197 karma · joined April 1, 2020
I am curious to know approximately how many hours the courses take, and if you can share anything about which future courses you have in the works?
Yeah, my ug friend group was similar. It’s completely valid to have different preferences in what one wants out of life. However, I personally did feel much happier / interested later on in life being in friendgroups where everyone had some kind of serious career aspiration.
As someone who went to a flagship state school for undergrad and ivy for phd…
A) Most of the people I know who turned down higher-ranked schools for lower-ranked ones because of money regret it. You will make a lot of life-long friends in college, and you will just be exposed to a different caliber of person on average at mit. Random people you meet through friends of friends at brunches or happy hours will be weirdly accomplished and teach you things.
B) Your analysis seems to hinge on doing a phd at a top-n school. What if it turns out after a few years of college that you don’t want to do a phd after all? Then instead of being either mit phd, or mit bs, you are z school bs. This may not be terrible, but not optimal.
D) On the other hand, I think the differences in career outcomes on average are small, although I wouldn’t be surprised if the probability of starting a company with any given level of success x is 10 times higher for mit alum than Z school alums. Anyway, median mit cs alum has some faang-y job throughout their careers, and these companies all know/understand that many top students can’t all afford top colleges, and so they recruit from state schools as well. So the tail outcomes can be quite different, mean/median isn’t that much.
E) For careers like management consulting or investment banking, some top firms only recruit at top-n schools. However, eg mckinsey even does on-campus recruiting at places like ut austin or georgia tech now, so then it doesn’t matter. You just need yo be at an on-campus recruitment target school.
In my opinion, the lifetime of friends and network effects is most of the benefit, and not to be underestimated. You only live once.
Patch clamp recording: you are literally sticking a needle into a single neuron and measuring it’s activity
EEG/MEG: using electrodes to measure activations of many thousands or millions of cells
Could you give an example? I would be curious to better understand python’s limitations.