Weekly "what are you reading" Thread #71 :marseyreading:

To discuss your weekly readings of books, textbooks and papers.

!bookworms !classics

@Murdervann :marseypin2: pls

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Oh like 3D heat equations and that stuff.

My PDE final exam was 2 questions, 2 hours to finish. 10 pages of scribbles. Got both the answers wrong. Got a B on it. I was only a little bit r-slurred.

Just sell out and manage stuff and impress people that you know how to solve for the slope of x²

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Oh like 3D heat equations and that stuff.

Sort of, momentum, mass and heat transfer.

Just sell out and manage stuff and impress people that you know how to solve for the slope of x²

:#marseyhesright:

!engineering reminder that your work will consist mostly of excel sheets, CAD and writing reports no matter how many courses you took on thermodynamics, transport phenomena, geotech and electromagnetism, and !mathematics reminder that unless you become an academic-cel you're not going to use real analysis or anything proof based ever again. :marseyserioushatfact:

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reminder that unless you become an academic-cel you're not going to use real analysis or anything proof based ever again. :marseyserioushatfact:

Applies for codecels and probably most of the degreecels, too

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Bist du ein codecel?

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:marseyagree:

:marsey4chantyping#:

I think the only mathematics I needed was just applied statistics and some Linear Algebra

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Shouldn't have edited and fully answered it because I know that you spam F5 Like wild :marseygossipsmug:

@nuclearshill

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Oh don't worry, when you sell out, your worksheets merely shift in topic. I'll give an example after I ramble.

Those !engineering skills are quite useful, but an amount of "converting to human" is required. There exist a few jobs where you're neurodivergent enough to speak to the nerds, and normie enough to speak to the bizchads, and act and a translator.

This does require that you have to push the nerds to provide you with their full analyses PLUS a high-level summary of the data that go into your own equation.

You may have to oversee and actions and interactions of more than one engineering firm, their material streams, market fluctuations, shipping, and then risks and uncertainties.

Naturally risk is translated into schedule and cost variance.

Also you need to capture production attrition, e.g. the percent of units produced which pass QAQC

You need to get their projections about production output capability, worker certifications, facility maintenance schedules, etc.

Then you roll up all that shit into a Monte Carlo randomizer and generate S-curves for cost versus probability.

Try to sell the boss on the 80P.

!engineering !mathematics !ifrickinglovescience I'd rather play lead guitar for AC/DC but this is ok too

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keep yourself safe

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At my last job we encountered a real math problem that needed actual theory to solve. I have a MMath (in CS) and my team lead is a super smart dude who studied math at MIT way back when.

We looked at it for like half a day and decided to just simulate it because it wasn't worth the effort. Then he asked his friend who's a math professor if she had any insights and she said "just simulate it".

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