《计算思维》(The MIT Press)有声书

2019 | English | B07QHWVMFF | MP3 128 kbps | 5 hours and 56 minutes | 326 MB

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.

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.

在数字时代步入数个世纪后，科学家们发现采用计算思维可以实现一种全新的科学探索方式；最终，每一领域都拥有了自己的计算分支：计算物理、计算生物学、计算社会学。最近，“计算思维”已成为K-12教育体系的一部分。那么什么是计算思维呢？MIT Press《必备知识系列》的这一卷提供了一个易于理解的概述。 作者解释说，计算思维（CT）不是编程的概念集合；它是一种通过练习逐渐发展起来的思维方式：设计算法来为我们完成工作以及通过信息处理系统的复杂网络解释和解读世界的思维技能。数学训练有素的专家（被称为“计算机”）在电子计算机诞生之前就已经长期运用CT进行复杂的计算任务。作者指出，今天发达计算思维包含六个维度——方法、机器、计算教育、软件工程、计算科学和技术设计，并在每一章节都涵盖了这些内容。在这一过程中，他们既解构了关于计算思维和计算的夸大说法，又清晰地展示了计算思维在复杂性和多样性的所有方面所具有的力量。

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