One of my data science students just did a t-test to demonstrate that evil-aligned monsters in D&D 5e tend to have lower Armor Class than good-aligned monsters. This course demands a lot of effort, but moments like this make it worth it.
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Teaching R for the first time, and many students are first-time programmers. I’m reminded of teaching French in terms of how easy it is to take for granted things that aren’t obvious to beginners.
Unsatisfied with the Intro to Data Science textbook I’ve inherited. Fortunately, an earlier version is Creative Commons-licensed, as are some other fantastic resources. Guess who’s going to remix himself a new textbook for next Fall!
I know I’m going to make plenty of mistakes teaching Intro to Data Science for the first time, but one thing I’m already proud of is teaching my students to use tags to format code and output in their Canvas posts.
I have finished the article review I was a week behind on, so now I just need to tackle the two-weeks-late and six-weeks-late projects on my plate. After I get the course prep done that I was hoping to do yesterday.
Just got one of those emails that makes me very glad I gave a student flexibility no matter how inconvenient it was for end of semester. It’s helpful to remember that many students are dealing with way more important things than my class.
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