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166 points levlaz | 2 comments | | HN request time: 0s | source
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ykonstant ◴[] No.41877090[source]
This is a great article and I especially liked the notion:

>Theoretical physics is highly mathematical, but it aims to explain and predict the real world. Theories that fail at this “explain/predict” task would ultimately be discarded. Analogously, I’d argue that the role of TCS is to explain/predict real-life computing.

as well as the emphasis on the difference between TCS in Europe and the US. I remember from the University of Crete that the professors all spent serious time in the labs coding and testing. Topics like Human-Computer Interaction, Operating Systems Research and lots of Hardware (VLSI etc) were core parts of the theoretical Computer Science research areas. This is why no UoC graduate could graduate without knowledge both in Algorithms and PL theory, for instance, AND circuit design (my experience is from 2002-2007).

I strongly believe that this breadth of concepts is essential to Computer Science, and the narrower emphasis of many US departments (not all) harms both the intellectual foundations and practical employment prospects of the graduate. [I will not debate this point online; I'll be happy to engage in hours long discussion in person]

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ninetyninenine ◴[] No.41877761[source]
> Theoretical physics is highly mathematical, but it aims to explain and predict the real world. Theories that fail at this “explain/predict” task would ultimately be discarded. Analogously, I’d argue that the role of TCS is to explain/predict real-life computing.

No this guy doesn’t get it. He doesn’t understand what science is.

In science nothing can be proven. If I say all swans are white as my hypothesis this statement can never be proven because I can never actually verify that I observed all swans. There may be some swan hidden on earth or in the universe that I haven’t seen. Since the universe is infinite in size I can never confirm ever that I’ve observed all swans.

However if I observe one black swan it means I falsified the entire hypothesis. Thus in science and in reality as we know it nothing can be proven… things can only be falsified.

Math on the other hand is different. Math is all about a made up universe where axioms are known absolutely. It has nothing to do with observation or evidence in the same way science does. Math is an imaginary game we play and in this game it is possible to prove things.

This proof is the domain of mathematics… not science. Physics is a science because it involves gathering evidence and attempting to falsify the hypothesis.

Einstein said it best: “No amount of experimentation can ever prove me right; a single experiment can prove me wrong”

Basically newtons laws of motion are a perfect example of falsification via experimentation with relativity later being confirmed as the more accurate theory that matches more with observation.

So what’s the deal with computer science?

First of all the term already hits the first nomenclature issue. Computer science is ironically not a science. It lives in the same axiomatic based world as mathematics and therefore things can be proven in computer science but not in science itself.

So this nomenclature issue is what’s confusing everyone. The op failed to identify that computer science isn’t actually a freaking science. Physics is a science but computer science isn’t.

So what is computer science? Sorry to say but it’s a math. I mean it’s all axioms and theorems. It’s technically math.

CS is a math in the same way algebra and geometry is math. Physics is a science and it is not a math. It’s a totally orthogonal comparison.

Your job as programmers is more like applied math. It’s completely orthogonal to the whole topic but People often get this mixed up. They start thinking that because programming is applied computer science then computer science itself is not a math.

Applied math ironically isn’t really math in the same way writing isn’t a pencil. Yes you use a pencil to write but they are not the same. Same thing with computer science and programming.

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BoiledCabbage ◴[] No.41880480[source]
> No this guy doesn’t get it. He doesn’t understand what science is.

> In science nothing can be proven.

Who are you referring to? Nobody has mentioned anything about proven. Your entire comment is focused on arguing against science being proofs, but nobody has said science is proofs.

OP said that scientific theories should "explain and predict" which they should. Those that don't should be discarded eventually (which they should). Why are your discussing mathematical proofs of science when nobody brought it up nor proposed that?

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ninetyninenine ◴[] No.41880714[source]
Im demarcating what science is and what math is.

    - In science nothing can be proven.
    - In math things can be proven. 
From those two points above we know this:

    - computer science is not a science because you can prove things
    - computer science is a kind of math because you can prove things 

This goes fully against the ops main point that computer science isn’t math when it is. There’s a big nomenclature issue that confuses everyone, him and you, and it just throws everyone off in terms of clear categorical thinking. Namely, Computer science is not actually a science.

You guys don’t understand what math is and you don’t understand what science is and thus you guys are classifying incorrectly that computer science isn’t a math and they are making a completely invalid comparison with physics which is actually a science.

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1. Koshkin ◴[] No.41884040[source]
> - In math things can be proven.

Some things can, some cannot (be either proven or shown to be false).

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2. ninetyninenine ◴[] No.41884119[source]
Right so I never said anything to the contrary. In fact, ironically, it's been proven that in Math there are statements that are true, but can never be proven to be true. See Godel.