Path: utzoo!attcan!uunet!midway!ncar!gatech!uflorida!ziggy!screamer!waterfall!hall From: hall@waterfall.ec.usf.EDU (Larry Hall ) Newsgroups: comp.ai Subject: Re: Less-than-famous AI Departments Message-ID: <1990Oct25.092225@waterfall.ec.usf.EDU> Date: 25 Oct 90 13:22:25 GMT References: <15400@venera.isi.edu> Sender: news@screamer.csee.usf.edu Reply-To: hall@waterfall.ec.usf.EDU (Larry Hall ) Organization: University of South Florida, Department of Computer Science and Engineering Lines: 41 In article , theo@cs.fau.edu (Theo Heavey) writes: |> lpress@isi.edu (Laurence I. Press) writes: |> |> > The other day, a student who was not feeling too hot about his |> > GRE exam, asked me to recommend some grad schools with good, |> > but not famous AI departments for him to apply to. I suggested |> > that he look for interesting papers written by people at schools |> > other than Stanford, MIT, etc. What strategy would you recommend? |> > Do any schools come to mind? |> > |> > Thanks, |> > Larry |> |> Many schools have the 3.0 (or higher) in the last 60 credits |> OR a 1000 in the GRE. AS OF LAST YEAR, both University of Central |> Florida and University of South Florida had this requirement. |> Both are up and coming engineering schools with an interesting |> approach to cognitive a.i. along with other interesting ai bents. |> |> theo Just to clear up the picture... At the University of South Florida in Tampa, we have a requirement of a minimum 3.0 GRE AND 1100 on the GRE's. The GRE score is gotten by taking the verbal and quantitative scores and adding them. Any exceptions will be rare. In order to receive a Teaching or Research Assitantship the scores need to be higher. The AI work is primarily within the Department of Computer Science and Engineering. We have a group that works with machine learning, hybrid connectionist symbolic models, a group doing parallel processing for AI, some expert systems work, and a Computer Vision group, which is looking at such things as functional knowledge representation for vision problems, the use of neural networks in vision, and medical imaging. Our AI effort is growing and we encourage graduate applicants. --Larry Hall Department of Computer Science and Engineering University of South Florida Tampa, Fl. 33620 hall@waterfall.csee.usf.edu