L
Le Chaud Lapin
- Jan 1, 1970
- 0
John said:Academic "engineers" love complex math, calculus and stuff. As a
working circuit designer, I don't use calculus at all (except in
understanding the basic concepts, integration and differentiation and
differential equations aka closed loops) and could mostly get by with
a 4-function calculator with square root. A little basic algebra is
handy. For anything really complex and nonlinear - and everything is
nonlinear - simulation is the way to go. A good feel for signal
processing - Fouriers, convolution, mixing and modulation, stuff like
that, is invaluable, but "feel" is usually enough.
I actually became irate as I sat in a course on signal processing, and
when it came time (yet again) for Fourier transforms, and I said to
myself, "Ok, here goes...finally, I can sit back, relax, and let this
professor teach me what I am supposed to know already but actually
don't. Whatever you do, don't let him do that thing where he tries to
turn the whole class into a bunch of pattern monkeys.... Watch closely,
Gibbs phenomenon, the whole bit...be one with the Fourier...breathe the
Fourier..."
And in an instant, he went straight from 20-seconds of theory 20
minutes of cookbook rules on frequency-domain/time-domain mappings:
"Differentation in frequency domain is equivalent to ...."
I was furious.
My eyes began to well in utter frustration, and I finally blurted
out...
"When...oh when!!! ARE WE GOING TO ACTUALLY LEARN THIS STUF!! Anyone
can read a table, but is there no one ELSE here who feels like I do,
that they know a little but doesn't really KNOWWWW!!!!!..." My
classmates remained mostly silent, but some of them quietly nodded.
The professor stood speechless with his mouth open.
The teaching assistant came to the rescue by explaining that it was
pointless to try to *really* teach us, that one needs to study theory
of distributions first, and even then, it's still a matter of active
research. Our heads would pop (at least mine would have).
I never studied theory of distributions, so I still don't know what
Fourier transforms really are. But I do understand convulution and
filtering, and I am sure others will agree that, when you can explain
in simple terms at a birthday party why the TV needs to be tuned to
channel 3 or 4 to process the signal from the video recorder, it's a
good feeling.
I think forcing yourself to like the math is not a bad idea. The ratio
of career time to college time is a large number, especially if you
discount the non-technical courses that you were forced to take, and
you should keep this in mind. Study math in bite-size pieces, and tuck
each piece away as you conquer it. Learning on your own at a slower
pace is not the same as being force-fed in college.
If you finally master gamma functions at 50, so what? It's fun!
-Le Chaud Lapin-