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For some reason, it’s a common belief that everyone who goes into fields such as math, economics or computerscience is brilliant, probably in part because those fields are financially rewarding, Miller-Cotto says. But a case of “senioritis” caused her to drop out of high school calculus. She describes herself as a “math brain.”
However, one thing that’s often overlooked is computerscience education, an incredibly essential subject and skill in today’s digital era. While the science aspect (chemistry, biology, and physics) and mathematics (calculus and algebra) is a breeze to figure out, the engineering and technology aspects are less straightforward.
years of my career at Weehawken High School, where I taught Algebra I (students in grades seven to nine) and AP Calculus (grades 11-12). Starting my career at the height of COVID literally altered my brain chemistry as an educator. At Bush, I teach technology applications, computerscience and robotics. For the past 1.5
Let’s look at the main branches: Science in STEM. It includes topics such as chemistry, biology, physics, astronomy, and geology. A student who pursues a science-related career can become a medical professional, meteorologist, agriculturist, zoologist, or biological technician. Types of Stem Programs. Engineering in STEM.
And in May 2021 that intersected with practical blockchain questions , which caused me to write about “ The Problem of Distributed Consensus ”—which would soon show up again in the science and philosophy of observers. Let’s talk first about chemistry. I never found chemistry interesting as a kid. OK, so that’s a lot of projects.
But it really wasn’t physics, or computerscience, or math, or biology, or economics, or any known field. The idea not of solving equations, but instead of setting up computational rules that could be explicitly run to represent and reproduce things in the world. What is that science? But at least it would have a home.
Chemistry / Molecular Biology. In thinking about chemistry we can make a much more concrete multicomputational model: the tokens are actual individual molecules (represented say in terms of bonds) and the events are reactions between them. (As Perhaps not for chemistry as it’s done today. Does this matter, though?
Chemistry / Molecular Biology. In thinking about chemistry we can make a much more concrete multicomputational model: the tokens are actual individual molecules (represented say in terms of bonds) and the events are reactions between them. (As Perhaps not for chemistry as it’s done today. Does this matter, though?
Such abstract functions could be used both “symbolically” to represent things, and explicitly to “compute” things. All sorts of (often ornate) formalism was developed in mathematical logic, with combinators arriving in 1920 , and lambda calculus in 1935.
Once one has the idea of “equilibrium”, one can then start to think of its properties as purely being functions of certain parameters—and this opens up all sorts of calculus-based mathematical opportunities. That anything like this makes sense depends, however, yet again on “perfect randomness as far as the observer is concerned”.
It didn’t help that his knowledge of physics was at best spotty (and, for example, I don’t think he ever really learned calculus). In 2015 Ed told me a nice story about his time at Caltech: In 1952–53, I was a student in Linus Pauling’s class where he lectured Freshman Chemistry at Caltech.
And so being able to just get some great people at the table, some of the amazing sponsors that we have, and I would say the successes have really been at this point, having students who worked with us, you know, back in 2016 to now see them in college and pursuing computerscience. I’m a prospective computerscience major there.”
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