Browsing All Posts published on »April, 2011«

Episode 10: How to Improve Technical Education

April 28, 2011 by


Listen to the podcast On episode 10, we discuss how to improve technical education. Panelists address questions including: Why is there such a divide between what is being taught and what should be taught? How can we educate instructors and professors on best practices of education? What online resources can be utilized to help instructors […]

Episode 10 recorded!

April 27, 2011 by


We have successfully recorded Episode 10: How to improve technical education. We will edit and post tomorrow!

Episode 9: Open Source Hardware Definition

April 23, 2011 by


Listen to the podcast On episode 9, we discus the very new Open Source Hardware Defintion 1.0, the Do-It-Yourself (DIY) movement, and how a definition is different than a license. As you’ll soon learn, the hardware world sufficently different from software such that it requires a distinct stragery. Still, the success and failures of open […]

T+3 & New Developments

April 19, 2011 by


Hello All, Due to scheduling conflicts, this week’s episode recording will be pushed back to Friday and hopefully we will have it out the same day. I am sorry about the tardiness of these past two episodes.  Please understand that we are going through some growing pains right now as we try to expand our […]

Episode 8: What skills and knowledge do computational scientists need to learn?

April 17, 2011 by


Listen to the podcast On episode 8, we discuss scientific computing in education for those outside of the Computer Science department! In particular, we muse on the technical skills needed to effectively do research. Apologies for the late post– we flattened some kinks so it should be quicker delivery next time. On today’s show our […]

Episode 7: Perl Data Language

April 6, 2011 by


Listen to the podcast On episode 7, we go straight to the source in our discussion of the Perl Data Language, or PDL for short. PDL is a library for Perl that is similar in size, scope, and purpose to NumPy, Matlab, or IDL. So come with us and learn that there is truly more […]


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