Courses tagged with "Computer Science" (735)

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Starts : 2016-04-30
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edX Free Closed [?] English Computer Science EdX Math PekingX

算法设计与分析是计算机科学的核心课程之一。在了解了分治策略、动态规划、贪心法、回溯和分支限界等基本的算法设计技术的基础上,通过线性规划和网络流算法的学习,可以进一步掌握两类重要问题的建模和算法设计方法。此外,面对实际问题,只有对问题的性质有着清晰的分析,才能提出有效的解决方案。需要进一步考虑的是:怎么估计这个问题的难度?最好的算法的效率有多高?这些都涉及到问题复杂度的分析与计算复杂性理论。通过本课程的学习,可以了解有关计算复杂性理论的基础知识、方法和应用,学习近似算法、随机算法等更多的算法设计技术和分析方法,进一步提高处理复杂问题的能力。

Starts : 2014-09-11
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Coursera Free Closed [?] Computer Science Systems & Security

This course will introduce basic concepts of computer programming. We will use C as the language to teach student how to write computer programs to solve problems.

Starts : 2017-02-20
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edX Free Closed [?] English Computer Science EdX TsinghuaX

Geometry can be traced back to ancient Greece, but Computational Geometry evolved less than 40 years as a branch of computer science. The Computational Geometry taught in this course is derived from classical discrete/combinatorial geometry and modern computer science.

Computational Geometry first appeared on the horizon when M. I. Shamos presented his Ph.D. dissertation in 1978. Since then, this phrase has been used to refer to algorithmic study on discrete and combinatorial geometric structures and can also be regarded as the geometric version of Algorithm Design and Analysis. Computational Geometry is now considered the basis of robotics, computer aided design and manufacturing (CAM and CID), and geographic information systems (GIS).

众所周知,几何学的历史至少可追述至古希腊时代,但不同人对“计算几何”的理解却不尽相同。本课程讨论的计算几何,源自于古典离散/组合几何学与现代计算机科学的结合。M. I. Shamos在1978年完成的博士论文,标志着这个学科分支的诞生。从那时起,“计算几何”往往特指针对离散与组合几何结构的算法研究。简而言之,她也可认为是算法设计与分析的几何版。

本课程的教学目标有三:

其一、对计算几何理论的总体认识,在日后的研究工作中,这种认识为你提供几何的视角
其次、对几何问题求解范式及策略的全面领会,包括递增式构造、平面扫描、分而治之、分层化、近似以及随机化等
最后、对基本几何结构及其算法的透彻掌握,包括凸包、多边形细分、Voronoi图、Delaunay三角剖分,以及几何求交、点定位、范围查找、截窗查询等

Starts : 2015-07-06
No votes
Coursera Free Closed [?] Computer Science Computer Science Systems & Security Theory

主要介绍高级语言程序中的数据类型及其运算、语句和过程调用等的机器级表示、转换与链接。

Starts : 2015-03-09
No votes
Coursera Free Closed [?] Computer Science Systems & Security

本课程重点讲述计算机的内部结构和工作原理,着眼于软件和硬件的衔接互动,注重基本概念和真实系统的对应。

Starts : 2015-09-21
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Coursera Free Closed [?] Computer Science Information Software Engineering Tech & Design

讲授计算机辅助翻译技术的基本概念,及多种辅助翻译工具的原理和使用方法,锻炼学生在技术环境下从事翻译工作等其他各类语言服务工作的能力,并帮助学生理解信息化时代的语言服务工作。 This course introduces the basic concepts of computer-aided translation technology and helps students learn to use computer-aided translation tools.

Starts : 2014-02-24
No votes
edX Free Closed [?] Computer Sciences English Computer Science EdX Literature PekingX

This course is presented in Mandarin.

If you are having difficulty viewing this video in mainland China, you can also find it here.

