Open book

>open book
>see this
>just get a degree bro its easy

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you need to be mentally ill to understand this

>brainlet detected

All you need to know is Yist = Pist when its Kist.

unfuck your shit

The hard part is trying to integrate that bullshit

This is not hard math, it's finance right?

It's all fake.

yeah but i havent touched math for over 10 years. where do i start

I don't know what these equations are, but they are algebraic and if you know what each term is, they're not that hard to use. I assume they are economics equations.

Just learn what the individual parts mean and it's not so freaky

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a good degree is hard. this is the biggest cope ive seen in the west for decades. you dont get a job with "a degree" anymore than you get a nutritionally complete meal from "some food".

maybe you should come to terms with being a jobless lazy shit, because doing well academically is mostly persistence

ITT: posturing

Getting a degree means someone is going to teach you how to decipher that, user.

Not really.
They'll go over it once and the rest is up to you.

Ask your prof for help. For real. I got a physics and math degree, and learned it's best to just ask for help if it doesn't just sink in in lecture. Dive in. You'll start picking up patterns.

Math looks a lot harder than it actually is. Though I guess I'm not a mathematician and I'm generalizing, so I might be full of shit. But from what I've seen math is all about simplifying and quantizing very complex shit.

I can read the equations, and none of the math is harder than calc-1 (the summation). But I'm curious how you knew it was finance.

properties of division, exponentials, and what a summation is.
The maths in economics doesn't go past high school level, the hard part is understanding what each variable is and learning 5000 linear models.

>literally just add, divide, multiply, exponent, and one sum
>no integration, no differentials

thist

>anything that is not potato i dont understand!
the absolute state
econometrics is easy but boring af

>yist = pist cubed minus dist cubed
seems legit

Kind. I think that varies for people and what field your in. If you need certain proofs or not. Physics sort of turned into shapes and patterns for me after a while. It feels good when you're in the groove of it.

It looks complicated because you don't know what it means. If you did know it's probably pretty simple and straightforward.

>yeet = Ayy Kino Ligma

its actually microecon

> doesn’t understand why he makes minimum wage
> can’t do basic math

>yist= autist kist

>be pole
>math genius
>clean german toilets
>unclog german sinks
>cry about it

>a rare modern greek realizes his country isn’t economically feasible
>colored in yatsuba circa 2022

Are you the same user who's been stuck in the same degree for 14 years? If yes then you should probably drop out, become a welder/electrician and move to germany. They make good money there. Also you should've dropped out since year 1/2 if you were feeling like it's a waste of time, but greeks don't have the reputation of being geniuses to that's okay.

>econometrics is easy but boring af
ah yes, you just need to learn every single micro and macro model, and completely master statistics and statistical tools.
Piece of cake

Jewish initiation magic to obtain a higher degr33.

problems do not exist,life is simple

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You're the type of fag to skip the tutorial and then complain about how you don't understand what anything is, just read the book, don't skip to the flashy parts with lots of things to do.

Looks like thermodynamics, but the boring half about convection and shiiiet.

just learn mathematical modelling, then you will get how dumb and simplistic (and pretty much useless in most of the cases) those models are.

also, it's done by the software. Nobody is doing the calculus.

Great idea for a slide thread. I'll take the bait. Of course it looks hard when you're jumping into things you don't get to until years later. In any thing you do they ease you into this stuff and build up to it.

well it is easy, it is like learning how to read and write but this time you are making something physically useful out of the knowledge

Checked.
>Math looks a lot harder than it actually is.
You're right. It's just like reading any other symbolic language. It's dense and terse, but it is never ambiguous, and it gets easier quickly.

FWIW, I hear equations in my native language in my head as I read them. Reading symbolic logic is much harder than any equation, IMO.

I miss the days when I could just do math for its own sake.

It's actually best to start with the very basics, be humble and don't be afraid to relearn things you think you should know already. That might sound like a big task, but you'll be surprised how quickly things go if you start right from the beginning. For example, you'll probably be able to review your entire elementary math education in about a week. In my experience, many problems are actually about not knowing something you learned in grade eight--like algebra, for example.

The other thing to keep in mind is that everything is a placeholder for an operation. For example that big scary sigma just means add things by increments. So: for example what does 1+2+3+4+5 equal? That's all sigma really means. Something that helps is also find a list of the names of the notation so you can google what you are unfamiliar with. For example, if you see a squiggle and you know it's sigma, or alpha, or rho, it's good to have the name handy so you google its meaning. The other thing I find with financial math is there's a lot of nesting, so:

bar=foo+foo
baz = bar+bar
therefore, baz= foo+foo+foo+foo
You just keep placing more ideas inside small compact acronyms and symbols. You just have to keep unpacking the ideas until you reach basic arithmetic.

Lmao, that's just multiplications and exponents with a ton of autistic variable names. Swap them for xyz and the average 10th grader could solve it.

joshianlindsay.com/index.php?id=49

>Before you can model a complex dynamic system, you have to give some careful thought to the thing in the world you are trying to model. It’s one thing to model a system that is already well-understood (as would be the case in most undergraduate physics courses). These are often cases where you want to figure out how much of what things you need to produce a given amount of something. But the model can be written from existing knowledge.

>It is an entirely different thing for systems whose workings are not fully clear, or even unknown (climates, turbulence, neutron stars, and the interiors of living things). This model is the latter case; using a mathematical model to tease out things to look for in the real world. Since we shouldn’t intentionally infect people with diseases for the sake of understanding them, and since it’s too expensive or impossible to fully analyze many incidental cases to test the hypothesis, we build a mathematical model that represents our hypothesis and test it against conditions that we might plausibly find in the real world. If the model generates good predictions, it shortens the route to knowledge for experimentalists to find plausible causes for things in the real world.