing KW - Social aspects KW - Algorithmes KW - Logique informatique KW - Informatique KW - Aspect social KW - Computers KW - Office practice KW - ADP (Data processing) KW - Automatic data processing KW - Data processing KW - EDP (Data processing) KW - IDP (Data processing) KW - Integrated data processing KW - Logic, Symbolic and mathematical KW - Computer science logic KW - Algorithms KW - Automation KW - Electronic data processing - Social aspects UR - https://www.unicat.be/uniCat?func=search&query=sysid:46308744 AB - 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. ER -