CTE Learning

OCTOBER 5, 2018

If there is something the world needs more of, it’s computer scientists. It’s a broad term, as this could mean anyone from PHP programmers to computer technicians. In order to excel in the world of computers, people need to study computer science in general. But is computer science really that hard?

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Computer Science Computer Science Sciences 40

User Generated Education

JANUARY 2, 2017

® is a non-profit dedicated to expanding access to computer science, and increasing participation by women and underrepresented minorities. Our vision is that every student in every school should have the opportunity to learn computer science, just like biology, chemistry or algebra. https://code.org/about. Makey-Makey.

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Computer Science Robotics Computer Elementary 97

Ask a Tech Teacher

OCTOBER 23, 2019

Most are about five minutes (some longer, some shorter) and cover topics like chemistry, physics, calculus, geometry, biology, Algebra, trigonometry, grammar, ACT prep, and SAT prep. Bright Science is a free YouTube channel of over 1300 study videos for high schoolers (or precocious middle schoolers). Education.com Songs.

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Education Education Earth science Government 154

Robert Talbert, Ph.D.

FEBRUARY 10, 2023

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. Yesterday I got an email from a reader who had read this post called What should math majors know about computing? Mostly this is because of two things.

Mathematics 52

Mathematics Computer Algebra Calculus 52

STEM Education Shopping

AUGUST 28, 2023

They should also explore various branches of science such as biology, chemistry, physics, and earth sciences. It includes computer programming, robotics, digital literacy, and information technology. Students should be taught mathematical concepts such as algebra, geometry, statistics, and calculus.

STEM 52

STEM OER Education Education 52

Stephen Wolfram

MARCH 5, 2024

At a very practical level, for example, LLMs provide a new kind of linguistic interface to the computational capabilities that we’ve spent so long building in the Wolfram Language. But before we get into this, we need to discuss something that looms over any attempt to “solve science”: the phenomenon of computational irreducibility.

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Science Sciences Computer Mathematics 124

Stephen Wolfram

MARCH 7, 2022

We can think of the ruliad as the entangled limit of all possible computations—or in effect a representation of all possible formal processes. Many of these consequences are incredibly complicated, and full of computational irreducibility. But now we can make a bridge to mathematics. So is something similar happening with mathematics?

Mathematics 122

Mathematics Physics Computer Algebra 122

Stephen Wolfram

JANUARY 9, 2024

And all those years we’ve been continuing to build a taller and taller tower of capabilities, progressively expanding the scope of our vision and the breadth of our computational coverage of the world: Version 1.0 In the arc of intellectual history it defines a broad, new, computational paradigm for formalizing the world.

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Computer Calculus Construction Accessibility 104

Futurum

JUNE 6, 2023

Cindy is part of a team of surgeons, biological scientists, computational scientists and medical research professionals who have come together from six different universities across the US to study the lower urinary tract and improve treatments for LUTD. How is Cindy studying LUTD?

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Research Research Biology Physics 98

Stephen Wolfram

AUGUST 22, 2023

And there was one way in which Ed and I were very much aligned: both of our lives were deeply influenced by computers and computing. Ed had started with computers in 1956—as part of one of the very first cohorts of programmers. Finally I felt as if there might be a plausible computational foundation for fundamental physics.

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Computer Physics Science Sciences 68

Stephen Wolfram

NOVEMBER 10, 2021

Think of it as the entangled limit of everything that is computationally possible: the result of following all possible computational rules in all possible ways. And as such, it traces out the entangled consequences of progressively applying all possible computational rules. The Entangled Limit of Everything. I call it the ruliad.

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Physics Mathematics Computer Construction 123

Stephen Wolfram

DECEMBER 11, 2023

Much as we have a general model for the process of computation —instantiated by something like a Turing machine —we’d like to have a general model for the process of observation: a general “observer theory”. There’s in a sense a certain duality between computation and observation. In computation one’s generating new states of a system.

Physics 122

Physics Mathematics Computer Communications 122

Stephen Wolfram

SEPTEMBER 9, 2021

But there is something else too—and it’s from this that the full computational paradigm emerges. And this is the essence of the computational paradigm: to define a model using computational rules (say, for a cellular automaton ) and then explicitly be able to run these to work out their consequences.

Science 65

Science Sciences Physics Mathematics 65

Stephen Wolfram

SEPTEMBER 9, 2021

But there is something else too—and it’s from this that the full computational paradigm emerges. And this is the essence of the computational paradigm: to define a model using computational rules (say, for a cellular automaton ) and then explicitly be able to run these to work out their consequences.

Physics 65

Physics Science Sciences Mathematics 65

Stephen Wolfram

MAY 16, 2022

My original goal in A New Kind of Science was to take a step beyond the mathematical paradigm that had defined the state of the art in science for three centuries—and to introduce a new paradigm based on computation and on the exploration of the computational universe of possible programs. But there’s more.

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Science Sciences Mathematics Physics 63

Stephen Wolfram

MAY 17, 2021

But it’s potentially much more efficient if we can use a distributed algorithm, where we’re running computations in parallel across the various nodes. In any decentralized system with computers, people, databases, measuring devices or anything else one can end up with different values or results at different “nodes”. The Background.

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Computer Achievement Mathematics Physics 52