This is just a gentle reminder to everyone interested in open access materials, and in some fashion in open access education, that there is now an easy way to search the expanding offerings: [Open Courseware Search](http://www.ocwsearch.com/). As the site itself notes, the following offerings are searched:
1. School of Public Health at Johns Hopkins (institution:jhsph)
2. MIT (institution:mit)
3. Notre Dame (institution:nd)
4. The Open University UK (institution: openuniversity)
5. Universidad Politécnica de Madrid (institution:politecnicamadrid), Spanish courses
6. Stanford Engineering Everywhere (institution:stanford)
7. Delft University of Technology (institution:tudelft), English and Dutch courses
8. UMass Boston (institution:umass)
9. The University of Tokyo (institution:utokyo), both English and Japanese OCW collections
10. Yale University (institution:yale)
My own university is, I think, moving to a more open model for its course content offerings. I see this as a real opportunity to make available content I have developed to a wider audience. I think the real value of a campus environment is not exclusivity of content but the potential for interaction.
The Apple Knowledge Base has a terrific, and easy to follow, article on [how to output `ePub` files][epub] out of the iWork Pages application.
11:00: Up and down the terminal. Up and down.
11: 30: No amount of eye drops will soothe my eyes.
Midnight. I’m pacing the length of the terminal to keep myself awake.
12:30 In Terminal five, or is it six? Of LAX people move about line the notes of a complex melody. Fast and slow. Here all direction. And there none.
Heard while boarding my flight to Lafayette:
“I done had myself a day.”
The good folks at Tor have put together a list of “books, manuals, catalogs, etc. [that] are hard to find, but if you are willing to do a little extra work, there are a whole host of amazing DIY and makers texts out there not available in your corner bookstore. Some of these are catalogs; some are just obscure. All are intriguing and heartily recommended by our contributors.” Here’s the link.
Scientists spend more time in analysis than humanists. Data is just a blob from which one discerns patterns. They don’t particularly love it the way a literary scholar loves novels.
A is a renormalized Markov version of this matrix.