An introduction to the difference between a human and a computer

To develop that skill you need to have a sense of how computer memory works. It is actually quite complex and only a few experts actually understand all of the details.

An introduction to the difference between a human and a computer

I'm a professor of electrical engineering and computer science.

An introduction to the difference between a human and a computer

I'm going to be co-lecturing 6. And we hope you're going to have a fun time in 6. What I want to do today is spend literally a minute or so on administrative details, maybe even less. What I'd like to do is to tell you to go to the website that's listed up there and read it.

And you'll get all information you need about what this class is about from a standpoint of syllabus; what's expected of you; the problem set schedule; the quiz schedule; and so on and so forth.

Clustering (or Cluster Analysis)

I want to dive right in and tell you about interesting things, like algorithms and complexity of algorithms. I want to spend some time giving you an overview of the course content. And then we're going to dive right in and look at a particular problem of peak finding-- both the one dimensional version and a two dimensional version-- and talk about algorithms to solve this peak finding problem-- both varieties of it.

And you'll find that there's really a difference between these various algorithms that we'll look at in terms of their complexity. And what I mean by that is you're going to have different run times of these algorithms depending on input size, based on how efficient these algorithms are.

And a prerequisite for this class is 6. And you'll see that in this lecture we'll analyze relatively simple algorithms today in terms of their asymptotic complexity. And you'll be able to compare and say that this algorithm is fasten this other one-- assuming that you have large inputs-- because it's asymptotically less complex.

So let's dive right in and talk about the class. So the one sentence summary of this class is that this is about efficient procedures for solving problems on large inputs. And when I say large inputs, I mean things like the US highway system, a map of all of the highways in the United States; the human genome, which has a billion letters in its alphabet; a social network responding to Facebook, that I guess has million nodes or so.

So these are large inputs. Now our definition of large has really changed with the times. And so really the 21st century definition of large is, I guess, a trillion.

Back when I was your age large was like 1, Back when Eric was your age, it was a million. We have the capability of computing on large inputs, but that doesn't mean that efficiency isn't of paramount has been an NCCRS member since October The mission of is to make education accessible to everyone, everywhere.

An introduction to the difference between a human and a computer

Students can save on their education by taking the online, self-paced courses and earn widely transferable college credit recommendations for a fraction of the cost of a traditional . In this lecture, Prof.

Winston introduces artificial intelligence and provides a brief history of the field.

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The last ten minutes are devoted to information about the course at MIT. I would like to know the functional/ conceptual differences between LLC and MAC this distinction is necessary? Thanks, Arut. locked by Robert Harvey ♦ Mar 20 '12 at This question exists because it has historical significance, but it is not considered a good, on-topic question for this site, so please do not use it as evidence that you can ask similar questions question and its answers are frozen and cannot be changed.

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