by lebanon_tn on 7/17/18, 12:11 PM with 41 comments
by dmreedy on 7/17/18, 3:37 PM
A quote from the opening:
'BEFORE I WAS two years old I had developed an intense involvement with automobiles. The names of car parts made up a very substantial portion of my vocabulary: I was particularly proud of knowing about the parts of the transmission system, the gearbox, and most especially the differential. It was, of course, many years later before I understood how gears work; but once I did, playing with gears became a favorite pastime. I loved rotating circular objects against one another in gearlike motions and, naturally, my first "erector set" project was a crude gear system. I became adept at turning wheels in my head and at making chains of cause and effect: "This one turns this way so that must turn that way so..." I found particular pleasure in such systems as the differential gear, which does not follow a simple linear chain of causality since the motion in the transmission shaft can be distributed in many different ways to the two wheels depending on what resistance they encounter. I remember quite vividly my excitement at discovering that a system could be lawful and completely comprehensible without being rigidly deterministic. I believe that working with differentials did more for my mathematical development than anything I was taught in elementary school. Gears, serving as models, carried many otherwise abstract ideas into my head. I clearly remember two examples from school math. I saw multiplication tables as gears, and my first brush with equations in two variables (e.g., 3x + 4y = 10) immediately evoked the differential. By the time I had made a mental gear model of the relation between x and y, figuring how many teeth each gear needed, the equation had become a comfortable friend.'
by nabla9 on 7/17/18, 5:16 PM
Take for example Sheaf[1]. The basics are not that hard if you spend some time. But once you have learned it in abstract. Can you see use for it [2] in data analytic, signal processing, or machine learning? How long you have to work for it to really click to the point where you can see and utilize the concept?
I think this is the reason why mathematicians are needed more in every area. They should walk around pointing things out.
by rrherr on 7/17/18, 1:07 PM
Me after #strangeloop: I'm not a real programmer unless I knit”
by stared on 7/17/18, 3:33 PM
A collaborative science-based games list: https://github.com/stared/science-based-games-list/ (and its discussion: https://news.ycombinator.com/item?id=14661813)
by dharma1 on 7/17/18, 2:11 PM
by danharaj on 7/17/18, 1:36 PM
by Someone on 7/17/18, 2:45 PM
by mar77i on 7/17/18, 4:19 PM
by User23 on 7/17/18, 8:20 PM
by internetman55 on 7/17/18, 4:21 PM
by PebblesRox on 7/17/18, 2:40 PM
by geoalchimista on 7/17/18, 6:33 PM
Edit: Didn't see that the author of the article is a math professor. This method seems to work in a liberal arts college, but I doubt it would work in a STEM curriculum.