MESSAGE
DATE | 2014-08-30 |
FROM | Ruben Safir
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SUBJECT | Subject: [NYLXS - HANGOUT] Math and Computer Sciences
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On 08/27/2014 04:09 AM, Bryan J Smith wrote: >>> I remember being confused by the amount of calculus involved, and to >>> this day, I still haven't used any of it. I think there's a danger of >>> wanting to give people a "well-rounded" education when it really doesn't >>> help you in employment situations. >> > > ?Huh? This is the second time this has been mentioned, and I don't > understand it. > > All I used in college was calculus ... for everything. Not just physics, > analysis, environmental impact, mechanics, discrete/linear/?DSP (CS/EE/CpE > flavors), signals/fields, etc... but also statistics, microeconomics, > management/risk even resource geography (actually came in very handy in two > jobs). In addition to the 12 semester hours of calculus (4 classes) itself > and 12+4 semester class+labs hours of chemistry+physics, I had 96 hours of > pre-core+core/option+specialty (general/EE+CpE) engineering that was all > calculus. I think I had a whole 5 classes, 15 semester hours, of "general > ed" (2x compsition, 2x history and philosophy) that did not use it. >
I'm with you Bryan but right now I feel like a small child at a buffy. I want big helpings of everything, and the BS would give that to me more than the MS, but I just can't see passing the MS up for a BS at this point, and I REALLY don't want to be treated like a 19 year old kid, chasing my tail all the time and driving me to burn out. At least for now, I think I'm going to try the MS because lower risk and higher reward.
That being said, I can't go without this math. Not just the Calc, but the matrix Math and linear algebra. I need to study these as well, and as soon as I get settled in, I'm going to be exploring this, even if I have to do this on my own.
I KNOW that knowing good math skills can get one hired when others are not. It means you can solve problems that others can not.
Ruben
> Now ... there might be an explanation for that. If you attend a college > that is an "Technology," but PhD-level research institution, you tend to > get calculus-based everything -- economics, statistics, management/risk, > etc... Some schools require it for just engineering, while others require > it for any science-based degree. My Alma Mater (UCF, originally founded as > FTU, an engineering college under a NASA space grant during Apollo) only > requires 100% calculus-based "pre-core" classes for engineers. As I > understand it, Georgia Tech and other "Institute of Technologies" are > notorious for requiring a number of math, statistics and even CS majors to > take engineering pre-core with 100% calculus-based classes which are shared > with an engineering "pre-core" track. > > ?It really depends on the institution, but even today, I cannot imagine > life without knowing calculus. > > E.g., rate of change in the US deficit is a 2nd order differential from > overall debt -- and that's very elementary calculus. But I can ?understand > how most Americans don't get that, and why 2000 -- despite having a net, > although small, surplus -- was a very, very bad time for the economy, which > led to some of the biggest layoffs in US history during Q1 of 2001 (jobs > are the last to lose and last to come back). > >> The question is probably along the lines of "what do you want to be when >>> you grow up?" Theoretical and practical computing are still two wildly >>> different things, maybe even more so now. What's the goal here? >>> Education because that's fun, or to get a job at the end of it? Is it >>> programmer or CTO? Tech advocate? Circuit designer? There are so many >>> specialities now; unless you're working for yourself, an employer will >>> probably be most interested in how you can help them, and that's often >>> in one specific area. Having a great breadth of knowledge is cool, but >>> being an expert at something tends to get you paid. >> > > ?That's interesting because most of my colleagues that majored in > Industrial Engineering are all upper-level administrators in major > corporations, and one is a C-level in a moderately sized company. I cannot > imagine microeconomics, much more risk management, without calculus. > > E.g., "Linear Feedback" isn't just an Electrical Engineering (EE) concept, > but applies to not just risk, but CS' concepts of "discrete systems" as > well as elementary digital signals.** You cannot build a system of > equations for that interaction without calculus. > > This "theory v. practical" argument really falls flat on its face with me. > That "Generation D" Sprint commercial they used to push used to make me > laugh, because the world is very much analog. I had an advisor in college > tell me I shouldn't switch away from Electrical Engineering to avoid > signals and fields because analog is still everything. And he was right. > > I only wished I would have went after jobs in Fields because that > experience is extremely and heavily sought after in today's wireless world. > Even though I only worked in aerospace and semiconductor a small part of > my career (6 years total), I do like being at a client and not only knowing > what the heck they are talking about. I can even relate IT-centric closet > and risk to them as well, instead of just talking with words. > > Even just my elementary statistical courses + past engineering work alone > allowed me to garner great respect at several clients with researchers > doing a lot of heavy analysis. E.g., it's much easier to understand SAS > and R if you have such a background, and they are in heavy use in many > divisions of many corporations and government. > > Which brings me to the Asimov and Sagan worries that if we don't keep > teaching our future workers and leaders how to do basic -- not theoretical, > but "basic" -- math and science, they will quickly forget how to build > things. In fact we're pretty much reached that point with nuclear power > plants, and only the US Navy (military) and French (commercial) being the > sole authorities on the matter these days. > > -- bjs > _______________________________________________ > nylug-talk mailing list > nylug-talk-at-nylug.org > http://mail.nylug.org/cgi-bin/mailman/listinfo/nylug-talk >
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