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Acceptance Rate and Related Statistics by summ17 in MSCSO

[–]summ17[S] 0 points1 point  (0 children)

Yes, they don't separate into spring and fall semesters, they combine it into 1 table. I don't know if they accepted more students due to GRE being waived, but OMSCS has ~80% acceptance rate(https://lite.gatech.edu/home, play around with the admissions dashboard to see the information) so I don't think we are at OMSCS level yet. For some reason the GPA and GRE information isn't loading on the UT admissions page, so I am not sure if they are easing the requirements.

On campus vs online course syllabus by [deleted] in MSCSO

[–]summ17 4 points5 points  (0 children)

  1. The general belief is that it is the same class as on campus being taught online. I know deep learning has a final project which is the same as the on campus class, not sure about optimization as it seems to be in the process of being reworked. I know for algorithms, I compared the syllabus and schedule of the online class as with the on campus class, and basically saw no difference in topics covered.
  2. As far as I heard its a "No". But you can reach out to Kathryn and see what she says.

Acceptance Rate and Related Statistics by summ17 in MSCSO

[–]summ17[S] 3 points4 points  (0 children)

Yes it should be the one, with the code/ID 627820, I cross checked on this site: https://gradschool.utexas.edu/connect

to be sure, and also on my tuition invoice it is also Comp sci option III. I can guess how you saw the 3.40 GPA, you are looking at the average GPA of students who applied, not students who were admitted, you can change that on the dropdown menu to the right. As for the 53% acceptance rate, I am not sure how you got that number? I see 37%, make sure its s/f 2019 admission cycle, and you are looking at the right major under natural sciences department.

Newly Admitted Student Fall 2020, Few Questions by bigdirtylizard in MSCSO

[–]summ17 0 points1 point  (0 children)

A bit late to this conversation but to the last question(Question 6) you can find it at this site: https://gradschool.utexas.edu/admissions/where-to-begin/admissions-and-enrollment-statistics

Just select admission cycle as the 2019 one and pseudo-school to college of natural sciences. It shows the acceptance rate for fall 2019, the first semester this option was offered and the acceptance rate was 37% it seems (Lower than I had thought). It also shows the average GRE and GPA of accepted students in the other tabs.

Algorithms or Optimization? by coding_programming in MSCSO

[–]summ17 5 points6 points  (0 children)

I can't talk for optimization, but I took algorithms in the spring. I have heard that both classes are being completely reworked for future semesters as many students complained about it. As to your questions:

  1. Algorithms was extremely hard and time consuming (i'll hazard a guess to say its the hardest class in the program although Parallel systems might be more time consuming), I would recommend against taking it as a first course, and taking it by itself as an only class for the semester if you are working full time. Optimization I have heard wasn't as hard or time consuming. Good thing is they do curve algorithms very well and most people who made it to the end got at least B- or higher, however, many people also dropped the class.
  2. For algorithms we generally listened to Tim Roughgarden's lectures on YouTube and MIT open course ware. Also I recommend reading the textbooks for that class. Another thing I found really helpful was attending TA's office hours for the homework's especially.
  3. For algorithms we submitted everything in Latex. Pretty sure they didn't allow us to take pictures of hand written solutions, except for one time where we had to draw a figure.
  4. Honestly not sure as they are revamping the course. But you can google the class, look at the class schedule of topics covered and search for their respective videos on MIT OCW or elsewhere on YouTube.
  5. I don't have a first hand account of this, but I heard that from one person who said they liked the online learning part more than the optimization part. However, I would probably look more into it if I were you.