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These two things interest me and are possibly related and valuable to my major. Assuming this is still around and we're all still alive later in my schooling, I'll possibly consider doing this.
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AI, Robotics & Cognitive Computing and
Biotechnology and Bioinformatics are their courses that interest me most.
At this stage, their courses that seem to have a very wide scope (such as
Networks & Computing Systems) are probably intended to be useful for graduate students, PhDs and researchers who has already covered a lot of ground in other, semi-related field(s). However, I don't really see why anyone would want to spend $25,000 on a nine-week crash course in such a subject.
Imagine that you're going to attend an introduction class in networks & computing systems at a "regular" university. You get to choose between a regular university lecturer and a nobel laureate as your teacher for the class. The nobel laureate may seem like a better choice at first, but his or her teaching methodology may be worse than that of the regular lecturer (the latter, after all, spends a lot of time honing his or her teaching skills).
If you haven't already specialized in said field (which arguably cannot be done due to the topical expanse of "Networks & Computing Systems"), there will be a lot of new concepts to absorb. Thus, the progression from the initial encounter of the concepts in question to useful application of the assimilated knowledge is expected to take a significant amount of time, no matter how good your teacher is. Thus, at a tuition ratio of 25:1, the choice of whether to attend a regular university class or a course at the singularity university is not a difficult one.
(Emphasis: My aforementioned critique is only aimed at generalist courses. Their specialized courses appear very promising.)
"Stephen Wolfram is the creator of Mathematica and is widely regarded as the most important innovator in scientific and technical computing today." - Stephen Wolfram
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