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  2. If you have the math background, then you don't really need to take additional classes at a local university. This is only advised to do if you have no or a weak math background or if you need to take care of some prerequisites (e.g. real analysis) before applying. And you certainly have the requisite background if you've taken a bunch of proof-based math classes. A lot of statistics PhD applicants have backgrounds in pure math and are fine taking the Casella & Berger sequence with no prior background in the subject. That said, if you have been out of school for some time, it would definitely be helpful to review some Calculus, linear algebra (including proofs), and basic real analysis before entering your PhD program. But since you are applying this upcoming fall, you have plenty of time. See these two threads for a suggestion of things to review (the below applies to both incoming statistics and biostatistics grad students): https://forum.thegradcafe.com/topic/117420-general-reviewpreparation-prior-to-ms-biostats-program/ https://forum.thegradcafe.com/topic/117365-best-probability-textbook-for-self-study/
  3. caffeine_18

    University of Michigan School of Information

    Trust me waiting for an admission result is equally bad.
  4. IceCream & MatSci

    Keep A Word Drop A Word

    Candy crush
  5. hector549

    Typical Week of Philosophy

    There are a lot of studies that show that productivity drops significantly above 50 hours a week or so. Here is one. My advice is this: take your work seriously and work hard, but recognize that trying to work all the time will result in diminishing returns. Sounds obvious maybe, but don't sacrifice your physical or mental health. It's not worth it, and it's not going to magically make you a super-philosopher anyway. Exercise regularly, sleep 7 or 8 hours a night, cook healthy meals, go out for drinks with friends every now and then, bullshit with your classmates from time to time, go for a walk, whatever. You'll feel better, and you'll do better work.
  6. health3

    University of Toronto iSchool Fall 2019

    Speaking from experience, it's likely that a student will respond to your query if you use the above email. I'd recommend you contact Andrea directly: andrea.dibiase@utoronto.ca. Good luck!
  7. IceCream & MatSci

    Materials Science and Engineering Applicant Profiles for 2019 Admission

    I would wait for two weeks or so, but once early April approaches, you may want to give up on Rice. Also, you may want to wait longer if Rice is one of your top programs. However, if you prefer the other places you were accepted at, then don't wait as long. Maybe Rice bases their second round of offers on how many people accept the first round? This could prevent them from sending out too many acceptances.
  8. crackademik

    Is this okay to wear for Admitted Students Day?

    To be fair, since you're already accepted, you can wear anything you want and it isn't going to change anything. I think what you were planning on wearing is fine though Usually the only time it's necessary to wear business casual is if 1. they explicitly tell you to or 2. you're interviewing prior to acceptance. At accepted students weekend, I've seen everything from someone wearing ratty sweatpants to a prom tux (yes with vest and all it was ridiculous). Congrats on your acceptance!!
  9. TeamNoSleep

    Commuting to grad school?

    Yeah so Grad school A is accelerated and that is most of the reason why I am not fully on board with choosing that program! I'm nervous to be taking 5-6 classes in addition to clinical placements. But you're currently in a grad program that seems to be almost just as intense...so you think I can do it? And yeah I would finish in 4 semesters (so my first 3 semesters are courses and clinical placements, and my last and final semester is a full-time internship) versus program B, which would take 5 semesters to complete (they only require 51 credits in order to graduate and grad program A requires 60 credits). If the program was not so intense, I would choose this program without a doubt. I just don't want to lose my mind and I want to make sure that I will be a fully competent SLP when I'm done. Thanks btw!
  10. IceCream & MatSci

    Duke vs NCSU for MS in ECE/Comp. Engg

    WOLFPACK! I am went to NCSU for my undergrad, so I am very biased. Like the people said above, ranking is not super important, especially since both schools are good. I will say that NCSU has a higher rep in engineering compared to Duke in my opinion. Nonetheless, I think what's important to think about is what place that will make you the happiest. Durham and Raleigh both have different feelings. Cost is also very important, especially since there is such a huge difference between the two. Would it be worth it to pay the large amount at Duke?
  11. sun.flower

    Fall 2019 Masters of Health Informatics

    Are you interviewing for the eMHI stream or regular? Good luck!!
  12. IceCream & MatSci

    Is this okay to wear for Admitted Students Day?

    I think that's fine. Have fun at the visit!
  13. Chhaviar

    University of Toronto iSchool Fall 2019

    Oh! Thanks a lot for the info. I had emailed on admissions.sgs@utoronto.ca yesterday. Hoping to see some response.
  14. Today
  15. crackademik

    "low" GPA acceptances

    I had a 2.58 undergrad GPA due to a number of issues and I've gotten accepted to 3 places with full funding. I have two years of work experience in my field and I got a 4.0 in my meh masters program. It can be done if you really want it. Edit: I know I'm not in SLP but I hope this still gives people hope!
  16. Hi, everyone! During the first week of April, I'll be visiting the program that I'll be attending in the fall for their Admitted Students Day. It's for a Masters program in history, and I'll be meeting some of the faculty. I had planned on wearing nicer jeans, a cuter top, a cardigan, and flats. Is this appropriate to wear, or should I wear more business casual clothes? FWIW, the visit is from 10 am - 1 pm.
  17. slptobe!

