bjs250

This is my fear of working remote. Seems to come up relatively often in threads that discuss remote work -- needing to force oneself to leave the house (which is also the workplace)

The joys of capitalism.

I jest, though. While it probably feels the same on paper, your mental health is (probably) much better now, I would assume.

Just wanted to say that this looks super dope. Love the aesthetic as well.

Yeah, well I totally agree on that end. Proofs are almost never practical for anyone.

Number theory is also a huge bore

Yeah, I was being snarky up above, but will definitely look forward to the future articles.

Here's the way I look at it: learning loss is almost inevitable, but I think it's less of a problem than it appears.

What I think we should instead pay attention to is the rate of re-learning. Something may take significant time and effort to learn the first time, and after say a year or two, one may forget it. But when re-introduced to the concept (when you may actually need it), I think one can re-learn it quite rapidly.

Politely disagree. I'm going to take engineering math to mean ~4 semesters of calculus (differentiation, integration, multivariable, and differential equations) as well as maybe a Linear Algebra class and a discrete mathematics class (probability, set theory, combinatorics). I would argue only the discrete mathematics course is practically useful

Anecdotally, as an engineer in industry, I use very little of the engineering math. Number sense and sort of general quantitative reasoning are used.

Let's suppose for sake of argument that I actually used engineering math though. Analytic solutions to derivatives and integrals (2 semesters of calculus) are largely useless because of applications like Wolfram Alpha that will solve these problems for you. The small class of ODE/PDE problems that are handled by analytic undergrad math classes will most often be solved using numerical methods such as Runge Kutta. Linear algebra is actually super useful in practice because you can use matrix solvers to solve systems of linear equations -- but a first course in undergraduate linear algebra is often just basic by-hand computations on matrix systems, and don't discuss higher order concepts at more than a shallow level (spans, invertibility, spectral decomposition, canonical forms, etc.)

>"I'll show you how to do DP"

Hey it's the same 3 example problems that are in every textbook, GeeksforGeeks, Leetcode, etc.

Anyone have advice for junior SWEs? I will have a year of co-op experience by the end of 2019, and was thinking of applying from the US to work in Germany or the Netherlands for full-time junior positions.