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157 points tdhttt | 1 comments | | HN request time: 0.36s | source
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pclmulqdq ◴[] No.45125831[source]
EE encompasses a lot of "engineering that takes hard math" at a professional and research level (similar to "hard CS," just different fields of math), so it is very hard to do as an undergrad, when your background in complex analysis and E&M is weak.

Early classes on circuits in EE will usually take shortcuts using known circuit structures and simplified models. The abstraction underneath the field of analog circuits is extremely leaky, so you often learn to ignore it unless you absolutely need to pay attention.

Hobbyist and undergrad projects thus usually consist of cargo culting combinations of simple circuit building blocks connected to a microcontroller of some kind. A lot of research (not in EE) needs this kind of work, but it's not necessarily glamorous. This is the same as pulling software libraries off the shelf to do software work ("showing my advisor docker"), but the software work gets more credit in modern academia because the skills are rarer and the building blocks are newer.

Plenty of cutting-edge science needs hobbyist-level EE, it's just not work in EE. Actual CS research is largely the same as EE research: very, very heavy on math and very difficult to do without studying a lot. If you compare hard EE research to basic software engineering, it makes sense that you think there's a "wall," but you're ignoring the easy EE and the hard CS.

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amelius ◴[] No.45126229[source]
This is especially true because for doing most _hard_ EE work, you really need access to a fab, and so a lot of money. This is not really the case for most hard CS work.
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1. sevensor ◴[] No.45126394[source]
“Things you can only do in a fab” is but a subset of “hard problems in EE.” How many people actually understand induction motors well enough to design a better one? Or how about antenna theory? The math makes most people’s eyeballs melt, and the space of possible antenna designs is utterly unfathomably huge. And then there’s acoustics, which is just like antenna theory except the math is sideways. I could go on. Control theory. Analog signal processing. Digital signal processing. Biomedical.

I say all this as a recovering semiconductor engineer: EE is a huge field. I can’t think of a subdiscipline where we’ve run out of new ideas to explore, and most of them don’t require bucketfuls of HF. The real problem is that the financial rewards are relatively small, the math is ferocious, and there are so few practitioners, let alone experts doing research.