←back to thread

157 points tdhttt | 2 comments | | HN request time: 0.001s | source
Show context
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.

replies(7): >>45126229 #>>45126357 #>>45126514 #>>45127402 #>>45127675 #>>45128168 #>>45128950 #
dfawcus ◴[] No.45127402[source]
Yeah - there was a massive filtering of the students between the 1st year entry, and the second year at my Uni. Largely down to people unable to handle the (not terribly) complex maths at that stage.

I knew a number of folks in the first year who were very good at practical electronics, having come in from a technician side, but simply gave up due to the heavy maths load.

It got more complex when doing Control Theory, what with Laplace and Z transforms, freq domain analysis, and the apocryphal Poles and Zeros.

Further culling ensued at that point.

replies(2): >>45128577 #>>45131315 #
Eggpants ◴[] No.45128577[source]
I went into EE wanting to learn how to design CPU’s and thought the analog side would be boring.

However, control theory turned out to be my favorite class. Learning how negative feedback loops are everywhere was an eye opener.

Also learning Laplace transforms was one of my first “holy shit this is freaking clever and cool” moments. Just like how parity bits in data streams can be used to detect AND correct errors.

replies(4): >>45128876 #>>45129325 #>>45129968 #>>45133267 #
1. dreamcompiler ◴[] No.45133267[source]
Agreed on the Laplace transforms. They instantly turn linear differential equations into basic high school algebra problems. But they don't work for nonlinear problems.
replies(1): >>45134327 #
2. harrall ◴[] No.45134327[source]
I remember when I first learned calculus and holy shit that was cool already. Then it kept getting better and better as I learned differential equations, linear algebra, etc.

To me EE = heavy math and that’s what makes it so fun.

I actually do software now but it’s completely different. There’s like no math in most applications of it. Putting something together with a Rasp Pi or Arduino feels like 98% software and 2% EE.