I’m an engineering student (undergrad plus masters) and now starting to do a PhD in CS.
I did learn programming (AP CS) back in high school and start a coding club, but I didn’t properly learn competitive coding and the foundations like algorithms, data structure, operating system (only on leetcode)
My question is: in the AI era, what is still that you think will be so useful to understand on top of everything else?
I’m a fourth year student in the UK and about to come to the US for a PhD.
I thought it’s a probably game then the best strategy is to just increase N to improve the expectation.
Spending the time on the other works made it impossible for me to grind the paper I like the most and pay it with the time it deserves.
So very sad but life lesson learned: focus and grind a work that you like, strongly believe in, and take the effort.
In the model it’s not only number x probability, but also the fact that the probability of an individual work getting accepted most of the time does scale with more effort (not necessarily linearly though).