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/sci/ - Science & Math


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10571660 No.10571660 [Reply] [Original]

What maths will I need to know before starting a computer science degree?
I can calculate the area of shapes. The degree starts in July.

>> No.10571674

>>10571660
You will need to be competent with quantic algebra, corsial lognomials, and high school level binumerology. You’ll also want to be at least familiar with sardinic quadraloops.

>> No.10571676

>>10571674
what the fuck
is there a linear progression of things before this I will have to go through before doing these or should I jump onto these and try until they stick?

>> No.10571688

>>10571676
you need to learn them all at once
blindfolded and at 2am

>> No.10571736

help

>> No.10571744

>>10571736
If you aren’t yet very competent with transvarial logic shrubs or unpropositional squalidomials I’d just give up now, July is too soon to be prepared.

>> No.10571796

>>10571736
first post answered your question, I don't know what more help you want

>> No.10571798

>>10571796
non meme help

>> No.10572839

y = mx + b

>> No.10572866

>>10571660

the computer does the math for you

>> No.10572874

>>10571660
Linear algebra helps

>> No.10572913

>>10571660
Why don't you check the course website/syllabus and find out?

>> No.10573770

>>10571674
this makes me laugh anew every time I come back and read it

>> No.10573892

>>10571674
You forgot to mention boolean geometry.

>> No.10573925

Just bring a calculator to class, it's not like humans do any thinking that the calculator can't

>> No.10573953

>>10571676
You are being fooled. Algebra and arithmetic should be enough to start out with. If you're taking a math course concurrently with your programming classes, you'll be fine.

>> No.10573955

>>10571660
Discrete mathematics

>> No.10573974
File: 55 KB, 574x839, typical cs degree.png [View same] [iqdb] [saucenao] [google]
10573974

>>10571660
>What maths will I need to know before starting a computer science degree?

None, they start from the beginning.

>> No.10574030

>>10573953
Wrong, most pre-major CS students fail because they aren't accustomed to seeing recursive lognomial regression, which is a fundamental part of corsial lognomials. It's useful to start studying those subjects as soon as possible.

>> No.10574035

afdscfafcf

>> No.10574063

Start with basic algebra and quadratic equations, and trigonometry
Then move on to functions, derivatives, and integrals.
Then differential equations and multivariable calculus.
Then do laplace and fourier transforms
End your study with complex numbers, contour integrals, residues, and conformal mapping

If you study for at least 10 hours a day from now until July you will be able to do it

>> No.10574197

>>10571660
CS is basically math++, and a CS graduate is considered élite, capable of mastering in 1 year what math graduates do in 2 years. Deal with it!
World's élite universities (e.g. MIT, Princeton) will tell you right away that as their CS student you are considered the best group they have and that math students go slower than you, and increase your load to crazy levels As a CS student, you are expected to master (continuous) calculus, discrete calculus (discrete math proofs, hypercubes for parallel algorithms), optimization (machine/deep learning, compilers), category theory (functional programming), logic (up to automated proofs, i.e. including set theory), differential equations, topology (computational geometry, distributed algorithms), probability and statistics (reinforcement learning, queueing), number theory (cryptography), graph theory (almost everywhere)... There is no functional analysis needed yet, but it's heavily used for PhD degrees anyway. You need to know all this down to the level of proving theorems if you want to achieve anything in CS While pure math & physics progress slowed down, the advances in CS are fast and accelerating. CS is the major of future. Math jobs are shrinking; CS jobs will grow even more than today. The AI revolution is here, from Google search to Uber pool to auto correct to recommendation engines, mathematicians are being left in the dust by algorithms from the 90's and just sheer brute force.

>> No.10574205

>>10573974
That seems pretty slow paced. I've covered most of the stuff in your pic and I'm only finishing 2nd year at UBC.

>> No.10574340

>>10574197
coping so hard

>> No.10575402

>>10574205
Exactly, no one takes Data Structures and Algorithms in their last year, it's a first/second year course. Also, why the fuck are there 6 different "Intro to Programming in X language" courses?

>> No.10576412
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10576412

>>10573974
>>10574205
That post was done by a /g/ retard, pic related is more accurate.

>> No.10576601

>>10576412
This. CS is a fucking shitty meme.
CE provides more learning opportunities and SE is more practical.

You know what you need more than we do, so if you just want an answer. Shit like Calculus and DEs might be expected of you, and depending on the application you may never use it or you may rely heavily on it. But, you're going to need linear algebra for damn near anything. You HAVE to learn linear algebra.

>> No.10576764

>>10572839
except in Australia, where they use
q + xw = λ

>> No.10578101

>>10574197
>World's élite universities
die French fag

>> No.10578203

>>10574063
This is what physicists should be studying. Realistically, if youre in any other field, especially math and CS Calculus I, II are really what you need in terms of diff. equations/calculus as an undergrad. Beyond that discrete math/logic, linear algebra, statistics, and abstract algebra are going to be alot more useful in CS that multivariable calculus, vector calculus, or diff. Eq.

>> No.10578241

>>10571660
>computer science degree
>needing math

>> No.10578244
File: 22 KB, 237x320, 4705A331-75CF-4445-98E3-BB578F86E569.jpg [View same] [iqdb] [saucenao] [google]
10578244

>thread is still going after question was answered with first response

>> No.10578609

>>10576764
Holy HECK, hahha

>> No.10578624
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10578624

>>10576764
I'm drunk and this made me lose my shit