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。

哈佛公开课 - 计算机科学课程节选

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。

麻省理工公开课 - 计算机科学及编程导论课程节选

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。

哈佛公开课 - 计算机科学课程节选

I'm going to keep coming back to that idea, but I'm going to call it computational thinking.

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。

麻省理工公开课 - 计算机科学及编程导论课程节选

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.

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。

麻省理工公开课 - 计算机科学及编程导论课程节选

What in the world does it mean to say computational mode of thought?

计算模式的思维,到底是什么意思呢？

麻省理工公开课 - 计算机科学及编程导论课程节选

I want to talk about the goal of the course, what it is you'll be able to do at the end of this course when you get through it, and then I want to begin talking about the concepts and tools of computational thinking, which is what we're primarily going to focus on here.

我想讲讲课程目标，也就是当你们完成了这门课时,应该达到的程度，接下来我想开始谈谈,计算思维的概念和方法，即这门课程的核心内容。

麻省理工公开课 - 计算机科学及编程导论课程节选