<br><br><div class="gmail_quote">---------- Forwarded message ----------<br>From: <b class="gmail_sendername">Nathan Moore</b> <<a href="mailto:ntmoore@gmail.com">ntmoore@gmail.com</a>><br>Date: Nov 20, 2007 2:22 PM<br>
Subject: Re: [Beowulf] Teaching Scientific Computation (looking for the perfect text)<br>To: Michael Jinks <<a href="mailto:mjinks@uchicago.edu">mjinks@uchicago.edu</a>><br><br><br>Hi Michael,<br><br>I encourage you to find a copy of "Classical Fortran" (M. Kupferschmid, ISBN 0-8247-0802-4) and read the first chapter. The clarity of purpose in this book, "simply using computers to do scientific work", is actually what convince me to initially adopt F77 as a teaching language.
<br><font color="#888888"><br>Nathan</font><div><div></div><div class="Wj3C7c"><br><br><div class="gmail_quote">On Nov 20, 2007 1:24 PM, Michael Jinks <<a href="mailto:mjinks@uchicago.edu" target="_blank">mjinks@uchicago.edu
</a>> wrote:<br><blockquote class="gmail_quote" style="border-left: 1px solid rgb(204, 204, 204); margin: 0pt 0pt 0pt 0.8ex; padding-left: 1ex;">
<div>On Tue, Nov 20, 2007 at 12:33:43PM -0600, Nathan Moore wrote:<br>> I regularly teach a college course in a physics department that deals with<br>> scientific computation. After students take the course, I expect that
<br>> they'll be able to write simple "c-tran" style programs for data analysis,<br>> write basic MD or MC simulations, and be fairly fluent in Mathematica.<br></div><snip><br><br>I have a related (I hope) question.
<br><br>I don't teach a course, but some colleagues and I are in the position<br>of "computation ambassador" to a range of researchers (faculty, grad,<br>and undergrad). Our semi-imaginary "classic case" is a professor in the
<br>humanities who might have an abstract sense that large-scale computation<br>could aid their research, but no idea how to actually apply the<br>available technology. In the worst case, this person regards anything<br>
with a command line as terra incognita, and will require some serious<br>hand holding early on.<br><br>We can provide the hand holding, and we know a fair amount about<br>computers, clusters, what's (im)possible, but none of us have a deep
<br>technical background in the "research" part of research computing, so<br>we've spent a lot of time lately asking ourselves how to bridge the gap.<br><br>So I hope I'm not hijacking the thread, but beyond issuing a "me too" to
<br>Nathan's textbook question I'd also like to know if anybody has some<br>general tips on how to get started, a sort of "adult primer" on research<br>computing which we could benefit from ourselves as well as passing along
<br>to the curious.<br><br>Thanks,<br><font color="#888888">-j<br></font><div><div></div><div>_______________________________________________<br>Beowulf mailing list, <a href="mailto:Beowulf@beowulf.org" target="_blank">
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</div><br><br clear="all"><br></div></div><div><div></div><div class="Wj3C7c">-- <br>- - - - - - - - - - - - - - - - - - - - - <br>Nathan Moore<br>Assistant Professor, Physics<br>Winona State University<br>AIM: nmoorewsu
<br>- - - - - - - - - - - - - - - - - - - - -
</div></div></div><br><br clear="all"><br>-- <br>- - - - - - - - - - - - - - - - - - - - - <br>Nathan Moore<br>Assistant Professor, Physics<br>Winona State University<br>AIM: nmoorewsu <br>- - - - - - - - - - - - - - - - - - - - -
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