Personal Open Source MBA

03/17/2008 – Updated

Lately, as a strategist and systems architect, I’ve been researching the nexi and paradoxes in the areas of distance education, Work Over IP, open source|standards in healthcare and medical banking, and mba education. All the relevant hiring firms rhetorize that they value these kinds of insights. So it’s off to the Open Source Institute of Technology ( OSIT ).

Some of the current buzzword-informed curricula will probably include: cloud|grid|system of systems computing, SOA, MDA, Business Intelligence, Global Finance 2.0, Open Source Venture Funding, open community building, SWOT analysis, market growth matrix, five/six forces model, others ( categories will be added as I become interested — possibly from Curriki, DSpace, Wikipedia, Wikinomics, etc. ).

My "leveling courses" have been informed by these ( mainly audio ) works. Of course, I’ll be blogging my thesis. If you’d like to suggest helpful courses ( which the market appreciates { and this can be empirically demonstrated } ) please let me know.

Course One: SOA ( 09/05/2007 )

Based on primarily "SOA: Principles of Service Design" by Thomas Erl. Thomas was kind enough to forward a hard copy for a review on Conmergence Blog. Among other duties, he’s the Series Editor of the Prentice Hall Service-Oriented Computing Series. I can tell you know I’m inclined to finish the complete series from my initial skim of SOA: PoSD. The book is also available via Safari. Stay tuned for actual insights. Index here.

Course Two: Obsoledge ( 09/10/2007 )

Based primarily on the Tofflers’ "Revolutionary Wealth" I’m especially filtering in terms of how these insights can predict the affects of the open source, global co-opetition model on the legacy packaged software and professional services industries ( yep, specifically in the healthcare realm, both administrative and clinical ).

Course Three: Behavioralytics ( 03/17/2008 )

Explorations into the interactions of web analytics (awstats, google analytics, webtrends, etc.), statistics (R for now), and interactive financial reporting (xbrl). Standardized data standards allows for "interoperancy" thru the full product|service cycle.