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Professor solves 240 computer science exam problems in 4 hours [video]

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Re: Professor solves 240 computer science exam problems in 4 hours [video]

#11
post #3

This is an awesome video and I'd love to see more content like this. I love watching experts explain how they think

I don’t see how anyone can both solve and explain their solutions in such record time. I can’t imagine there is much explaining happening.

Why guess about the content here? It’s freely available to watch, so we don’t need to speculate.

He briefly explains his reasoning for each answer.

Re: Professor solves 240 computer science exam problems in 4 hours [video]

#14
I admit that I struggled with regular languages, I didn't fail the class or anything, but as soon as I was done with it, never looked back.

I thought about doing a Turing machine in JavaScript but I never actually did it.

I wonder if people that retains all that information use it everyday, that's why they retain it. Thing I don't use in real life, like propositional logic, regular languages, automatas... I can barely remember. It's kinda sad thought, but I fill I cannot dedicate time and resources to keep this things fresh in my head.

Re: Professor solves 240 computer science exam problems in 4 hours [video]

#16
post #13

Skimming through the pages on the video, it shows vividly how far away academia is from real life problems.

The first few problems are about regular languages which are used when writing compilers and interpreters (among other things). It might not be something that very many people need in their daily work, but they are real life problems.

I'm not sure, but I think GATE is a graduate school entrance exam.

Re: Professor solves 240 computer science exam problems in 4 hours [video]

#17

I am impressed by this, however.. is this not a case of a Human training to act like a computer, and then doing it really well? There is something off about that part.

I haven't checked the questions carefully, but in general classifying the kind of language I believe is undecideable, so the video could be showing a human doing something computers in general cannot do.

Re: Professor solves 240 computer science exam problems in 4 hours [video]

#18
post #13

Skimming through the pages on the video, it shows vividly how far away academia is from real life problems.

Probably a true statement for every theoretical academic field. Yet, very mysteriously the obscure academic problems have produced our great wealth of technology. I find this fascinating.

Re: Professor solves 240 computer science exam problems in 4 hours [video]

#19
post #14

I admit that I struggled with regular languages, I didn't fail the class or anything, but as soon as I was done with it, never looked back. I thought about doing a Turing machine in JavaScript but I never actually did it. I wonder if people that retains all that information use it everyday, that's why they retain it. Thing I don't use in real life, like propositional logic, regular languages, automatas... I can barel…

this is my major complaint with interviewing "it's so easy, you just have to study it"

Re: Professor solves 240 computer science exam problems in 4 hours [video]

#20
post #14

I admit that I struggled with regular languages, I didn't fail the class or anything, but as soon as I was done with it, never looked back. I thought about doing a Turing machine in JavaScript but I never actually did it. I wonder if people that retains all that information use it everyday, that's why they retain it. Thing I don't use in real life, like propositional logic, regular languages, automatas... I can barel…

But despite not using it every day, you'd probably be able to refresh on it pretty quickly.

I've found that to be the real value for a lot of the courses I took. Sure, I don't actively remember the content or use it daily, but occasionally something reminds me of something I learned. Then, it's a quick wiki page away from me understanding and using it. Contrast that with some devs I've worked with who haven't seen such things before and end up reinventing a less elegant solution to the problem.

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