计算思维是运用计算机科学的基础概念进行问题求解、系统设计、以及人类行为理解等涵盖计算机科学之广度的一系列思维活动,由周以真于2006年3月首次提出。2010年,周以真教授又指出计算思维是与形式化问题及其解决方案相关的思维过程,其解决问题的表示形式应该能有效地被信息处理代理执行。
趣味案例教学是基于计算思维的思想,计算思维(Computational Thinking)作为国际学术界近年来普遍认可和倡导的理念,关注将计算机学科解决问题的方式运用于其他学科和人们的日常生活,既有利于以类比形...
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It is proposed at last that the study of the computer science thought history will be useful to both research on computational thinking and methodology of computer science and technology.
强调计算科学方法论研究对计算思维研究的重要性,同时指出计算科学思想史研究将对计算思维和计算科学方法论的研究产生积极作用。
参考来源 - 再谈计算机思维·2,447,543篇论文数据,部分数据来源于NoteExpress
这段演讲指出了传统应用开发方式和效用计算思维方式的区别。
This session pointed out the differences between a traditional application development approach and a utility computing mindset.
我会尽量回到这个想法上来,不过我将继续把它叫做计算思维。
I'm going to keep coming back to that idea, but I'm going to call it computational thinking.
好,我想让你们掌握的第一个技能就是,希望你们能使用,计算思维的基本工具,来编写小规模的程序。
Right, the first skill we want you to acquire, is we want you to be able to use the basic tools of computational thinking to write small scale programs.
It's 33, 32, it's only 32 times and you can check that math at home but here lies the power of algorithmic thinking, of computational thinking as they say.
你需要33,32,对,32次,你也可以在家里自己计算,但数学算法的力量是无穷的,这就是科学家们所谓的计算机思维。
And part of the reason for putting it up is that I want to, as much as possible, answer that question by separating out the mechanism, which is the computer from computational thinking. Right.
提出这个问题的原因有一部分在于,我想尽量,将计算机与,计算思维分开,来回答它。
And that's when things really get interesting and so this just hints at the types of thinking that one can derive from the field of computer science and apply either to the field itself of computer science, or whatever domain it is that you are here too study.
这样就开始有意思起来了,这仅仅是我们从计算机科学领域,获得的一些思维方式上的启示,这种思维方式不仅适用于计算机科学本身,也同样可以应用在其他的学习领域。
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