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Things a computer scientist rarely talks about

  • 23-08-1999 4:39pm
    #1
    Registered Users, Registered Users 2 Posts: 21,264 ✭✭✭✭


    Forwarded onto me. If anyone's near Cambridge around that time. smile.gif

    From TBTF (http://tbtf.com/archive/1999-08-23.html)

    Things a computer scientist rarely talks about

    Donald Knuth, grand old man of computer science and possessor of one
    of the great academic titles -- Professor Emeritus of The Art of
    Computer Programming -- will deliver what sounds to be a fascinating
    series of lectures this fall. Knuth has titled his talks for the God
    and Computers lecture series [15] "Things a Computer Scientist Rarely
    Talks About" [16]. The lectures are on Wednesday afternoons beginning
    on 1999-10-06:

    October 6: Introduction
    October 13: Randomization and Religion
    October 27: Language Translation
    November 3: Aesthetics
    December 1: Glimpses of God
    December 8: God and Computer Science

    The lectures will be held at MIT building 34-101, 50 Vassar Street,
    Cambridge, MA on Wednesdays beginning at 4:15 pm with refreshments.
    They are free and open to the public.

    [15] http://web.mit.edu/bpadams/www/gac/
    [16] http://web.mit.edu/bpadams/www/gac/lecture_seriesiii.html



Comments

  • Registered Users, Registered Users 2 Posts: 693 ✭✭✭Gyck


    Sounds interesting. But scary.


  • Registered Users, Registered Users 2 Posts: 2,518 ✭✭✭Hecate


    anyone ever seen the DCU prospectus for the compapps course?

    it reads somthing similar, *ahem*:
    Intelligent Pattern Matching

    Intelligent pattern matching fuses traditional statistical methods with modern artificial intelligence techniques to enable systems to extract patterns and knowledge from complex data. As a course, IPM is application orientated, describing how various pattern-matching paradigms from the statistical distillation paradigm of Bayesian reasoning, to the exemplar-based paradigms of neural networks and memory-based reasoning can be applied to real world problems.

    I'm sure its very easy to understand once you get into it smile.gif


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