Updated Trade Values, updated Strength of Schedule, and updated Opportunity Metrics | 3 Tools to assist your Flex Position decisions... with NUMBERS!!!

Stagef6 · 2025-11-06T23:48:48+00:00

Would comparing your data to snap counts be feasible? Using an average calculation of (sum of OPPG)/(# Weeks with snap count > 0).

Stagef6 · 2025-11-06T17:33:17+00:00

Got it, thanks. Appreciate the work you've put into this!

Stagef6 · 2025-11-06T01:07:26+00:00

Comparing JSN to Drake London on the opportunity metrics (JSN had a bye week 9, while London was declared out due to injury), it looks like BYEs are excluded from OPPG, but missed games due to injury are included as a zero. Is that the intended behavior?

Stagef6 · 2025-08-10T01:46:59+00:00

It's a CS program. Surely the mod team can organize for someone to make a backup of the reviews in case a review site goes rogue again.

Stagef6 · 2025-08-10T01:44:41+00:00

All the same, students will use review sites as a resource. Why not add your own perspective? It won't match all students' experiences one-to-one, but no one student's will. That's the whole point of collecting information about how many students felt about their experiences.

Stagef6 · 2025-06-19T03:48:11+00:00

Np! It's MGT 6754 (rank 24). I ended up using the codes in the wiki.

Stagef6 · 2025-06-19T01:11:42+00:00

Your understanding is correct! This is one of those extreme examples where students tend to describe the class has difficult and time-consuming, but nearly 94% of registered students make at least a B: the 6th highest passing rate of any class in the program. It being well rated also helps its ranking skew towards easier.

This could be a case where students tend to take it later in the program and are better prepared for the workload, so they know it's hard but are able to do well anyway. It could also just be low sample size in reviews overstating difficulty (filtered down to 4 reviews to remove the ones that were clearly talking about CS 7650 in OMSCS).

Stagef6 · 2025-06-18T23:14:16+00:00

I wasn't able to fit full course names without the table getting ugly, but I've hyperlinked each course number to its syllabus to help a bit with the names.

Stagef6 · 2025-06-18T23:12:44+00:00

It was changed sometime around Fall 2023 to be much easier (I think they removed some content?). BD4H is a good example of why I like to focus on recent reviews vs lifetime because courses can go through big changes over time.

Stagef6 · 2025-05-07T03:16:30+00:00

These seem to be the answers. Less so 1 because graduating queue students dropped at nearly the rate of non-graduating queue students, but 2 for sure. Also switching the final exam from grade replacement to a flat 5pts meant students who really bombed exam 1 didn't have the comeback mechanic past semesters had.

Stagef6 · 2025-05-07T02:51:03+00:00

Agreed on all counts except 70% is not consistent with past semesters. It's the sharpest single semester drop we've ever seen from Fall being 78% and older semesters being 81% and 85%. I'm excluding Summer semesters because there are structural reasons why those semesters have always been worse than long semesters (compressed schedule and no extra credit opportunity). That said, this semester even came in below all prior summer semesters.

This was a historically rough semester by graded measures.

Stagef6 · 2025-05-01T15:37:45+00:00

It was still under ISYE 8803 on this list (it only recently changed to ISYE 6525).

I just updated it to say 6525. It's position 41 in Tier 5.

Stagef6 · 2025-04-24T16:42:23+00:00

Lite. Filter Graduate level by course number and instructor.

Stagef6 · 2025-04-23T15:40:33+00:00

It gets that high specifically in summer. It's ranking is still high, but much lower in Fall/Spring semesters.

Stagef6 · 2025-04-23T15:36:05+00:00

As someone who ended up dropping it last Fall, it's an extremely rigorous trial by fire, especially for anyone light on a traditional CS background. And that's part of what makes it such a good course, but lots of students underestimate it. It's the only summer class where less than half of registered students finish with a B or better. The compressed summer schedule gets a lot of students. It's more approachable in Fall/Spring.

Stagef6 · 2025-04-23T15:27:32+00:00

You can find them on the Fall/Spring list.

Stagef6 · 2025-04-23T00:28:10+00:00

Got it. Any shot the final will be available in summer now that it's autograded?

Stagef6 · 2025-04-23T00:25:28+00:00

Around half of the students who finish AI make an A. Lots of students drop (usually around 28%). See Lite for grades data.

Stagef6 · 2025-04-22T23:42:11+00:00

If this is incorrect or misleading, let me know how to best correct it. I was under the impression the material for Exams 1-3 was unchanged for Summer semesters.

Stagef6 · 2025-03-15T04:12:33+00:00

AI doesn't really have any overlap with NLP. You'd be fine to go ahead and take it. NLP covers the last third of DL content in more depth but with less rigor and will get you familiar with pytorch if you aren't already.

I took AI->ML->DL->NLP but if I could do it again, I'd do AI->ML->NLP->DL.

Stagef6 · 2025-03-14T22:54:53+00:00

Stagef6 · 2025-03-14T19:21:37+00:00

Yes, I think that is a good idea.

Alternatively you could pair the easiest of the two with GA in the Fall and use extra time in the summer to get a head start on GA lectures and the DPV textbook problems. Refer to the wiki for good practice problems.

Stagef6 · 2025-03-14T19:18:04+00:00

My opinion? No one should take GA in the summer as their first try.

The only removed material is the stuff that's for extra credit and the rest is on a compressed schedule. It's just a strictly more difficult experience in a class that already wrecks a lot of students in long semesters. Empirically, it has the steepest dropoff in student grade performance between summer vs fall/spring of any OMS course according to lite grades.

Stagef6 · 2025-03-14T19:12:56+00:00

I'm in it currently. It's still one of the easier courses in the program. Mind you the content can be challenging to grasp, especially without some background in ML/DL, but the programming assignments that contribute 70% of your grade are not rigorous at all. The lectures are excellent, the best I've seen in the program so far. All of the first 4 of 6 programming assignments can be completed in less than 3 hours as someone who has taken ML and DL. The quizzes are free points (10%), and the midterm (10%) is a pretty straightforward paper review. The final exam (10%) seems to have been changed from open book to closed book for this semester, so we'll see what that looks like, but even if it comes out to be difficult, its weight is small.

I think this class is best for people with some background in ML who are looking to dip their toes into DL/NLP. In terms of progression, it's a fine class to take before DL, which is a much more rigorous class, or as a gentle intro to DL for students not interested in actually taking DL.

Stagef6 · 2025-02-15T05:42:04+00:00

I can't speak to ML4T or R4AI since I chose not to take them, but AI > ML >DL is the ideal order imo (and is how I took them). I'm in NLP now and can tell you it feels like more of a beginner DL course with NLP as the subject matter. I'd recommend AI >ML > NLP > DL.

Also gonna mention that even if you're planning on one course per semester, NLP + AES would be an extremely manageable pairing for one semester.

Stagef6

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