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12686535 No.12686535 [Reply] [Original]

Which minor goes better with Computer Science - Math or Physics?

>> No.12686541

>>12686535
math/economics/statistics

>> No.12686543

>>12686535
Philosophy

>> No.12686611

>>12686535
Math obviously. Not even a question.

>> No.12686612

electrical engineering

>> No.12686658

>>12686535
Math goes better, but physics isn’t a bad minor at all, especially if you want to learn more about modeling or want to eventually dive into application areas involving NISQ (noisy immediate-term quantum) computers, which are actually fairly close. There is a huge amount of fundamental, nontrivial algorithmic and computational work in that direction, and a lot of it lies at the intersection of CS theory and physics theory.

What are you looking to get out of your degree though anon? Personally I think no matter where you go, doing a math minor, or if possible a double major, carries a huge amount of academic value and, with proper internships, fantastic industrial value. I’m doing research now, but the projects I got on during undergrad due to my double majors gave me a lot of experience in my studies and adjacent fields (not doxxing myself, but my first paper was published in an EE venue) to talk about during interviews.

>> No.12686722

>>12686658
I don't really know. I was thinking about doing some math modelling or ML stuff. Both minors seem interesting and math seems a better choice but for some reason I want to pass courses in Physics more. Though I don't plan to study either of them too deeply. Also I was studying Engineering for some time so probably having wide knowledge creates some uncertainty.

>> No.12686825

>>12686722
It's good to pick up skills on the engineering side, but don't give it too much thought unless you want to become a licensed engineer. In that regard, their curriculum is more valuable because of the degree you get out of it rather than the education.
Math is definitely what you want for modelling or ML. I suggest taking proof based linear algebra, real analysis, and of course numerical analysis for electives. For generally useful things in CS, take graph theory and/or combinatorics as electives as well.
>I want to pass courses in Physics more.
hm, ultimately go for what interests you most and do it from fundamentals (ie don't go for topics courses early on, focus on core stuff for your minor). You'll get relevant knowledge in one way or another.
But I do think it'd be best to go with a math minor with the aforementioned classes if your eyes are on ML.

>> No.12686861

>>12686535
whichevers fastest and easiest, so you can spend more time learning something actually useful

>> No.12686893

>>12686861
>jump into useful technical subject
>realize you have moneybrain fundamentals
nobody's asking OP to go through another degree lmao, but it's easy to get into ML and realize all you can do is codemonkey shit. You might as well work on a couple of topics to make sure you do the interesting stuff instead of writing rote calls to tensorflow

>> No.12686905

>>12686535
Statistics

... for the Data Science meme