levison@levison.applicon.UUCP (10/11/88)
I am interested in going back to school to get a Masters (and possibly a PhD) in Computer Science. Specifically I am interested in the Natural Language branch of AI. I have begun to research different schools, but I know from my undergraduate experience that the best information comes from people in the program at the school. So if anyone out there has any advice, I would be most appreciative. Some of the schools I am looking at are : MIT Stanford Berkeley Yale Harvard CMU U Penn This is only a partial list ... any other suggestions are welcome. Questions are : How do you know about the program ? Would you (did you) go there ? Why or why not ? What do you think of their Masters program ? The PhD program ? I have a BA in Mathematics and Romance Languages (double major). I have worked for two years + in CAD/CAM and have been attending night school to try and fill in some of the gaps in my computer knowledge. Is the fact that I don't have a BS in CS going to be a problem anywhere ? What other questions should I be asking ? (seriously !) Please email your responses to me. If anyone else is interested, let me know ; I'll compile a list and send it on. Thanx in advance. Libby Levison. {allegra|decvax|harvard|yale|mirror}!ima!applicon!levison, {mit-eddie|raybed2|spar|ulowell|sun}!applicon!levison, levison@applicon.com
rapaport@sunybcs.uucp (William J. Rapaport) (11/01/88)
In article <30300005@levison> levison@levison.applicon.UUCP writes: > > I am interested in going back to school to get a Masters (and > possibly a PhD) in Computer Science. Specifically I am interested in > the Natural Language branch of AI. See: Directory of Graduate Programs in Computational Linguistics, 2nd ed., compiled by Martha Evens, in Computational Linguistics 12 (1986). William J. Rapaport Associate Professor Dept. of Computer Science||internet: rapaport@cs.buffalo.edu SUNY Buffalo ||bitnet: rapaport@sunybcs.bitnet Buffalo, NY 14260 ||uucp: {decvax,watmath,rutgers}!sunybcs!rapaport (716) 636-3193, 3180 ||fax: (716) 636-3464