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So you're going to be able to take a description of a problem and map it into something computational.
因此你们能拣出,一个问题的主要描述,并将其编成计算性的东西。
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And just as a fun aside, we also realized as computer scientists that sometimes technology is not the answer.
抛开趣味性不提，我们意识到作一个,计算机科学家来说技术,并不是我们要的最终答案。
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Literally, return the control from this function, and take the value of the next expression, and return that as the value of the whole computation.
正如字面意义上说的，从这个函数返回，然后取得下一个表达式的值,并把这个值作为整个计算的结果返回。
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So, there is a way to go from the unprimed coordinates to the prime coordinate by rotating your axis and actually calculating the components.
现在我们有一种方法可以从原坐标系,转变到新坐标系,只要旋转坐标轴,并实际地计算一下坐标即可
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So when a request is entered into this box, we do all kinds of semantic analysis, behavioral analysis, intelligent interaction with the user than massive computing and figure out what the user really wants.
当用户输入请求之后，将会对此请求进行各种语意分析，行为分析，并与用户进行智能交互,然后进行大量计算,来定位用户的真正需求。
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But because in many cases we can reasonably either model or measure equations of state, collect data for a material for its temperature, pressure, volume relations, then in fact if we can relate all these quantities to those then in fact we really can calculate essentially all of the thermodynamics. For the material.
但是因为在很多情况下,我们能够合理的给出状态方程的模型,或者通过收集一个物质的，温度，压强和体积之间的关系,来测量其状态方程，所以实际上我们可以给出压强等物理量,和热力学势之间的关系,并计算出所有的热力学势，对于给定的物质。
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I don't find that my analysis is profound in the final answer, I just took some estimates using my data and, again, we could-- if someone wanted to argue with us they could argue with my estimates of the expected returns of the standard deviations and the covariances, but not with this theory.
我在计算过程中并没有做太深入的分析，我只是用我的数据做了一下大概的估计,我再说一次，我们可以-,如果有人想就这个问题与我们争辩,他们可以争论我对期望收益的估计,或是争论标准差和协方差的估计值，但并不会针对理论本身。
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Now this is not the kind of stuff that computer scientists spend all their time doing, but it will germane.
现在，这并不是计算机科学家,要花费全部时间的地方，不过与此密切相关。
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It's going to let us bury away the specifics of something, and treat that computation like a black box. And by black box, I mean, literally behaves like a mysterious little black box.
通过抽象我们可以将一些细节,掩埋起来并将这一段计算当成黑盒,说到黑盒我的意思就是,字面上的像一个神秘的小黑盒。
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We won't talk about the BCS rankings, though So the idea here is a pretty simple one.
我们并不是在说英国计算机协会排名,所以我们要讲的概念很简单。
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The point I'm trying to make is, fixed-program computers is where we started, but it doesn't really get us to where we'd like to be.
我要指出的一点是，我们从固定程序计算机开始说起，但它并不能让我们到达我们想去的地方。
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Okay. I didn't see computer science in his background.
在他的知识背景中并没有计算机科学。
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To do that, we need to describe: not only, what are the primitives, but how do we capture things legally in that language, and interact with the computer?
为了达到这个目的，我们需要描述：,包括程序基本的东西，以及怎么在这种语言中，做我们想做的事情并和计算机交互？
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It's using its set of rules to deduce the value and print them back out.
计算器用自己的规则,去计算出结果来并返回。
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So adding dictionaries, as Professor Grimson said with so many other things, doesn't give you any more computational power.
正如Grimson教授所说的那样,数组并没有给你更好的计算能力，但是它让一些工作大大的方便化了。
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So we're not going to turn you into an expert on computational efficiency.
我们并不是要把你训练成,一个计算效率专家。
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itself and introduce Scratch, the programming language in an environment we looked at, but also some of the fundamentals that we'll lace throughout the course.
这周五我们就开始讲计算机科学，并在我们设定的环境下,介绍编程语言Scratch的用法，而且我们也会在课程中,捎带讲一些基础知识。
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If it's not in the memo, I'll compute its value and put it in the memo.
如果值没有保留在memo中，我要计算它的值,并把这个值存在memo中。
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Well we're seeing this famous computers are no damn good.
要运行compare方法,噢这些著名的计算机可能并没这么好。
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