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One of the reasons I dropped out was also that the people there were out of touch how things worked "in the real world". It was just the same curriculum as it had always been (minus the things that were cut to appeal to more students who otherwise couldn't cut the mustard).

I was legitimately afraid that I would waste my time on things that would largely be irrelevant outside academia in the sense that I had to factor in a couple of years to learn how you realistically work and create something of value.

Algorithms are such a goddamn exciting subject, and it's a shame when someone manages to make it boring or unintelligible. I'd love to have studied CS at a good American university, but with visa rules and the slim chances of admission to a good college, I guess I have to find my own way - even though getting a work visa is probably going to be semi-impossible.

So it goes.



It's worse. The joke "MongoDB is web-scale" reminds me of this growing cargo-cult full of cocky CS graduates.

Edit: thanks for the anonymous downvotes validating my point; dissent must be suppressed.


I'm guessing CS dropouts are just as vocal in support of the nosql of the moment.


Let's assume for a moment the majority of nosql supporters are CS dropouts. That doesn't say the majority of CS dropouts are supporters of nosql. You are falling for the base rate fallacy. That's exactly the kind of highly relevant concepts I've never seen taught for CS. Thanks.

While we are at it, probability theory should have a much stronger emphasis than calculus for CS. It's only seen on graduate CS on most universities. In my uni, we had 2.5 years of calculus and a miserable .5yr stats/probability course, wich was mostly stats and it was one of the less emphasized subjects. Why is it like that? I bet because engineering (and mainstream math) focus is somewhere else.


Do explain how and why so many CS graduates hold on to cargo-cult notions?


whats the definition of web-scale?


It's a vague term, my guess is they mean datasets like Google's.




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