On Sunday morning I came across a tweet by NPR’s Lulu Garcia-Navarro morning asking people when they knew things were going to be different due to COVID. Whenever I read replies to a tweet like this I’m always tempted to scrape all the replies and take a look at the data to see if anything interesting emerges.
Over the past few years I’ve been working on moving from a mindset of end-of-semester project to semester-long project. Inevitably students end up doing lots of work as the deadline approaches at the end of the semester (and I can’t blame them, that’s how I work around deadlines too, and how just about anyone I know works), but creating opportunities for them to get started on their projects earlier in the semester is very important.
This post was contributed by Lee Suddaby and Zeno Kujawa, second year students at the University of Edinburgh majoring in Mathematics and Data Science, respectively.
Over the university summer break, we (Zeno and Lee) were busy making preparations for moving more of our Introduction to Data Science course from being human-graded to computer-graded. We both took this course in the Fall of 2019, as part of our first-year studies at the University of Edinburgh, and this is where we first learned R.
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