Originally posted by benmint0n
Let's do a math test, senor Calculus16
sure, what's your jam?
Let's do a math test, senor Calculus16
sure, what's your jam?
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benmint0n
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Calculus for the most part. I dabbled in statistics but wasn't excited by it enough to pursue.
What's yours?
What's yours?
Primate
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Originally posted by benmint0n
Calculus for the most part. I dabbled in statistics but wasn't excited by it enough to pursue.
What's yours?
I took statistics. It was a mofo. Not as bad now with all the tech out there, but still pretty tough.
Calculus for the most part. I dabbled in statistics but wasn't excited by it enough to pursue.
What's yours?
I took statistics. It was a mofo. Not as bad now with all the tech out there, but still pretty tough.
benmint0n
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Originally posted by Primate
I took statistics. It was a mofo. Not as bad now with all the tech out there, but still pretty tough.
I feel like it's kind of the same with lots of higher level math- there are programs available now which can solve all sorts of things with ease. But in a classroom when you need to do it by hand to show that you really understand it.. that's a whole different beast.
I took statistics. It was a mofo. Not as bad now with all the tech out there, but still pretty tough.
I feel like it's kind of the same with lots of higher level math- there are programs available now which can solve all sorts of things with ease. But in a classroom when you need to do it by hand to show that you really understand it.. that's a whole different beast.
benmint0n
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Originally posted by stromstarhammer
My undergrad was in math. Hated it.
Hated math? You must hate yourself to major in it then haha
My undergrad was in math. Hated it.
Hated math? You must hate yourself to major in it then haha
benmint0n
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Primate, you're in the steel business still, correct? How's business for you lately?
Catullus16
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Originally posted by benmint0n
Calculus for the most part. I dabbled in statistics but wasn't excited by it enough to pursue.
What's yours?
mostly applied math. multilinear algebra, with grounding in group theory (mostly galois fields). scientific computing, with emphasis on numerical methods (discretization, approximation, etc). optimization modeling, linear programming, duality theory, sensitivity analysis, network programming, graph theory, algorithm design, lambda calculus, etc, etc. in stats, mostly combinatorics and regression methods, but also stochastic processes and ito calculus. algebraic coding theory, number theory of primes, cryptography, etc, etc.
very weak on most advanced continuous methods, differential equations, real analysis, complex analysis, functional analysis, variational methods, differential geometry, most topology, asymptotic expansions, and the like. i've already forgotten most of the tricky calculations for differential and integral calculus. heck, i forget log rules all the time and if you asked me to manually do lebesgue integration, i'd have to look it up.
sucks that you didn't find stats exciting, maybe you had some uninspiring profs. or maybe it's because descriptive statistics is a snore and things don't pick up until you're no longer asked to do shit like calculate poisson distributions by hand and can do cool inferential tricks like PCA and cluster analysis.
Calculus for the most part. I dabbled in statistics but wasn't excited by it enough to pursue.
What's yours?
mostly applied math. multilinear algebra, with grounding in group theory (mostly galois fields). scientific computing, with emphasis on numerical methods (discretization, approximation, etc). optimization modeling, linear programming, duality theory, sensitivity analysis, network programming, graph theory, algorithm design, lambda calculus, etc, etc. in stats, mostly combinatorics and regression methods, but also stochastic processes and ito calculus. algebraic coding theory, number theory of primes, cryptography, etc, etc.
very weak on most advanced continuous methods, differential equations, real analysis, complex analysis, functional analysis, variational methods, differential geometry, most topology, asymptotic expansions, and the like. i've already forgotten most of the tricky calculations for differential and integral calculus. heck, i forget log rules all the time and if you asked me to manually do lebesgue integration, i'd have to look it up.
sucks that you didn't find stats exciting, maybe you had some uninspiring profs. or maybe it's because descriptive statistics is a snore and things don't pick up until you're no longer asked to do shit like calculate poisson distributions by hand and can do cool inferential tricks like PCA and cluster analysis.
Catullus16
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Originally posted by benmint0n
I feel like it's kind of the same with lots of higher level math- there are programs available now which can solve all sorts of things with ease. But in a classroom when you need to do it by hand to show that you really understand it.. that's a whole different beast.
there's a huge shift away from this in mathematic pedagogy, btw
well, at least that's the case for applied math, where you have to learn exactly why matlab keeps giving you complex eigenvalues when you know that's not true. so rather than learning how to calculate things by hand, you have to learn how to calculate things by computer -- and that includes knowing not just how floating point numbers are handled, but also how to design your algorithms so that errors are minimized without sacrificing too much performance.
I feel like it's kind of the same with lots of higher level math- there are programs available now which can solve all sorts of things with ease. But in a classroom when you need to do it by hand to show that you really understand it.. that's a whole different beast.
there's a huge shift away from this in mathematic pedagogy, btw
well, at least that's the case for applied math, where you have to learn exactly why matlab keeps giving you complex eigenvalues when you know that's not true. so rather than learning how to calculate things by hand, you have to learn how to calculate things by computer -- and that includes knowing not just how floating point numbers are handled, but also how to design your algorithms so that errors are minimized without sacrificing too much performance.
