Sunday, April 27, 2014

Courses I wish I'd taken

There are only so many hours a week one can devote to learning. Especially when one has a full-time job (indeed, one where official work-hours laws are something of a joke) and a family. So while I am quite involved in my MOOCing up − I do not own a television, I only watch Game of Thrones every week, and I've all but stopped reading fiction − I can't take all the courses that take my fancy; I make choices. And sometimes, in retrospect, they're not the best. So, here's a quick list of courses I didn't take, but wish I had:
  • Stat2.2x: Introduction to Statistics: Probability I did take Stat2.1x and did sort of enjoy it. I mean, while I did study statistics in school many years ago, it had always been the fifth wheel of the horse-carriage (as the − French − saying goes), meaning that in the French prepa-engineering school system, stats have always been underemphasized when compared to, say, algebra or calculus. So it's the mathematical field I'm the least familiar with, although I've grown convinced it's by far the most important one to know if one wants to make sense of the world. So the UC Berkeley course was a welcome refresher (and Prof. Adhikari has a very nice conversational tone). Yet, I don't necessarily want to become a statistics expert, so stopping at Descriptive Statistics sounded like a good idea; besides I was gearing up for Mount Sinai's Introduction to Systems Biology, which promised to be very intensive, and Harvard's Data Analysis for Genomics. As it happens, I dropped from both, and it may have been wiser to stick to the Stats curriculum.
    Actually, I just checked: I've still got time to take the course. I'm two weeks late in a 5-week course and having missed one homework and the midterm it's going to be slightly more difficult to get a certificate, but still; if my experience with Stat2.1x applies here, I can probably speed through the first three weeks. Registered.
  • China − all six parts, from Harvard. It's now well-established that for most of history, the world has been dominated by China. The recent era of European predominance is only a parenthesis that's closing as I am typing these words; yet I hardly know anything about China, its culture and history. Maybe it's a good idea to get some perspective. That's the kind of courses I view as "background culture" more than something directly useful, much in the same way as the Economics course I took from Caltech; these tend to take a backseat. That's rather unfortunate.
  • 14.73x The Challenges of Poverty from MIT. Sort of the same thing; also, Esther Duflo and Abhijit Banerjee are very-well-regarded figures in the economics blogosphere (that I follow more or less closely). I am quite convinced that world inequality is − well − indecent and, rationally speaking, completely inefficient; and I am certain that Duflo and Banerjee have some very interesting insights to give on that subject. Yet I somehow missed that February course.
  • Functional Programming Principles in Scala from EPFL. Besides the fact that I've driven through Lausanne a number of times and therefore consider it as part of my backyard, Scala is a language that's gotten a lot of traction recently, and that I've been meaning to look into sometime − and who can talk about it better than the creator of Scala? Sadly, my schedule is already overfull in April/May and so, it will be another time.
Of course, I may still take the courses out of schedule. But I am weak, and need the momentum from schedules, homework, finals, etc. to get going.

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