Computer Science: Algorithms, Theory, and Machines

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课程主页: https://www.coursera.org/archive/cs-algorithms-theory-machines

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Princeton University

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This course introduces the broader discipline of computer science to people having basic familiarity with Java programming. It covers the second half of our book Computer Science: An Interdisciplinary Approach (the first half is covered in our Coursera course Computer Science: Programming with a Purpose, to be released in the fall of 2018). Our intent is to demystify computation and to build awareness about the substantial intellectual underpinnings and rich history of the field of computer science. First, we introduce classic algorithms along with scientific techniques for evaluating performance, in the context of modern applications. Next, we introduce classic theoretical models that allow us to address fundamental questions about computation, such as computability, universality, and intractability. We conclude with machine architecture (including machine-language programming and its relationship to coding in Java) and logic design (including a full CPU design built from the ground up). The course emphasizes the relationships between applications programming, the theory of computation, real computers, and the field's history and evolution, including the nature of the contributions of Boole, Shannon, Turing, von Neumann, and others. All the features of this course are available for free. No certificate will be offered upon completion.

计算机科学:算法,理论和机器:本课程向基本熟悉Java编程的人们介绍计算机科学的更广泛学科。它涵盖了我们的书《计算机科学:一种跨学科的方法》的后半部分(上半期将在我们的Coursera课程《计算机科学:有目的的编程》中进行介绍,该课程将于2018年秋季发行)。我们的意图是使计算神秘化,并使人们对计算机科学领域的实质性知识基础和丰富的历史提高认识。 首先,在现代应用程序的背景下,我们介绍了经典算法以及用于评估性能的科学技术。接下来,我们介绍经典的理论模型,使我们能够解决有关计算的基本问题,例如可计算性,通用性和难处理性。我们以机器体系结构(包括机器语言编程及其与Java编码的关系)和逻辑设计(包括从头开始构建的完整CPU设计)为结尾。 该课程强调应用程序编程,计算理论,真实计算机以及该领域的历史和演变之间的关系,包括Boole,Shannon,Turing,von Neumann等人贡献的性质。 本课程的所有功能均免费提供。完成后将不提供证书。

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