cubecul

Stuff like this probably isn't the most common, but I'd love to start digging around topics like storage, networking, security, etc. enough to understand why the work of the startups in the space is important.

Are there any recommended readings, sites, books, communities that are recommended?

As someone with a CS education but little interest / background in code, I'm interested in helping open source projects organize their nasty issue landscapes and improve the user friendliness of their docs.

I also think there are more than a few people on HN looking to contribute to open source but wanting to start small instead of diving in with PRs.

Do you have a project that needs issue triage or docs support?

I'm coming from a social science background. I've taken a C++ course, data structures, discrete math and intro to systems programming. I would love some advice on how to think about how best to plan my MS in CS.

The requirements are loose: 12 courses in 1 year, generally no restrictions. I have been thinking of primarily two ways to go about this. The first is to just do a well-rounded CS education, pursuing this article[1]. The second is to spend nearly all the courses in cognitive systems. In this case, when the course schedule doesn't provide much in the area, I would propose an independent reading modeled after a course from a stronger school (probably Stanford).

If I'm not interested in pursuing more school after this, does it matter what route I take? Is this actually a useful question to ask? If so, what do I lose/gain by going one way or another?

[1] http://matt.might.net/articles/what-cs-majors-should-know/