This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
Today, a collection of more than 500 prominent business, education and nonprofit leaders called on states to update their K-12 curriculum to make computerscience a core subject. The effort was led by Code.org, an education nonprofit focused on expanding computerscience education. You'd expect everybody to learn it.
Around the country, “ math wars ” are raging over attempts to increase equity by playing down calculus from the curriculum in favor of statistics or computerscience, or by delaying when students take algebra. For the high school summer program at Harvard, though, only algebra II was required.
® is a non-profit dedicated to expanding access to computerscience, and increasing participation by women and underrepresented minorities. Our vision is that every student in every school should have the opportunity to learn computerscience, just like biology, chemistry or algebra. https://code.org/about.
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.
In order to excel in the world of computers, people need to study computerscience in general. Students who study computerscience learn to design, analyze and develop computer hardware and software. However, many people think computerscience and it’s related fields are complicated.
Elementary algebra is the most fundamental and the most abstract algebra is modern algebra. Elementary algebra is crucial for the study of engineering, science, medicine, and economics. Elementary algebra is crucial for the study of engineering, science, medicine, and economics. Computation.
x, 2024 – CoderZ, the gamified coding platform and curriculum that introduces students to technology, computerscience and robotics, has been named the Best CTE Champions: IT & Coding: Real-World Learning in the Educators Pick Best of STEM® 2024 Awards , the only awards program judged by STEM educators.
As I teach my Linear Algebra and Differential Equations class this semester, which uses more computing than ever, I'm thinking even more about these topics. If anything, over the past seven years, my feelings about the centrality of computing in the mathematics major have gotten even more entrenched.
It’s a new paradigm—that actually seems to unlock things not only in fundamental physics, but also in the foundations of mathematics and computerscience , and possibly in areas like biology and economics too. You know, I talked about building up the universe by repeatedly applying a computational rule.
But among the examples I’ve at least begun to investigate are metamathematics, molecular biology, evolutionary biology, molecular computing, neuroscience, machine learning, immunology, linguistics, economics and distributed computing. Chemistry / Molecular Biology. There are many.
But among the examples I’ve at least begun to investigate are metamathematics, molecular biology, evolutionary biology, molecular computing, neuroscience, machine learning, immunology, linguistics, economics and distributed computing. Chemistry / Molecular Biology. There are many.
The global structures of metamathematics , economics , linguistics and evolutionary biology seem likely to provide examples—and in each case we can expect that at the core is the ruliad, with its unique structure. Some correspond to theoretical computerscience. Still, finding such paths is what automated theorem provers do.
And what determines our experience—and the science we use to summarize it—is what characteristics we as observers have in sampling the ruliad. And these ideas build crucially on the paradigm of A New Kind of Science. But in biology (for example in connection with membranes), or in molecular computing, they may be crucial.
But what kind of integro-differential-algebraic equation can reproduce the time evolution isn’t clear. The “consensus result” in this case should be a constant function whose value is effectively the sign of the integral of this function. To do more than this requires in effect defining “directions” in the graph.
The fall of 2021 involved really leaning into the new multicomputational paradigm , among other things giving a long list of where it might apply : metamathematics, chemistry, molecular biology, evolutionary biology, neuroscience, immunology, linguistics, economics, machine learning, distributed computing.
So how about logic, or, more specifically Boolean algebra ? The axiom system we’ve used for Boolean algebra here is by no means the only possible one. And in terms of that operator the very simplest axiom system for Boolean algebra contains ( as I found in 2000 ) just one axiom (where here ? and Not ) is: ✕.
But the computer let me discover just by systematic enumeration the 2-state, 3-color machine that in 2007 was proved universal (and, yes, it’s the simplest possible universal Turing machine). In 2000 I was interested in what the simplest possible axiom system for logic (Boolean algebra) might be. So why does this work?
. “Lick” Licklider —who persuaded Ed to join BBN to “teach them about computers”. It didn’t really come to light until he was at BBN, but while at Lincoln Lab Ed had made what would eventually become his first lasting contribution to computerscience. Then McCarthy started to explain ways a computer could do algebra.
We organize all of the trending information in your field so you don't have to. Join 28,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content