This is not a job add but a description of a tutorial to be offered at the American Physical Society for the use of Computation in Undergraduate Curriculum that mentions tools like Jupyter Notebook.
>From this link https://www.aps.org/meetings/march/events/tutorials.cfm#t1 Tutorial #6: Computation in the undergraduate curriculum The Partnership for Integration of Computation into Undergraduate Physics (PICUP) seeks to expand the role of computation in the undergraduate physics curriculum. Its projects facilitate the integration of computation by helping faculty transform their own course materials. In this tutorial we will discuss the importance of integrating computation into the physics curriculum and guide participants in discussing and planning how they would integrate computation into their courses. The PICUP partnership has developed materials for a variety of physics courses in a variety of platforms including C/C++, Fortran, Python/Jupyter Notebooks, Octave/MATLAB, and Mathematica. Participants will receive information on the computational materials that have been developed, ways to tailor the materials to their own classes, and available faculty opportunities and support through the PICUP partnership. Please bring a laptop computer with the software of your choice. *Topics* - The PICUP framework for integrating computation - Discussion of ways of integrating computation, along with benefits and challenges of integrating computation - Showcase of available materials <http://www.gopicup.org/>, including time to explore and try those materials *Instructors* - Danny Caballero , Michigan State University - Norman Chonacky , Yale University - Larry P. Engelhardt , Francis Marion University - Robert Hilborn , American Association of Physics Teachers - Marie Lopez del Puerto , University of St. Thomas - Kelly Roos , Bradley University On Wednesday, February 22, 2017 at 4:05:42 AM UTC-8, Tony Hirst wrote: > > Chatting to the head of a public sector library research team yesterday, > trying to extol the benefits of things like Jupyter notebooks for > *transparent* reproducible research, he asked what a job ad would look like > to attract someone with the skills needed to make use of the notebooks to > support that sort of activity... > > ...and I was a bit flummoxed as to what to suggest. > > Looking around at educational initiatives, it seems as likely, if not more > likely, that undergrads will gain experience of notebooks from an > engineering degree or science degree than students in a computing/compsci > degree. That is, stuents who use programming in order to do something else, > rather than who code because they're a developer. > > So recruiting for experience in "python programming" may completely miss > the point? Perhaps more useful to say "experience in using, or a willingess > to learn, the pandas library for python in a reproducible research > environment such as Jupyter". > > Does anyone have examples of job ads (particularly from outside the > scientific computing domain) where the aim was to recruit folk in to get > them using Jupyter (or RStudio/Rmd etc) to help start an internal cultural > shift to using these tools more widely in a group perhaps dominated by > longstanding (and expert) Excel usage? > > --tony > -- You received this message because you are subscribed to the Google Groups "Project Jupyter" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. To post to this group, send email to [email protected]. To view this discussion on the web visit https://groups.google.com/d/msgid/jupyter/43bfa103-f7a4-4847-8866-01d3a51ad43f%40googlegroups.com. For more options, visit https://groups.google.com/d/optout.
