Slashdot Mirror
Domain: ipython.org
Stories and comments across the archive that link to ipython.org.
Stories · 2
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No Film At 11: the Case For the Less-Video-Is-More MOOC
theodp writes: In Why My MOOC is Not Built on Video, GWU's Lorena Barba explains why the Practical Numerical Methods with Python course she and colleagues put together has but one video: "Why didn't we have more video? The short answer is budget and time: making good-quality videos is expensive & making simple yet effective educational videos is time consuming, if not necessarily costly. #NumericalMOOC was created on-the-fly, with little budget. But here's my point: expensive, high-production-value videos are not necessary to achieve a quality learning experience." When the cost of producing an MOOC can exceed $100,000 per course, Barba suggests educators pay heed to Donald Bligh's 1971 observation that "dazzling presentations do not necessarily result in learning." So what would Barba do? "We designed the central learning experience [of #NumericalMOOC] around a set of IPython Notebooks," she explains, "and meaningful yet achievable mini-projects for students. I guarantee learning results to any student that fully engages with these!" -
Regex Golf, xkcd, and Peter Norvig
mikejuk writes "A recent xkcd strip has started some deep academic thinking. When AI expert Peter Norvig gets involved you know the algorithms are going to fly. Code Golf is a reasonably well known sport of trying to write an algorithm in the shortest possible code. Regex Golf is similar, but in general the aim is to create a regular expression that accepts the strings in one list and rejects the strings in a second list. This started Peter Norvig, the well-known computer scientist and director of research at Google, thinking about the problem. Is it possible to write a program that would create a regular expression to solve the xkcd problem? The result is an NP hard problem that needs AI-like techniques to get an approximate answer. To find out more, read the complete description, including Python code, on Peter Norvig's blog. It ends with this challenge: 'I hope you found this interesting, and perhaps you can find ways to improve my algorithm, or more interesting lists to apply it to. I found it was fun to play with, and I hope this page gives you an idea of how to address problems like this.'"