Computing Education Research Blog

NOVEMBER 26, 2021

My activities in computing education these days are organized around two main projects: Defining computing education for undergraduates in the University of Michigan’s College of Literature, Science, and Arts (see earlier blog post referencing this effort ); Participatory design of Teaspoon languages (mentioned most recently in this blog post ).

Computer Science 140

Computer Science Computer Science Sciences 140

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

Stephen Wolfram

SEPTEMBER 29, 2023

But some of it has immediate practical implications, notably for parallel, distributed, nondeterministic and quantum-style computing. The key point is that a given event cannot happen unless all the inputs to it are available, i.e. have already been computed. Some of what this will lead us to is deeply abstract.

Physics 108

Physics Computer Argumentation Construction 108

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

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 64

Science Sciences Physics Mathematics 64

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 120

Mathematics Physics Computer Algebra 120

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.

Computer 68

Computer Physics Science Sciences 68