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rokxal

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    CS/MATH

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  1. looks like Washington is down for the count. pity ;(
  2. gonna be hitting that refresh button a lot I'm betting Anyone know if Washington, Columbia, and Princeton released all their acceptance email?
  3. http://encyclopediadramatica.com/ZOMG enjoy;0
  4. Programs have different averages for their admitted students so it helps to know which ones you're applying to.
  5. 700-1000 words. 1-1.5 pg single spaced. Most of the sample SOPs I've read online pretty much iterate over the same things so unless you have some interesting research experiences to talk about, keep it short and to the point.
  6. Well in this hypothetical situation, the relative GPAs are negligible. Research is considered more important and the candidate who had more/quality journal or conference publications and grants wins. Depending on the field, this advantage may be huge. A comp sci major Joe brown with a 3.5 undergrad gpa and 2 publications has an overwhelming advantage over a 3.9 gpa Billy Smith with nada research experience if both applied to Stanfordson . Like the business world, I think the system values a person's most recent accomplishments over their past successes. Lois Lane's 3.75 gpa during her MA would overshadow her undergrad record. Her research experience makes her the "safer" choice in terms of investment because doing well in research is quite different from being taught and successfully regurgitating material from class.
  7. Many programs accept online recommendations only. Its pretty suspect to forge multiple emails under your university's domain with false identities. In any case, there's really little that can be done. Informing the respective universities may leave collateral damage on your name. Informing the dean is unwarranted because of a lack of evidence. However, since your concern is of ethical responsibility or leveling competition, talk to an adviser first to play it safe.
  8. Took the comp sci subject test today. Pretty much the most esoteric piece of schlock I've ever taken even. Skipped 1/6th of the questions.
  9. 1.5 months before the June exam, I started out with a 560v, 790q with Power-prep. Did some practice with Big Book, princeton review, kaplan, and GRE bible. Half of the time was spent roting vocab from a combined list (1.5k semi-familiar to unknown words) from the aforementioned sources, and the other spent taking practice exams. On the June exam, I took a 690v, 790q. Can't say much for the quants but regarding the verbal. The last GRE power-prep gave me a 700v (pretty spot on) Kaplan was unforgiving (650-730 near the end) Princeton review was a bit inflated (700-750ish) Big book (A lot of practice exams, 20+. Did 1/2 of them without the reading comp, the other half completely) fluxed from 690-800 depending on how the reading comp faired. GRE Bible started with 500ish but eventually got consistent 800s (reading comp questions were too easy and the scoring system wasn't refined)
  10. Yea, sounds just like CMU 4000 applicants?! thats even more than Berkeley's EECS's 3k applicants for 70 spots. Pretty steep odds indeed which contributed to my initial reluctance to even apply to those top 4 schools of the field in the first place.
  11. Its difficult to gauge how anyone will do at the top schools these days. I've seen some pretty qualified people (many publications, and often with a masters) get rejected from MIT/CMU/Berkeley. And those that did get in, I don't have enough information on their stats to make a judgment call. Thus I probably assumed that its not just a solid application that gets someone into one of those schools, but an outstanding one (loads of research, patents, very inflated i know) that gets noticed. In any case, I've edited the list to rank the schools reflect my fields of interest (Computer Graphics/Vision primarily). Some new schools were added, some old ones removed; the rank being dependent on the size of the lab/faculty size, lab's total publications, the year the lab was created, and word of mouth. (Very large) University of North Carolina-Chapel Hill (Large) CMU Stanford University of Washington University of Wisconsin Columbia Purdue (Above Average) University of San-Diego University of Texas-Austin Cornell University EDIT: I was somewhat conservative in both lists due how Computer Graphics/Vision wasn't a hugely popularized field (at least from my experience) compared to some other fields such as Machine Intelligence/AI and system related areas. I may be very wrong about this tho.
  12. Hi all, Its been asked many times before so I'll cut to the chase I'm applying for a PHD in computer science. My research interests include computer vision, computer graphics, and theory. I'm also willing to settle for a MS/PHD route if offered. Can anyone comment on the schools (10) that I'm applying to? Random stats: Currently a senior at my UG Research experience: 2 years and on going 1 1st author top tier conference publication 1 3rd author 2nd tier conference publication Possibly 1 more publication before the December deadline UG: Top 20 in the states GPA: 3.58, GRE: 790q, 690v, 4.5, going to take the GRE-CS Decent recommendations (known in the field) EDIT: The updated list is now based on my fields of interest (Computer Graphics/Vision) , ranked by lab size/strength? (Very large) University of North Carolina-Chapel Hill (Large) CMU Stanford University of Washington University of Wisconsin Columbia Purdue (Above Average) University of San-Diego University of Texas-Austin Cornell University
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