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Lec 22 | MIT 6.00 Introduction to Computer Science and Programming, Fall 2008

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Uploaded by on Aug 19, 2009

Lecture 22: Normal, uniform, and exponential distributions; misuse of statistics

Instructors: Prof. Eric Grimson, Prof. John Guttag

View the complete course at: http://ocw.mit.edu/6-00F08

License: Creative Commons BY-NC-SA
More information at http://ocw.mit.edu/terms
More courses at http://ocw.mit.edu

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  • best lecture so far :)

  • I wish to attend his class someday.

  • I hope some day i can attend a class like this. Thank you MIT for making this content public. It is deeply helping me with my statistics midterm at UBA, Buenos Aires, Argentina.

  • Light is Wisdom...

    Wisdom is True Love...

    Thanks so much to MIT, for kindly and generously posting and sharing...

    The out-standing lessons and education.

    Kindest regards,

    Javier V. Maldonado

    Alliance for Responsible Humankind on Earth & Universes!

  • I would have loved this class. The Teacher is inspirational.. heck he can teach probabilities of chaos in dice and one comes out with understanding advantage ,..... in the midst of laborious or tedious outcome statistics... and you can be rearded with candy.... If this is not a first class school lesson .. I dont know what would be.

  • @jehugaleahsa

    I bet you'd love 6.042...

  • @jehugaleahsa comp. sciene isnt about solving real life problems with a computer. Its a science for gods sake. What you are talking about is comp. eng. or other similar but not equal classes

  • @Julien1345 - I am total cool with practicing and learning on your own. However, I was truly challenged by my Programming 1 course. Not only did I learn the super important skill of talking to a computer, it taught me to think imperitively and logically. There is a disconnect between the professor's explanation of the solution and how he "translates" that so a computer can solve it. Showing me code without explaining it is worthless.

  • @jehugaleahsa this is university, this is what you got to expect when going to study on an abstract level.

    In germany you are going to study math for a year if you want to study computer science, so this is pretty ok i think.

    The practice comes at home, you've got to implement algorithms, datastructures etc.

    A lecture does not substitute exercising just like a musician learns by playing his instrument.

  • It is really hard to tell some of these classes have anything to do with computer science. Beside the fact that there is a computer on the desk, the class seems to avoid the topic of translating real-world problems into computer programs. These lectures seem to be concentrating on problem domains and very little on how they relate to computer programming. One 10 minute Python demonstration doesn't merit 40 minutes of storying telling.

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