A single overall ranking is therefore meaningless - look instead for the measure that matches your priorities. For instance, for research impact in computer science, see: https://csrankings.org/
A single overall ranking is therefore meaningless - look instead for the measure that matches your priorities. For instance, for research impact in computer science, see: https://csrankings.org/
Yeah this is worthless. "Elite" colleges in the US value student evaluations of teaching VERY VERY highly in things like tenure review. Well, guess what kind of grades professors give almost every single student at those colleges... It's a race to the bottom. Students aren't experts in teaching; they're rarely even experts in learning coming out of modern secondary education.
However if you select only AI, Carnegie Mellon drops to 3rd and only two of the top ten are outside Asia (mostly China but also National University of Singapore and KAIST in South Korea).
That being said... CMU always had a decent program (as did UIUC.) They came down in my estimation when they started granting trade school degrees. In the old days, you had to take a class on parsing and foundations of computing to graduate. You could talk to a grad who knew what a recursive descent parser was and what it's drawbacks were. And there's a chance they could understand the basics of Turing's paper(s).
There's a maxim I read somewhere that undergrad was supposed to change the way you thought more than teaching you facts (and maybe skills.) What I liked about the old system is you were taught a concept (functional decomposition, for instance) and then concrete examples were given to support the concepts. Now it seems like students are taught where to download python packages and enough unix commands to type in example code from online forums.
CS pedagogy in the states is a joke, but I guess if I want someone to write a PHP plugin for wordpress, I know where to go.
#OldManYellsAtClouds
Even within the same field should a paper that speeds up LLM's by 10x be equal to one that improves object detection accuracy in a specific dataset by 2%, or a dataset paper? All could be published at NeurIPS and all are good papers, but that does not make them equal in impact.
A better example might be that a hypothetical paper curing some cancer through some magic technology, or a differnt one detecting cancer better using AI could both target a similar venue (as evidenced by various nature puplications), but are vastly different in impact.
https://www.usnews.com/best-graduate-schools/top-science-sch...
Though I strongly disagree with their choice of conferences, probably the best regarded ranking of computer science schools is CSRankings.org (https://csrankings.org/)