    "low" GPA acceptances

    No absolutely, it's not as easy as you would think to be able to find out these answers! For me, because I was a paranoid mess so I probably did overkill, but I went on ASHA Ed find and the schools website also usually says the average stats for the admitted students the past years so you can kind of gage where you're at, if it doesn't then don't hesitate to contact them and ask. I also looked at the results page on here to find stats on who was accepted, waitlisted, and denied (the little red diamonds that you can hover over). I tried to look for programs that had a lower pool of applicants or waitlisted a lot of people because I had a feeling that would be my best bet. Obviously it's not limited to your stats, take the time to curate each personal statement to the school by mentioning the professors you'd like to work with and the specific aspects of the program that make you a good fit. I hope this helps! One of the reasons I love this profession so much is because I have loved how everyone tries to help each other, it's competitive, but I like to think you have many hidden cheerleaders.
  18. I know what you mean, it’s so hard getting a real sense of what each program will be like. I just wouldn’t want you to worry too much about offending your current program. I’m sure they want what’s best for you in the end, whichever one it is. Good luck with your decision!
  19. Psygeek

    Commuting (~95mins, highway) Philosophy PhD Program

    I don't think socializing with your peers should be the reason to 'not-commute'. Rather commuting in itself is pretty taxing (tiring, annoying, wasted time....). At least it was for me when I did it for a year in grad school. I could def use the extra hour of sleep, and I wasn't the best to my SO after a long day at 'work' and another 1.5 hrs in transport. Would it be an option to go home on the weekends?
  20. urbanfarmer

    2019 Decisions Thread

    As everyone is getting settled into a decision, exciting but also anxiety-inducing among all the talk of a collapsing job market, I thought I'd share this really lovely piece that celebrates some of the great things about grad school: http://avidly.lareviewofbooks.org/2012/11/13/love-in-the-ruins-or-should-i-go-to-grad-school/
  21. AfutureSLP2019

    SLP Declining Offers Thread 2019

    Anyone planning on declining University of Florida? I'm on the wait list currently but really want to receive an acceptance!!!
  22. AfutureSLP2019

    University of Central Florida???

    I've heard that Fall 2019 applicants aren't supposed to hear back until mid-June... Considering that UCF was one of my top choices I'm pretty upset about this. Not sure if I will attend if I am accepted, just based on how late they plan to notify us.
  23. 1) If you go on faculty directories, sometimes it'll sort by interest. For instance, Bayesian statistics, causal inference, high dimensional data, met-analysis. Looking them up on Wikipedia might give you a base idea of the types of areas. You could also start reading statistics blogs like Andrew Gelman's or magazines like Chance. Reading papers is probably not the way to go if you don't have a stats background. 2) No. Have you taken any stats class though, even just a basic intro? That plus the probability you clearly have is all you need. 3) One B- in a non math class isn't going to hurt you very much beyond the general GPA ding. Don't worry about it and don't bring attention to it, but maybe emphasize if there are other places where you programmed in job or research. You haven't listed your undergrad institution or your overall GPA, but I'm assuming they're both very good. You seem like you're a great candidate for even top programs though.
  24. Co-advised by DT and JG
  25. rheya19

    Keep A Word Drop A Word

    man crush
  26. winwin

    University of Michigan School of Information

    ya, they are both HCI track.. cant agree more😂
  27. It looks like you've been around the forum for a bit, so I'm not sure how much other information I can give (especially given that I'm just another applicant), but if you'd like some allaying of your concerns, maybe I can still be useful: 1. Most people don't really know their research interests that well at this point in their careers. I had a few application areas, and maybe one vague theoretical area, that I expressed interest in via my personal statement, but you could probably get by with less (based on my experience at visit days), and as long as you aren't amazingly narrow, having more developed interests shouldn't really be an issue either. I'll echo some responses to your previous posts and say the best ways to learn (aside from asking about specific schools on the forums, which sometimes works) are to look up some top professors at schools you're interested in and look at their papers. You don't have to read the whole thing, but at least go through some abstracts. Listed faculty research interests work too, although the quality of such postings varies pretty widely between departments in my experience. 2. It wouldn't hurt to work through Casella and Berger, but if you have strong grades in real analysis, measure theory, and other proofs-based math classes, then I doubt it would make you look that much better. I'd assume going through Casella and Berger would be more helpful in preparing for the grad program itself, rather than the application process. 3. I don't recall such online courses really meaning all that much to admissions committees due to vagaries in their grading, so I doubt it would be an issue. Frankly, plenty of people (myself included) are mostly at a loss with regards to computer science topics like algorithm design, software development, and whatnot, and generally it's not any sort of drag on our applications. It's a little hard to know how well you'll do without GRE scores (or at least SAT/ACT proxy measures of standardized test ability) and grades in your analysis/measure theory/probability sorts of classes, but if I had to guess you will probably have a quite strong profile -- maybe not tip-top level, but certainly stronger than mine, particularly if your math publications are in analysis or some area relevant to statistics. I wouldn't stress it too much.
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