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- From: marie@paris.erg.sri.com (Marie desJardins)
- Newsgroups: comp.ai
- Subject: Re: TOP? Graduate Programs in AI
- Message-ID: <1992Nov9.193450.12000@erg.sri.com>
- Date: 9 Nov 92 19:34:50 GMT
- References: <LOU.92Nov5135135@atanasoff.rutgers.edu> <hoyle.721003969@sfu.ca> <92Nov7.150556est.47887@neat.cs.toronto.edu> <1992Nov7.235144.12677@CSD-NewsHost.Stanford.EDU>
- Sender: news@erg.sri.com
- Reply-To: marie@paris.erg.sri.com (Marie desJardins)
- Organization: SRI International, Menlo Park, CA
- Lines: 41
-
-
- In article <1992Nov7.235144.12677@CSD-NewsHost.Stanford.EDU>,
- ginsberg@t.Stanford.EDU (Matthew L. Ginsberg) writes:
- |> CMU 100
- |> Toronto 85
- |> U Oregon 75
- |> UCLA 75
- |> MIT 75
- |> U Washington 65
- |> Stanford 60
- |>
- |> After that is a fairly large group (U Maryland, Penn, Pitt, Rochester,
- |> Yale come to mind) that is probably around 45. Then another large group
- |> (U Texas Austin, Irvine, Waterloo and surely others) that is in the high
- |> 30's.
-
- I'd rank Rutgers and Berkeley at least as high as UCLA (although
- I'd probably rank Stanford higher than Matt has put it, and Toronto
- lower, and...)
-
- The real problem is that different schools are good in different
- areas of AI. A school that has a great machine learning group is
- not necessarily going to be doing interesting research in
- computational linguistics or knowledge representation or
- intelligent tutoring systems. And then there's the fact that
- even at a top-notch university, you're only talking about a few
- faculty members in your area of interest, and if you don't happen
- to hit it off with them you're not going to be very happy.
-
- I'm not trying to be a pessimist, just to point out that all of these
- lists (including Matt's, as he himself pointed out) should be taken
- with a big grain of salt. They can be useful tools for starting the
- process of investigating grad schools, but you need to follow up:
- write to faculty members at the schools you're interested in, look
- in recent conference proceedings and journals, and talk to other graduate
- students. You're going to be spending 4 or 5 or 6 or 7 or 8 or ...
- a lot of years in grad school; it's worth putting a fair amount of
- effort into finding out which place is best for you.
-
- Marie desJardins
- marie@erg.sri.com
-