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[theory-seminar] topics class suggestions
moses at cs.stanford.edu
Sun Mar 13 16:28:34 PDT 2022
Hello theory and ML folks,
I plan to teach a topics class next year and I wanted to get some input on
what sorts of topics courses students might be interested in. I can't
promise I will offer exactly what you want, but this will certainly
influence my thinking, so it will be helpful to get some sense of student
interest. I have a couple of weeks to converge on a topic.
For a class to be viable, we need at least 8 students to register for it
and do the work.
For a topics class, this could involve some combination of reading papers
and writing a report/making a presentation, possibly doing a small number
of homework problems and scribing notes -- less work if you are taking
the class CR/NC. I hope there will be more than the bare minimum of 8
students -- it is a lot more fun to teach a class when there are more
people in the room (up to a limit of course -- I will have my fair share of
very large classes next year as well).
To contribute your suggestions, please use this shared doc:
Feel free to invent your own conventions to support previous suggestions
(it will be helpful to get a sense for how many students would be willing
to actually register for such a class).
FYI, I did a similar poll with the theory students back in 2018 and these
are some of the suggestions that came from there:
Here is what the StatsML students came up with back then:
I look forward to your feedback.
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