Primate
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Originally posted by benmint0n
Primate, you're in the steel business still, correct? How's business for you lately?
Yes. Structural Steel. It dropped way off the first quarter, but is gearing up hard now. Pretty typical pattern. Election year makes it a little tougher, though. (Everyone gets crazy hungry trying to squirrel away nuts for the assumed decline)
Primate, you're in the steel business still, correct? How's business for you lately?
Yes. Structural Steel. It dropped way off the first quarter, but is gearing up hard now. Pretty typical pattern. Election year makes it a little tougher, though. (Everyone gets crazy hungry trying to squirrel away nuts for the assumed decline)
Primate
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Originally posted by benmint0n
I feel like it's kind of the same with lots of higher level math- there are programs available now which can solve all sorts of things with ease. But in a classroom when you need to do it by hand to show that you really understand it.. that's a whole different beast.
Not just higher math. Everyday calcs in my industry that used to eat time can be grabbed from free websites, or are built into the software we use.
I feel like it's kind of the same with lots of higher level math- there are programs available now which can solve all sorts of things with ease. But in a classroom when you need to do it by hand to show that you really understand it.. that's a whole different beast.
Not just higher math. Everyday calcs in my industry that used to eat time can be grabbed from free websites, or are built into the software we use.
Catullus16
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Originally posted by Primate
Yes. Structural Steel. It dropped way off the first quarter, but is gearing up hard now. Pretty typical pattern. Election year makes it a little tougher, though. (Everyone gets crazy hungry trying to squirrel away nuts for the assumed decline)
gonna make a post-brexit play for tata?
Yes. Structural Steel. It dropped way off the first quarter, but is gearing up hard now. Pretty typical pattern. Election year makes it a little tougher, though. (Everyone gets crazy hungry trying to squirrel away nuts for the assumed decline)
gonna make a post-brexit play for tata?
Primate
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Originally posted by Catullus16
gonna make a post-brexit play for tata?
I think we'll stay in the US.
gonna make a post-brexit play for tata?
I think we'll stay in the US.
Primate
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Originally posted by Primate
I think we'll stay in the US.
The industry hasn't become quite as corporate here as it has in the UK and some other places.
I think we'll stay in the US.
The industry hasn't become quite as corporate here as it has in the UK and some other places.
benmint0n
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Originally posted by Catullus16
mostly applied math. multilinear algebra, with grounding in group theory (mostly galois fields). scientific computing, with emphasis on numerical methods (discretization, approximation, etc). optimization modeling, linear programming, duality theory, sensitivity analysis, network programming, graph theory, algorithm design, lambda calculus, etc, etc. in stats, mostly combinatorics and regression methods, but also stochastic processes and ito calculus. algebraic coding theory, number theory of primes, cryptography, etc, etc.
very weak on most advanced continuous methods, differential equations, real analysis, complex analysis, functional analysis, variational methods, differential geometry, most topology, asymptotic expansions, and the like. i've already forgotten most of the tricky calculations for differential and integral calculus. heck, i forget log rules all the time and if you asked me to manually do lebesgue integration, i'd have to look it up.
sucks that you didn't find stats exciting, maybe you had some uninspiring profs. or maybe it's because descriptive statistics is a snore and things don't pick up until you're no longer asked to do shit like calculate poisson distributions by hand and can do cool inferential tricks like PCA and cluster analysis.
I don't want to do the math test anymore. I got an engineering degree and breezed through the calculus needed for that (differential equations and multivariable calculus). Found it very fascinating and always wanted to pursue it further, but didn't really see the point in taking more courses since I didn't need to in order to achieve my engineering goals.
The stats courses I took pissed me off due to the fact that we had to use 'R' in all of them, and I found it quite non-user friendly.
I much preferred using matlab, which was a blast.
mostly applied math. multilinear algebra, with grounding in group theory (mostly galois fields). scientific computing, with emphasis on numerical methods (discretization, approximation, etc). optimization modeling, linear programming, duality theory, sensitivity analysis, network programming, graph theory, algorithm design, lambda calculus, etc, etc. in stats, mostly combinatorics and regression methods, but also stochastic processes and ito calculus. algebraic coding theory, number theory of primes, cryptography, etc, etc.
very weak on most advanced continuous methods, differential equations, real analysis, complex analysis, functional analysis, variational methods, differential geometry, most topology, asymptotic expansions, and the like. i've already forgotten most of the tricky calculations for differential and integral calculus. heck, i forget log rules all the time and if you asked me to manually do lebesgue integration, i'd have to look it up.
sucks that you didn't find stats exciting, maybe you had some uninspiring profs. or maybe it's because descriptive statistics is a snore and things don't pick up until you're no longer asked to do shit like calculate poisson distributions by hand and can do cool inferential tricks like PCA and cluster analysis.
I don't want to do the math test anymore. I got an engineering degree and breezed through the calculus needed for that (differential equations and multivariable calculus). Found it very fascinating and always wanted to pursue it further, but didn't really see the point in taking more courses since I didn't need to in order to achieve my engineering goals.
The stats courses I took pissed me off due to the fact that we had to use 'R' in all of them, and I found it quite non-user friendly.
I much preferred using matlab, which was a blast.
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