Frank Gehry Quotes

Even if you're going into a field that has nothing to do with computer science, just having that way of analytical thinking and being able to process information and break it down is important no matter what you're doing. Having that knowledge of code is something that you can apply to your daily life.

I've always been interested in using mathematics to make the world work better.

Calculating does not equal mathematics. It's a subsection of it. In years gone by it was the limiting factor, but computers now allow you to make the whole of mathematics more intellectual.

The science of operations, as derived from mathematics more especially, is a science of itself, and has its own abstract truth and value.

If you have an analytical bent like I do, going back to my days as a programmer, you like to ask questions.

To me, mathematics, computer science, and the arts are insanely related. They're all creative expressions.

Women are both talented and innovative thinkers and tend to use computer science as a tool to solve larger problems.

I think everyone should get a little exposure to computer science because it really forces you to think in a slightly different way, and it's a skill that you can apply in life in general, whether you end up in computer science or not.

The computers are not replacing mathematicians; they are breeding them.

Learning to write programs stretches your mind, and helps you think better, creates a way of thinking about things that I think is helpful in all domains.

A good programming language is a conceptual universe for thinking about programming.

Instruction tables will have to be made up by mathematicians with computing experience and perhaps a certain puzzle-solving ability. There need be no real danger of it ever becoming a drudge, for any processes that are quite mechanical may be turned over to the machine itself.

To me programming is more than an important practical art. It is also a gigantic undertaking in the foundations of knowledge.

I grew up as a computer scientist, and I've always been fascinated by algorithms.

We need a lot more technically literate people. The computers are the tools that are going to solve essentially all problems, and the people who can use them better will be more effective.

For me, science is just a bunch of tools - it's like playing the violin. I just enjoy calculating, and it's an instrument I know how to play. It's almost an athletic performance, in a way. I was just watching the Olympics, and that's how I feel when proving a theorem.

Much of my work has come from being lazy. I didn't like writing programs, and so, when I was working on the IBM 701 (an early computer), writing programs for computing missile trajectories, I started work on a programming system to make it easier to write programs.

I had a running compiler and nobody would touch it. They told me computers could only do arithmetic.

I will, in fact, claim that the difference between a bad programmer and a good one is whether he considers his code or his data structures more important. Bad programmers worry about the code. Good programmers worry about data structures and their relationships.

Science is not a body of facts. Science is a state of mind. It is a way of viewing the world, of facing reality square on but taking nothing on its face. It is about attacking a problem with the most manicured of claws and tearing it down into sensible, edible pieces.

Faith moves mountains, but only knowledge moves them to the right place.

People, I am actually fairly smart. Why has this not occurred to anyone? The information is all out there, if you go looking for it, and the classified stuff just comes from analyzing the unclassified stuff and connecting the dots.

The ultimate goal of mathematics is to eliminate all need for intelligent thought.

In their field they [mathematicians] do what we ought to be doing in ours. Therein lies the significant lesson ... of their existence. They are an analogy for the intellectual of the future.

The art of programming is the art of organizing complexity.