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- Eleazar Eskin
- COM SCI M184
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Standard seminar class that's required for any CASB major/minor. Show up, take some brief notes, and write a review for each talk. The review is just a summary of the talk, the most recent developments, what you didn't understand, and feedback. Some of the talks were actually really cool and prompted several students to join the researchers' labs (my favorites were Neuroimaging Informatics, AI in Medicine, and Genetic & Phenotypic Psychiatry), but expect them to change year by year. If you're already in a lab and like the research you're doing, it's pretty boring, but there's practically no workload - if you sit at the back of the lecture hall, you will see a bunch of people doing homework, solving the NYT crossword, playing snake, or chatting while taking notes lol
The slightly annoying part was trying to summarize a boring talk that didn't make any sense, since some researchers assume that undergrads have a working knowledge of a bunch of statistics and ML stuff from the stats 100 or 101 series. But, even if you have a big-picture understanding and can at least name the methods they used without explaining then you're fine. Also I kinda hate genetics and like 70% of them were about it so that was also pretty annoying.
Standard seminar class that's required for any CASB major/minor. Show up, take some brief notes, and write a review for each talk. The review is just a summary of the talk, the most recent developments, what you didn't understand, and feedback. Some of the talks were actually really cool and prompted several students to join the researchers' labs (my favorites were Neuroimaging Informatics, AI in Medicine, and Genetic & Phenotypic Psychiatry), but expect them to change year by year. If you're already in a lab and like the research you're doing, it's pretty boring, but there's practically no workload - if you sit at the back of the lecture hall, you will see a bunch of people doing homework, solving the NYT crossword, playing snake, or chatting while taking notes lol
The slightly annoying part was trying to summarize a boring talk that didn't make any sense, since some researchers assume that undergrads have a working knowledge of a bunch of statistics and ML stuff from the stats 100 or 101 series. But, even if you have a big-picture understanding and can at least name the methods they used without explaining then you're fine. Also I kinda hate genetics and like 70% of them were about it so that was also pretty annoying.
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