Formal logic is mathematics, and there are philosophers like Wittgenstein that are very mathematical, but what they’re really doing is mathematics – it’s not talking about things that have affected computer science; it’s mathematical logic.
I always knew I wanted to be a technologist, so I went to Duke and got a degree in computer science and electrical engineering. Really, I thought my goal in life was to be an inventor, a problem solver, so I thought I needed a Ph.D. to be good at inventions, but it turns out that you don’t.
Learn computer science. It’s extraordinarily helpful. I like recommending learning economics as well so they think in terms of business, they have rational frameworks for looking at the world, but yeah, computer science is an amazing way to get into, even if you want to be CEO, having a tech background is helpful.
We need to have making, including computer science, shop, etc. as part of the core curriculum from the beginning, not just an optional afterschool thing. Things like First Robotics and all of those great programs need to become mainstream.
Some people are happy to work in a particular domain or some field of computer science for years, and years. I personally like to kind of move around every few years, just to learn about new areas.
Computer science is one of the worst things that ever happened to either computers or to science.
Computer science is no more about computers than astronomy is about telescopes.
When people think about computer science, they imagine people with pocket protectors and thick glasses who code all night.
I moved to MIT from Stanford in 1984 to teach, and became the founding director of MIT’s Computer Science and Artificial Intelligence Lab.
It should be mandatory that you understand computer science.
I like to think of it as this new field. Instead of computer science, it’s going to be virtual science.
I’ve always felt that the human-centered approach to computer science leads to more interesting, more exotic, more wild, and more heroic adventures than the machine-supremacy approach, where information is the highest goal.
My background is in tech. I studied computer science, and was working on TechTV, so the first thing I wanted to do was see my favorite motherboard stories hit the front page; you know, like, really geeky stuff.
I studied computer science and graphic design, yeah, so music was self-taught and a backburner thing, an obsessive hobby.
It should be mandatory that you understand computer science.
My background was computer science and business school, so eventually I worked my way up where I was running product groups – development, testing, marketing, user education.
In much of computer science, I can easily ‘auto-grade’ your work and give you an instant meaningful feedback. I can’t do this when it comes to the subtlety of human thought, language, poetry, philosophy.
Computer Science is embarrassed by the computer.
When I was a graduate student in computer science in the early 2000s, computers were barely able to detect sharp edges in photographs, let alone recognize something as loosely defined as a human face.
This is a global fight to get the right people in the right place and we’re talking about people with PhDs in engineering, computer science, mathematics.
Part of what made the Macintosh great was that the people working on it were musicians, poets, and artists, and zoologists, and historians. They also happened to be the best computer scientists in the world. But if it hadn’t been computer science, these people would have been doing amazing things in other fields.
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