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kidbayes

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  1. This is similar to how I feel about these courses. My record has been fairly good thus far, and I feel that I have more to lose at this point (10 weeks until graduation) by taking analysis II and getting a B than taking some other math course (e.g., Graduate PDEs) and getting a B or not taking a second course at all. I actually am at a place like UChicago and my research thus far has been very highly theoretical, but at this point I think I'm more interested in a PhD for better employment opportunities in a field like biostatistics (although the research I'm most interested in is in machine learning theory)
  2. After taking Analysis I at my university, I am currently considering whether or not to take Analysis II. Since we are on the quarter system (each course lasts 10 weeks), Analysis I only covers metric spaces, topology, and continuity, while Analysis II and III cover differentiation and integration, respectively. The reasons I am considering not taking it are because the professors teaching it this quarter are not the best, and according to their course reviews, their courses are harder than usual, and I have also heard it is also very important to get an A/A- in real analysis when applying to PhD programs in statistics. However, I only have one quarter left until graduating in June. I was able to an A- in Analysis I, and I have also taken a very watered-down semester-long (16-week) course in analysis, although at a small university that most programs I would apply to would have never heard of. In my honest opinion, if I were to start a PhD program in statistics today, I believe I would need to take some real analysis course(s) in order to be fully prepared (my research interest is machine learning, which I believe relies heavily on it). My question is for admissions to PhD programs in statistics, how much would it hurt my application to only take Analysis I and not II or III? I would like to be competitive for top programs, if possible. Any insight or advice would be appreciated - thanks
  3. I'm currently a graduate student at UChicago. I don't think safety is enough of an issue to prevent one from going here. Feel free to pm with any questions
  4. I'm currently a graduate student at UChicago (I live in Hyde Park), and I don't really feel that safety here is an issue. If you avoid bad neighborhoods, walking around at night, and taking the public transportation frequently, then I don't think there is much reason to worry. The level of safety in Chicago varies greatly depending which neighborhood you are in, and Hyde Park for example, where the University is located, is relatively safe with many professors living here. The south loop is also fairly safe also, and you can stay in these neighborhoods exclusively and basically experience all the university has to offer. There was an international student who was killed last year in a mugging; I don't want to make light of that situation, or assign any blame to the victim at all, but I think I read that he refused to hand over his laptop (which he had out). As far as your specific research interests, I can't really comment on which school is a better fit, however, I think if you are geared towards theoretical research in academia, UChicago might be a better fit. The stats courses are very rigorous and heavily focused on theory and so are the courses in other departments, but they still provide relevant practical experience. The general feel of the university is that, as a whole, it is aimed towards students who truly enjoy the subject and are pursuing academia (compare to state schools for example, which as a whole seem more aimed at sending students into positions in industry). I think this might be important, since you can take courses in other departments outside of statistics and they will still be generally good quality. Also, in the US, UChicago is in general much more prestigious that CMU, with UChicago being on the same tier as ivy-league schools while CMU is not. Further, I have a strong suspicion that our placements for stats graduates interested in academia is probably better than CMU on average, but I'm not completely sure. On the other hand, CMU seems to be much better at computer science, so if you're interested in something related to that then that is something to consider. Although, despite the relatively low ranking, I still think the CS department here is pretty good, plus you can take courses/do research at TTIC.
  5. My question is how much would it hurt my application to get a B+ or B in real analysis, for someone who is considering applying to graduate school for statistics, with an interest in machine learning, optimization, and neural networks (I think it is very relevant to my interests)? I am currently a master's student, and have only gotten two B's thus far, and A/A- in the rest of my classes. There are currently 2 weeks left in the quarter, and the professor said if I did well on the final, I could get an A-. I am at a school in the US known for heavy grade deflation (UChicago), but I'm not sure how much that matters. My questions are, at this point, if I have the choice between a pass/fail and a B+/B, would it make sense to take it for pass/fail instead of getting a B+? The professor said I could decide after the final was over (but before it was graded). I am also wondering how important it is to get an A-/A in real analysis for applying to PhD programs in statistics. Any insight would be appreciated - thanks
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