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YaHa

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Everything posted by YaHa

  1. I advise not using PowerPrep so recklessly. The questions get reused after the 2nd test, and PowerPrep is definitely the most accurate predictor of your scores, so you'd ideally have saved it for use during the last few days before the exam, just so you know what to expect on the real thing.
  2. Why don't you ask the school you got your Masters at to forward you the information?
  3. I think a big part of verbal is luck. Since your score range is determined before the first third of the section is over, if you don't make mistakes in the first 5-10 questions you will have a much higher score even if you do make mistakes in the later parts. For verbal, this means knowing the vocabulary words that come up in those first 5-10 questions.
  4. I took it this afternoon, and I got a 30-minute writing section. I knew that it wasn't going to be counted, and I knew that if I just clicked "exit" I could immediately see my test scores and leave, but for some reason something in the back of my mind kept telling me that I should do it. Result: Spent another 15 minutes writing up some random shit and left.
  5. I agree with the point about Kaplan--The math in there is harder than what is in the actual test. I took all 6 or Kaplan's practice Quantitative sections as well as their three CATs, and I consistently got one of 770, 790, 800. In PowerPrep I almost never went below 800, save a single 790. But that's actually a good thing, because by doing practice tests which are harder than the actual exam, you are able to simulate some of the stress which accompanies an actual test, thus giving you a more realistic preparation for pacing on test day.
  6. For Verbal, Sentence Completion and RC should be easier to prepare for than the analogies&antonyms. The latter two, which are heavy on vocabulary, are the questions which require memorization whereas SC/RC do not. Personally I took a few practice tests before starting my GRE prep and found I was getting between 600-700 on Verbal already; since I will be applying to computer science PhD programs I didn't bother wasting time memorizing tons of vocab and instead used the time to make sure I could get 800 on Quant. I would say if you get close to all of the RC/SC and most of the analogies/antonyms in the first 10 questions right, you should be in a good position.
  7. I found a bunch of errors in the Quantitative reviews. Barrons and Kaplan, as well as Nova's math book all had mistakes. I didn't prepare for Verbal at all so I don't know about those practice tests/reviews but I doubt they are error-free.
  8. Thanks! Ended up with 650V 800Q. I did not prepare for verbal at all besides PowerPrep and skimming Barrons 800 high-frequency list, so I am satisfied.
  9. Ok, just took it. 650V, 800Q. I guess that 700 was a fluke, but I did zero prep for Verbal aside from quickly skimming Barrons 800 words(which did find pretty useful, actually) so I am satisfied. If I have the motivation to study intensely for Verbal sometime in the future I'm pretty sure I can crack 700... Hope it helps.
  10. Just took the two PowerPrep, taking them was the last thing I did before my test which is tomorrow. PowerPrep 1: 620V 800Q PowerPrep 2: 700V 790Q It was actually surprising because in the first test, I got three wrong and got an 800 in Quant, whereas on the second test, I got only two wrong and ended up with a 790. On the first test, the first mistake was after the 10th question, and the two others were near the end, probably why I ended up with 800 there. On the second test, the first mistake was the 9th question, and the other was in the middle. Will edit after taking it tomorrow..
  11. Just took the two PowerPrep, taking them was the last thing I did before my test which is tomorrow. PowerPrep 1: 620V 800Q PowerPrep 2: 700V 790Q It was actually surprising because in the first test, I got three wrong and got an 800 in Quant, whereas on the second test, I got only two wrong and ended up with a 790. On the first test, the first mistake was after the 10th question, and the two others were near the end, probably why I ended up with 800 there. On the second test, the first mistake was the 9th question, and the other was in the middle. I think the reason I made the early error in the 2nd was to rush through (I had like 10 minutes left at the end). I will definitely be spending more time on the first third of the questions because that is where the score is mostly determined.. Will edit after taking it tomorrow..
  12. Hi guys, I'm very glad I came across this great website. I just finished my undergrad and wanted to know how my profile looks. I went to a small liberal arts school and my research interest is mainly in the application of algorithmic processes (AI, machine learning, genetic algorithms, formal grammars and Markov models, etc) to music composition. I double majored in computer science and music and have a minor in mathematics. Due to family finance circumstances, I will be working for an investment bank for one year before applying to graduate school. I will be taking the GRE this summer-the old one, and I will not be taking the CS GRE. Info: Cumulative GPA: 3.71/4.00 Major GPAs: 3.73 for CS, 3.95 for Music My GPA isn't too bad, but I would have had like a 3.9 if I had not been stupid in sophomore year and taken senior-level courses without the necessary prerequisites. My GPA took a big dive soph year and I spent the next two years trying to bring it back up (which is really hard as we all know!!) Research: My school is small, so it was difficult to do research in the exact area until my thesis year (senior year). My thesis is a study of algorithmic music. Freshman Summer: Worked with an MIT Media Lab PhD candidate to produce a multimedia exhibition (a combination of art, computer science and audio) Sophomore Summer: Worked with engineering policy department on urban policy simulation software. Junior/Senior Year: Worked on an extensible sandbox tool to enable generation of algorithmic music both with and without human input. I will be releasing some code as open source software this summer. I will also be building (possibly) a webapp for it. Publication: None so far, but I will be working with a professor in CS this summer and hopefully get something out. I will not be a first author though. Recommendations: I will be getting one from my thesis adviser, another from a professor whose specialty is Machine Learning (I will be working to apply machine learning techniques to algorithmic music composition this summer), and one more from a music faculty probably. Awards: Full scholarship, dean's list, CS awards, blahblah Other Activities, the important ones: -Summer internship at a top investment bank in the Technology division -Lead developer for academic research/collaboration web application -Developer and translator for many other OSS projects and documentation -Tutor/TA for intro CS, music theory, and Japanese I want to know where I stand for top 20-ish schools, and also if anyone knows good programs for computer music I would love to know about them. Thank you for your time!
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