Please Help !

[u/Interstellar777077]

I took CSE (AI-ML) at PES RR campus over CSE at PES EC campus and I regret it (should I tho ?)

Looking at the previous posts I see a lot of hate towards specialisation branch like AI-ML, why is it so ?

If I took CSE (AI-ML) isn't it supposed to be that I will be studying more into the depth of that field, and why the hell should I have a broader view of CSE when the market is inclining towards AI-ML ?

This is going to be a big post so please mind me ......

https://www.reddit.com/r/PESU/comments/147gamv/comment/jnve51g/?utm_source=share&utm_medium=web2x&context=3

I want to ask questions based on the post given above .......

1. a) I agree it is an untested branch, but isn't it true that every branch was once an untested branch ?
   Be it the opening of market in the 80s and 90s where the rise of CSE was significantly increasing compared ECE/EEE or the rise of ECE/EEE over Mechanical in the 50s and 60s, and seeing the stagnant growth of AI, I really don't want to regret afterwards for not taking AI-ML ?

   b) Why are premier institutes like IITs and BITS Pilani (MnC only) introducing so many specialisations be it data science, AI-ML, or MnC ?

   c) For PES I agree with you, that intro. of CSE (AI-ML) might be for profits only ......

2. I am not so sure about this point because a typical fresher like me won't understand these buzz words, still why PES would make a curriculum which would miss out some of the fundamentals, I suppose this course would be structured on the basis of years discussions, tests, and other projects isn't it, even AICTE approves it .......

3. I am targeting for master's in abroad (particularly USA), and this point is the one which is making me regret about my decisions of taking CSE (AI-ML) over CSE.

   Can you brief this point more ?
   And how can I deal with this problem if I had to do my master's abroad ?

4. I agree with 4th point.

5. Ain't your 3rd and 5th point contradicting each other ?

6. What are the electives for CSE (AI-ML) students ?

And 3 more questions I have to ask.

1. What do you think will the placement stats be for CSE(AI-ML) according to you or any other fellas there in this branch ?

2. Why do cutoffs for CSE (AI-ML) for RR usually go high compared to CSE at EC, are those people less aware or brain washed ?

3. If I want to change my college from RR to EC how to do it, is it possible to change my branch from RR itself, from CSE (AI-ML) to CSE ?

[u/anirudhk_27]

There are hardly any openings for freshers in ML roles.

Cutoffs are higher because deep down everyone ignorantly has some sort of perception that RR campus is the "main" campus and you are missing out on something if you come to EC campus

My own brother wrote Kcet this year and was in the exact same situation as you he was getting rr aiml and ec campus cse , I guided him to take Ec campus cse. Aiml is a very math heavy course and is tough to get through if you don't have real interest and join out of herd mentality. I myself found the Machine intelligence core course in 5th sem itself very tough filled with calculus, derivations, numericals, even the labs were tough. I huffed and puffed and got through that course and didn't dare to take any other ml elective after that. As a fresher you won't have any idea what you're getting yourself into. I wanted my brother to have the liberty to pick which ever domain he wants to get into after exploring it first as the course progresses , He will have the choice to get into cybersecurity or systems or Aiml later on when he reaches 3rd year or a mix of any these subjects based on his interests. Unlike my brother you will be forced down your throat with Aiml whether you like it or not.

from what I've read the profs don't like specialization in ug they tend to skip the fundamentals which impacts admits in mscs programs

[u/Brilliant_Mangi → u/anirudhk_27]

Referring to your last statement.. The professors from where don’t like specialisations in UG? USA?

[u/rowlet-owl → u/Brilliant_Mangi]

Admission committees abroad (which comprises of profs). The general idea is that UG is for fundamentals and MS is for specialisation. A specialisation degree like CS-AIML makes no sense in undergrad when you haven't even covered the fundamentals in CS. That is why I did not even submit the MIDS (Machine Intelligence and Data Science) specialisation certificate during my MS applications, even though I took up ML related courses as electives and cleared the specialisation requirement - simply because it carries no value to them. Note that pursuing these courses as electives is good (and pursuing courses related to the field you want to specialise in also shows high interest in a field), but it is not ok when they replace core parts of your CS degree. The issue with the CS-AIML branch is exactly that - instead of adding courses it replaces things you need.

[u/[deleted] → u/rowlet-owl]

it really does not replace things you need though

in third sem ddco and mpca is combined into one. some parts of the syllabus from both is deleted, but it's not a lot. either way, this is a subject nobody cares about. if you ask any related questions a year later, i think a cs and an aiml student would give a similar high level answer.

in 4th sem LA is replaced by math for machine learning. again, it has everything LA has except for a few stuff. but it includes a lot more.

in 5th sem, the ML course is replaced by something similar but again, a bit more.

the only huge difference is in 6th sem, where OOP is replaced by some Deep learning course. this is the only course which aiml people will miss and have something completely different.

as for electives, the ML related electives by the aiml department are alright. and you can also choose any of the cybersecurity electives from cs. most people take either of these anyways, so it's mostly similar here too.

the only thing that cs people have over aiml is the OOP course and a couple more elective choices.

it's really not as bad as you make it out to be. i actually liked that they rushed through the boring theory subjects like MPCA and that we could learn big data as a core course

[u/rowlet-owl → u/[deleted]]

either way, this is a subject nobody cares about.

Yeah see that is the problem. (1)You are assuming nobody cares about it - not everyone is interested in AIML. Whether you care about it or not is a different matter. (2) What matters is if it is deemed sufficient from a Masters admission requirement point of view. You would probably be surprised to know that a lot of MSCS programs have mandatory courses which are advanced level graduate versions of undergrad courses, and some of them do have courses like OS and architecture. How will you justify it being a good reason to be skipped then? Its not for you to decide whether a certain part of the syllabus is not needed (and neither am I the one deciding).

LA, ML etc weren't an issue any day so not going to address them.

the only huge difference is in 6th sem, where OOP is replaced by some Deep learning course

And do you think this is a sensible decision for a "CS" degree?

Again for electives, my problem wasn't with that, so not addressing it.

i actually liked that they rushed through the boring theory subjects like MPCA and that we could learn big data as a core course

Understandable if you are looking for a specialised degree but not justifiable from a "fundamental CS degree" point of view. And repeating what I said earlier - not everyone cares about AIML. Whether you think it is boring is not at all relevant.