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PRODID:-//Microsoft Corporation//Outlook MIMEDIR//EN
VERSION:1.0
BEGIN:VEVENT
DTSTART:20121115T173000Z
DTEND:20121115T190000Z
LOCATION:255-A
DESCRIPTION;ENCODING=QUOTED-PRINTABLE:ABSTRACT: This tutorial provides examples of research-level, high performance computing that can be used in courses throughout the undergraduate physics curriculum. At present such examples may be found in specialty courses in Computational Physics, although those courses too often focus on programming and numerical methods. In contrast, physics classes tend to use computing as just pedagogic tools to teach physics without attempting to provide understanding of the computation. The examples presented will contain a balance of modern computational methods, programming, and interesting physics and science. The Python examples derive from an eTextBook available from the National Science Digital Library that includes video-based lectures, Python programs, applets, visualizations and animations. The Mathematica examples will focus on non-linear dynamic, quantum mechanics and visualizations. Whether using Mathematica or Python, the session looks inside the computation black box to understand the algorithms and to see how to scale them to research-level HPC.
SUMMARY:Computational Examples for Physics (and Other) Classes Featuring Python, Mathematica, an eTextBook and More
PRIORITY:3
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