<html xmlns:v="urn:schemas-microsoft-com:vml" xmlns:o="urn:schemas-microsoft-com:office:office" xmlns:w="urn:schemas-microsoft-com:office:word" xmlns:m="http://schemas.microsoft.com/office/2004/12/omml" xmlns="http://www.w3.org/TR/REC-html40"><head><META HTTP-EQUIV="Content-Type" CONTENT="text/html; charset=us-ascii"><meta name=Generator content="Microsoft Word 15 (filtered medium)"><style><!--
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</o:shapelayout></xml><![endif]--></head><body lang=EN-US link="#0563C1" vlink="#954F72"><div class=WordSection1><p class=MsoNormal><span style='font-size:11.0pt;font-family:"Calibri",sans-serif;color:#1F497D'>FYI, Prof. George Legrady in Media Arts and Technology is teaching a project-oriented course on data visualization in the winter, and interested CS students are welcome. Please see the attached info and contact George if you have any questions.<o:p></o:p></span></p><p class=MsoNormal><span style='font-size:11.0pt;font-family:"Calibri",sans-serif;color:#1F497D'><o:p> </o:p></span></p><p class=MsoNormal><span style='font-size:11.0pt;font-family:"Calibri",sans-serif;color:#1F497D'> Matthew<o:p></o:p></span></p><p class=MsoNormal><span style='font-size:11.0pt;font-family:"Calibri",sans-serif;color:#1F497D'><o:p> </o:p></span></p><div><div style='border:none;border-top:solid #E1E1E1 1.0pt;padding:3.0pt 0in 0in 0in'><p class=MsoNormal><b><span style='font-size:11.0pt;font-family:"Calibri",sans-serif'>From:</span></b><span style='font-size:11.0pt;font-family:"Calibri",sans-serif'> George Legrady [mailto:legrady@mat.ucsb.edu] <br><b>Sent:</b> Monday, November 3, 2014 11:50 PM<br><b>To:</b> George Legrady; Matthew Turk; Tobias Hollerer<br><b>Subject:</b> M259 Data Vis course Winter 2014 Tues-Thurs 2-4pm<o:p></o:p></span></p></div></div><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>Dear Tobias and Matthew, <o:p></o:p></p><div><p class=MsoNormal><o:p> </o:p></p></div><div><p class=MsoNormal>Every winter I teach a production course in data visualization. Students realize 4-5 projects with the same dataset (currently at around 75million). Their job is to engage in "knowledge discovery" and then to translate the results into a meaningful visualization. In ten weeks we cover a lot: <o:p></o:p></p></div><div><p class=MsoNormal><o:p> </o:p></p></div><div><div><p class=MsoNormal>1) how to identify and retrieve significant data from a dataset with MySQL <o:p></o:p></p></div><div><p class=MsoNormal>2) Develop skills in the fundamentals of visual language through programming <o:p></o:p></p></div><div><p class=MsoNormal>3) Visualize abstract data to reveal patterns and relationships <o:p></o:p></p></div><div><p class=MsoNormal>4) Normalize data to enhance legibility and coherence <o:p></o:p></p></div><div><p class=MsoNormal>5) Implement interactivity within 3D volumetric visualization<o:p></o:p></p></div><div><p class=MsoNormal><o:p> </o:p></p></div><div><p class=MsoNormal>I am always interested in having students from a diverse range of disciplines take this course as it creates interesting interactions. <o:p></o:p></p></div><div><p class=MsoNormal><o:p> </o:p></p></div><div><p class=MsoNormal>Please circulate the attached course description to your colleagues and students. <o:p></o:p></p></div><div><p class=MsoNormal><o:p> </o:p></p></div><div><p class=MsoNormal>Very best, <o:p></o:p></p></div><div><p class=MsoNormal><o:p> </o:p></p></div><div><p class=MsoNormal>George<o:p></o:p></p></div><div><p class=MsoNormal><o:p> </o:p></p></div></div></div></body></html>