课程介绍视频也可以访问中国网站

点击上方绿色按钮报名。

本课程适用于翻译硕士专业研究生、外语专业高年级本科生、翻译工作者以及外语爱好者等。

现代语言服务行业要求从业人员必须具有利用计算机及网络来使用各类技术辅助工具帮助其工作的能力,而不是仅仅学会几款狭义的计算机辅助翻译软件。

本课程主要讲授计算机辅助翻译技术的基础概念,学习多种计算机辅助翻译工具的使用方法,锻炼学生在技术环境下从事翻译工作等各类语言服务工作的能力,帮助学生理解信息化时代的语言服务工作。

课 程完整涵盖现代语言服务的基本情况介绍、翻译技术基本概念、语言服务项目执行过程的信息环境与信息技术、如何利用电子辞典、网络资源及语料库工具辅助翻译 工作、狭义和广义的计算机辅助翻译工具原理及实战演练、翻译内容质量评定、多人协同翻译项目、翻译管理等多方面的内容。作为翻译类专业学生的必修课程,本 课程适合语言类专业学生学习。通过课程的学习,有助于学习者了解现代语言服务行业,增强各类计算机辅助翻译工具的使用技能,提高包括翻译工作在内的各类语 言服务工作的效率。

该课程是“北大-德稻网络公开课程”中的一门,由北京大学与德稻教育联合提供。

This course is suitable for postgraduate students who major in Translation and Interpreting, undergraduate students majoring in foreign language, translators and language enthusiasts.

Those who work in modern language service industry are required to be capable of using computers and Internet to aid their translation job by adapting a variety of efficient tools, rather than just using word processor tools and several basic computer-aided translation software.

This course teaches the basic concepts of computer-aided translation technology, helps students learn to use a variety of computer-assisted translation tools, enhances their ability to engage in various kinds of language service in such a technical environment, and helps them understand what the modern language service industry looks like.

This course covers introduction to modern language services industry, basic principles and concepts of translation technology, information technology used in the process of language translation, how to use electronic dictionaries, Internet resources and corpus tools, practice of different computer-aided translation tools, translation quality assessment, basic concepts of machine translation, globalization, localization and so on. As a compulsory course for students majoring in Translation and Interpreting, this course is also suitable for students with or without language major background. By learning this course, students can better understand modern language service industry and their work efficiency will be improved for them to better deliver translation service.

The course is one of the PKU-DeTao MOOCs, which is a joint effort by Peking University and DeTao Masters Academy.

Are there any reference books for this course?

Students are recommended to read at least the following books.

  1. Lynne Bowker, Computer Aided Translation, University of Ottawa Press, Ottawa,2002
  2. Frank Austermühl, Electronics Tools for Translators, St. Jerome Publishing, Manchester,2001

Will this course provide an English course video?

Will this course provide an English course video?

本课程是否有参考教材?

为了能够更好得了解本课程所涉及的内容,学生可以阅读下面的资料:

  1. Lynne Bowker, Computer Aided Translation, University of Ottawa Press, Ottawa, 2002
  2. Frank Austermühl Electronics Tools for Translators, St. Jerome Publishing, Manchester, 2001(外研社曾翻印过,2006/07)
  3. 史宗玲,计算机辅助翻译:MT&TM,书林出版有限公司,台北,2004
  4. C.K. Quah, Translation and Technology, 上海外语教育出版社,2008
 

Starts : 2015-04-01
No votes
Coursera Free Closed [?] Computer Science Software Engineering

理解软件测试原理,掌握软件测试方法,实践软件测试技术

Starts : 2015-03-02
No votes
Coursera Free Closed [?] Computer Sciences Computer Science Software Engineering

通过大量、丰富、完整、不同领域、应用不同技术的案例,深入、完整地讲解当今主流的面向对象软件开发方法的分析、设计及实现方法。

Starts : 2015-07-01
No votes
Coursera Free Closed [?] Computer Science Theory

这门课程将帮助学生学习如何运用高级的数据结构和相关算法解决复杂的应用问题。 This course will help students learn how to apply advance data structures and algorithms solving complex real-world problems.

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