On-demand Learning for Better Scientific Software: How to Use Resources & Technology to Optimize your Productivity
The IDEAS Productivity project, in partnership with the DOE Computing Facilities of the ALCF, OLCF, and NERSC and the DOE Exascale Computing Project (ECP) has resumed the webinar series on Best Practices for HPC Software Developers, which we began in 2016.
As part of this series, we offer one-hour webinars on topics in scientific software development and high-performance computing, approximately once a month. Participation is free and open to the public, but registration is required for each event. The next webinar in the series was titled “On-demand Learning for Better Scientific Software: How to Use Resources & Technology to Optimize your Productivity”, and was presented by Dr. Elaine Raybourn. The webinar took place on Wednesday, May 9, 2018 at 1:00 pm ET.
Abstract:
Continual advances in new technologies for computational science often require members of the HPC community to learn new tools, techniques, or processes on-demand, or outside of a formal education setting. While the variety of media and deluge of content make on-demand learning a reality, very few learners apply guiding principles from learning science to set themselves up for success. Applying on-demand learning strategies for self-paced “learning in the wild” can augment professional learning courses from EdX, Udacity, and YouTube. Employing use cases and examples from Python and Git, this webinar will demonstrate how to develop a personalized learning framework leveraging massively open online courses (MOOC), podcasts, social media, videos, and more. A walk through of relevant learning applications will be provided. Participants of this webinar will take away practical strategies, resources, and tools that can be applied toward learning more productively in general, and specifically to software development.
