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PRODID:-//Microsoft Corporation//Outlook MIMEDIR//EN
VERSION:1.0
BEGIN:VEVENT
DTSTART:20131119T203000Z
DTEND:20131120T000000Z
LOCATION:705/707/709/711
DESCRIPTION;ENCODING=QUOTED-PRINTABLE:ABSTRACT: Part I provides examples of research-level, high performance computing that can be used in courses throughout the undergraduate 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, disciplinary classes tend to use computing as pedagogic tools without understanding the computation. The examples contain a balance of modern computational methods, programming, and interesting physics and science. The Python examples derive from an eTextBook including video-based lectures, Python programs, applets, visualizations and animations. The Mathematica examples focus on non-linear dynamic, quantum mechanics, program optimization 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. Part II covers materials not covered in Part I including suggested HPC tools and subjects for undergraduates.
SUMMARY:Serious Computational Examples for Science Classes  Featuring Python, Mathematica, an eTextBook and More
PRIORITY:3
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