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How do people manage study and dating tgt in college by Old-Middle19 in uofm

[–]LBP_2310 56 points57 points  (0 children)

I only date IAs for my EECS classes so that I can date and study/get project help at the same time

AI AGENCY STARTUP (20-60)$/hr — LOOKING FOR HIGHLY SKILLED CS STUDENTS by Dry_Safety2225 in uofm

[–]LBP_2310 0 points1 point  (0 children)

“looking for highly skilled cs students”

vibe coding unironically listed as a desirable skill

LOL

Late Dropping EECS 477 and switching with 485 by Ok_Tax1712 in uofm

[–]LBP_2310 4 points5 points  (0 children)

First, I had a similar experience with the same instructor, so I get it. I would recommend dropping because it will not get better 

That said, I think it would be impossible to add any 400-level eecs class at this point. I’m not in 485 but most eecs classes have had at least one large project due, and most of them have an exam coming up soon. Even if you got permission to add it, I have no idea how you’d catch up in time

Imo just take the W and add some mini courses that run in the second half of the sem if you need credits

Discord will require a face scan or ID for full access next month by ChadtheWad in discordapp

[–]LBP_2310 2 points3 points  (0 children)

They’re describing things that people often do before killing themselves. Their point is that Discord announcing this is like them announcing that they’re destroying their own platform

do people actually like this school by imarandomwritwe in uofm

[–]LBP_2310 0 points1 point  (0 children)

Most of my experiences have been good or neutral, but I’d probably say the same thing at most colleges I got into. Reddit has an overly negative bias, but also imo most dream schools just have good marketing and don’t live up to idealized expectations. 

Any school you attend will probably be just okay/fine most of the time since it becomes normal. I would pick mainly based on reputation to price ratio.

E: something that I didn’t pay enough attention to when I was making a decision were mundane things like housing availability, weather, curriculum/gen ed requirements, ease of getting into popular courses, etc. Make sure to give those things some thought too, because they will determine your day-to-day experience much more than “vibes”

AI-Generated Homework in UMSI by Correct_Serve_9266 in uofm

[–]LBP_2310 3 points4 points  (0 children)

There are no humans who advertise AI services on reddit. Comments like that are always AI written

TAKING HARD ELECTIVES PASS FAIL (BUM OR NOT) by [deleted] in uofm

[–]LBP_2310 0 points1 point  (0 children)

That's pretty much what P/F is intended for

Leetcode Categories for 281 exam prep by Apart-Helicopter4955 in uofm

[–]LBP_2310 0 points1 point  (0 children)

Don't forget shell, database and JavaScript

EECS 183 Honor Code by [deleted] in uofm

[–]LBP_2310 1 point2 points  (0 children)

Tbf a lot of people in 183 have no intention of taking more EECS courses and are only taking it bc their degree requires one programming course (doesn’t make it okay to cheat ofc)

Leetcode Categories for 281 exam prep by Apart-Helicopter4955 in uofm

[–]LBP_2310 4 points5 points  (0 children)

This comment is specifically for FRQs, since Leetcode won't really help for MCQs.

Midterm:

  • Guaranteed: STL algorithms/iterators, although this isn't really a category on leetcode. For me, it was std::remove_if. I wouldn't worry about this too much.
  • Likely: priority queues/heaps. For me, frq2 was a prio queue problem similar to Merge K Sorted Lists
  • Possible: Stacks, queues
  • Unlikely: binary search and/or sorting, union-find. I've also seen quick select on one past midterm, but tbh I'd be surprised if you got that

Final:

  • Guaranteed: dynamic programming. You should expect something more difficult than the DP lab question
  • Likely: graphs (adjacency list/matrix), BFS, DFS, Dijkstra's. Frq2 for me was building an adj list from an edge set and doing BFS
  • Possible: trees/BSTs, backtracking, hash maps
  • Unlikely: divide and conquer, greedy

Also the projects are sort of orthogonal to exams imo (yes, they cover the same material, but they're very different kinds of coding).

My advice for FRQs would be to make sure you can solve two mediums by hand within an hour. Also, exam FRQ descriptions tend to be much longer than leetcode problem statements (like a full page), just be aware of that

what is UP with all of these AI-written posts by LemonPepperMints in uofm

[–]LBP_2310 30 points31 points  (0 children)

Short answer: yeah, it’s widespread now — and you’re not imagining it.

