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计算机科学概论

计算机科学概论
作者: J. 格伦•布鲁克希尔
格式:EPUB/MOBI/AZW3
时间:2024-01-14
豆瓣评分:9.3

内容简介

  内容简介

  计算机科学的全景式展现。

  首屈一指的导论性教材。

  经典传承,新知荟萃。

  被哈佛大学、加州大学等多所大学采用为教材。

  本书多年来一直深受世界各国高校师生的欢迎,是哈佛大学、麻省理工学院、普林斯顿大学、加州大学伯克利分校等著名大学对应课程的首选教材,对我国的高校相关教学也产生了广泛的影响。本书以历史的眼光,从发展的角度、当前的技术水平以及现阶段的研究方向等几个方面,全景式描述了计算机科学各个子学科的主要研究领域。在内容编排上,本书用算法、数据抽象等核心思想贯穿各个主题,合理地兼顾了学科广度和主题深度,并且充分体现了各个主题的历史背景、发展历程和新的技术趋势,培养读者的大局观,为今后深入学习其他计算机专业课程打下坚实的基础。

  作者简介

  J.Glenn Brookshear世界知名的计算机科学教育家。他在1975年获得新墨西哥州立大学博士后,创办了Marquette大学的计算机科学学位项目,并在该校任教至今。他的主要研究方向是计算理论。除了本书之外,他还著有《Theory of Computationr:Formal Languages,Automata,and Complexity》。




Content introduction

Panoramic presentation of computer science.

The premier introductory textbook.

Classic heritage, new knowledge gathered.

It has been used as a textbook by many universities such as Harvard University and the University of California.

For many years, this book has been well received by teachers and students in universities all over the world. It is the preferred textbook for corresponding courses of Harvard University, Massachusetts Institute of Technology, Princeton University, University of California Berkeley and other famous universities, and has also had a wide influence on the relevant teaching of universities in China. From a historical perspective, this book provides a panoramic description of the main research fields of each sub-discipline of computer science from the perspective of development, current technical level and current research direction. In terms of content arrangement, this book uses algorithms, data abstraction and other core ideas to run through each theme, reasonably taking into account the breadth and depth of the subject, and fully reflects the historical background, development history and new technical trends of each theme, so as to cultivate readers' overall outlook and lay a solid foundation for further learning of other computer professional courses in the future.

About the author

J.g. Brookshear is a world-renowned computer science educator. He earned a postdoctoral fellowship at New Mexico State University in 1975 and founded the computer science degree program at Marquette University, where he has taught since. His main research interest is computational theory. He is the author of Theory of Computationr:Formal Languages,Automata,and Complexity.

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