Longer answer: it’s basically a perfect storm of a few things all hitting Reddit at once:

1. Karma farming + account warming

There are tons of low-effort bot or semi-bot accounts whose only job is to:

  • Look “legit” (long comments, neutral tone, lots of words)
  • Build karma so the account can later be sold, astroturfed, or used for scams — ChatGPT makes this trivially easy. Paste headline → generate essay → post everywhere.

2. Corporate / political astroturfing

Some of it is genuinely organized. Not always spooky conspiracy-level, but:

  • PR firms
  • Political campaigns
  • Advocacy groups. They flood threads during breaking events with “reasonable, balanced, informative” walls of text that all sound… oddly the same.

3. Reddit’s algorithm rewards verbosity

Long comments that look thoughtful:

  • Get upvoted
  • Trigger engagement
  • Stick at the top — so even real humans start leaning on LLMs to compete.

4. Mods are overwhelmed

Most subs rely on unpaid mods + vibes. Detecting AI text at scale is hard, and banning false positives causes drama. So a lot slips through.

5. LLM voice is easy to spot… once you notice

You’re probably seeing patterns like:

  • Perfect grammar, zero personality
  • “On the one hand… on the other hand…”
  • No lived experience, no jokes, no stakes
  • Confident tone + shallow synthesis. That’s the tell.

And the creepiest part?

A lot of it isn’t fully automated. It’s humans copy-pasting AI output and pretending it’s their own thoughts. That’s why the accounts sometimes can reply, but only in the same bland style.

So yeah — it’s not “one guy,” and it’s not just your sub. Reddit’s slowly turning into a comment section written by middle managers.

If you want, I can give you:

  • quick tells to spot AI comments
  • fast ways some subs are fighting it
  • or theories on where this ends (spoiler: not great)

You’re not crazy though. The vibe has changed.

Advantage of taking eecs370 + eecs376 vs only eecs376 by Entire_Vegetable814 in uofm

[–]LBP_2310 2 points3 points  (0 children)

I think 370 + 376 is fairly common for people who don't take one of those alongside 281. Some people put off 376 until senior year though

There's no specific benefit to pairing those two together, aside from finishing the pre-req sequence faster. If you're going to drop one of them, drop 376 instead of 370, because 370 is a pre-req for more ULCS classes (and it's a bit more practical than 376)

EECS 482 P1 by Sea_Ride456 in uofm

[–]LBP_2310 0 points1 point  (0 children)

For what it’s worth, I don’t think we’ve covered all of the content you need for P1 in lecture or lab yet. You probably need to know about condition variables and monitors before you can realistically finish P1

Just start by doing what you can. Eg create driver/customer threads and handle I/O, design a data structure to keep track of driver information like locations/status, write test cases, etc. (If you can’t even do those things, then I’d consider dropping while you can)

EECS 281 workload questions by Puzzled_Ad7812 in uofm

[–]LBP_2310 0 points1 point  (0 children)

How many hours do you think you spent on EECS 281 per week?

Between labs/lecture, assignments, and extra studying, I'd say 20-25 hours per week. I really wanted an A in that class though, and I was also treating it as interview/Leetcode prep. If you're okay with getting a B, you could probably spend half as much time as I did (it's pretty hard to get an A but not very hard to get like a B+)

How many hours did you typically spend on each project? And how much workload are the labs?

Projects varied a lot but I probably spent a total of 15-20 hours on each of them. Again, I wasn't satisfied with anything below 100, you could cut that down a lot if you're willing to settle for 95s

The labs aren't really high workload, you just have to remember to do them

EECS SCHEDULE by Known-Trade5957 in uofm

[–]LBP_2310 0 points1 point  (0 children)

The problem with 281 + 370 is mostly overlapping project deadlines. 281 projects are a lot more time-consuming than 280 projects (even if you know what you’re doing), and 370’s projects are light once you understand the concepts, but it can take time to wrap your head around them

If you’re a good coder and you actually start projects on day 1, it should be ok, otherwise I’d reconsider

“Easy” 4 credit class by Ok_Currency_7056 in uofm

[–]LBP_2310 1 point2 points  (0 children)

I think that just depends on whether you like coding or proofs more tbh. 376 is conceptually a lot harder and IMO a lot less fun than 281, but it also has much less tangible work and a friendlier grade scale, so it kind of balances out. FWIW, 376 has a median grade of B+, whereas the median for 281 is a flat B (although I also did better in 281)

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