{"id":421,"date":"2015-09-01T17:39:12","date_gmt":"2015-09-01T17:39:12","guid":{"rendered":"http:\/\/arlduc.org\/senseandscale\/?p=421"},"modified":"2015-10-28T13:30:31","modified_gmt":"2015-10-28T17:30:31","slug":"nyu-data-vis-class-description-and-syllabus","status":"publish","type":"post","link":"https:\/\/arlduc.org\/senseandscale\/?p=421","title":{"rendered":"NYU Data Vis: Class Description and Syllabus"},"content":{"rendered":"<h1 class=\"p1\"><span class=\"s1\"><b>Data Visualization from 2D to 4D<br \/>\n<\/b><\/span><span class=\"s1\"><b>[Screen Graphics to Physical Objects]<\/b><\/span><\/h1>\n<h1 class=\"p3\"><\/h1>\n<p class=\"p3\"><span class=\"s1\">DM-GY 9103, Fall 2015<br \/>\n<\/span><span class=\"s1\">Prof. Arlene Ducao, arlduc [at] nyu.edu<br \/>\n<\/span><span class=\"s1\">Thursdays, 6:30-9:20 PM<br \/>\n2 Metrotech, Room 811<\/span><\/p>\n<h2 class=\"p3\"><span class=\"s1\"><br \/>\n<\/span><span class=\"s1\">Overview<\/span><\/h2>\n<p class=\"p3\"><span class=\"s1\">What is data visualization? Why and how do we do it? This course will take you through the process of understanding data visualization role&#8217;s in our information landscape, evaluating the kind of data that is best for visualization, and implementing the techniques used to create 2D, 3D, and 4D visualizations. Prerequisites: a basic understanding of HTML, CSS, and one scripting language, i.e. Javascript.<\/span><\/p>\n<h2 class=\"p5\"><span class=\"s1\">Learning Goals<\/span><\/h2>\n<ul>\n<li class=\"p3\"><span class=\"s1\">To understand the history, functionality, and anatomy of data visualization. <\/span><\/li>\n<li class=\"p3\"><span class=\"s1\">To classify data and information visualization based on temporal, spatial, tangible, and contextual criteria. <\/span><\/li>\n<li class=\"p3\"><span class=\"s1\">To choose and apply the appropriate tools for developing a wide array of basic data visualizations. <\/span><\/li>\n<li class=\"p3\"><span class=\"s1\">To plan and execute a complex data visualization project based on audience-centric design principles including significance, relevance, and usability. <\/span><\/li>\n<\/ul>\n<h2 class=\"p5\"><span class=\"s1\">Class Format<\/span><\/h2>\n<ul>\n<li class=\"p3\"><span class=\"s1\">First part (60-90 minutes): Lecture, discussion, critique.<\/span><\/li>\n<li class=\"p3\"><span class=\"s1\">Second part (90-110 minutes): Hands-on building &amp; testing. Early sessions will offer technical how-tos and labs, later sessions will offer open work time for your projects. <\/span><\/li>\n<\/ul>\n<h2 class=\"p5\"><span class=\"s1\">Schedule<br \/>\n<\/span><i><\/i><\/h2>\n<h3 class=\"p5\"><span class=\"s1\"><i>Note: Guest lecturers and critics are subject to change.<\/i><\/span><\/h3>\n<ul>\n<li class=\"p3\"><span class=\"s1\">Class 1: September 3<\/span>\n<ul>\n<li class=\"p3\"><span class=\"s1\">Lecture: A Brief History of Data Visualization.<\/span><\/li>\n<li class=\"p3\"><span class=\"s1\">Activity: Introductions and Group Exercise.<\/span><\/li>\n<\/ul>\n<\/li>\n<li class=\"p3\"><span class=\"s1\">Class 2: September 10<\/span>\n<ul>\n<li class=\"p3\"><span class=\"s1\">Lecture: Data Vis Toolbox.<\/span><\/li>\n<li class=\"p3\"><span class=\"s1\">Activity: Book sharing; Tabular and Query tools.<\/span><\/li>\n<\/ul>\n<\/li>\n<li class=\"p3\"><span class=\"s1\">Class 3: September 17<\/span>\n<ul>\n<li class=\"p3\"><span class=\"s1\">Lecture: Catherine Cramer, New York Hall of Science.<\/span><\/li>\n<li class=\"p3\"><span class=\"s1\">Activity: Finish Tabular and Query tools; Lit Review exercise.\u00a0<\/span><\/li>\n<\/ul>\n<\/li>\n<li class=\"p3\"><span class=\"s1\">Class 4: September 24<\/span>\n<ul>\n<li class=\"p3\"><span class=\"s1\">Lecture: Chris Willard, Guidewire\u00a0Software.<\/span><\/li>\n<li class=\"p3\"><span class=\"s1\">Activity: Start brainstorming for\u00a0midterm.<\/span><\/li>\n<\/ul>\n<\/li>\n<li class=\"p3\"><span class=\"s1\">Class 5: October 1<\/span>\n<ul>\n<li class=\"p3\"><span class=\"s1\">Lecture: Catherine D&#8217;Ignazio, Emerson Engagement\u00a0Lab. <\/span><\/li>\n<li class=\"p3\"><span class=\"s1\">Activity: Geo-spatial vis tools.\u00a0<\/span><\/li>\n<\/ul>\n<\/li>\n<li class=\"p3\"><span class=\"s1\">Class 6: October 8<\/span>\n<ul>\n<li class=\"p3\"><span class=\"s1\">Lecture: Ekene Ijeoma, multi-dimensional cartographies.<\/span><\/li>\n<li class=\"p3\">Lecture: Kevin Miklasz, Function vs. aesthetics in data visualization: some case studies.<\/li>\n<li class=\"p3\"><span class=\"s1\">Activity: Student-student critiques and open work time.<\/span><\/li>\n<\/ul>\n<\/li>\n<li class=\"p3\"><span class=\"s1\">Class 7: October 15<\/span>\n<ul>\n<li class=\"p3\"><span class=\"s1\">MIDTERM with guest critics De Angela Duff and Holly Orr, NYU. <\/span><\/li>\n<\/ul>\n<\/li>\n<li class=\"p3\"><span class=\"s1\">Class 8: October 22<\/span>\n<ul>\n<li class=\"p3\"><span class=\"s1\">Lecture: Bex Hurwitz, Research\u00a0Action Design.\u00a0<\/span><\/li>\n<li class=\"p3\"><span class=\"s1\">Activity: Human-centered design\u00a0exercise (<a href=\"http:\/\/www.designkit.org\/methods\/27\">design principles<\/a>).<\/span><\/li>\n<\/ul>\n<\/li>\n<li>No Class October 29.<\/li>\n<li class=\"p3\"><span class=\"s1\">Class 9: November 5<\/span>\n<ul>\n<li class=\"p3\"><span class=\"s1\">Lecture: Austin Lee, Microsoft and Carnegie Mellon.<\/span><\/li>\n<li class=\"p3\"><span class=\"s1\">Activity:\u00a0CAD and Motion Graphics Tools.\u00a0<\/span><\/li>\n<\/ul>\n<\/li>\n<li class=\"p3\"><span class=\"s1\">Class 10: November 12<\/span>\n<ul>\n<li class=\"p3\"><span class=\"s1\">Lecture:\u00a0Rafi Santo, Mozilla Hive.\u00a0<\/span><\/li>\n<li class=\"p3\"><span class=\"s1\">Lesson: Kevin Miklasz on R and statistical significance.\u00a0<\/span><\/li>\n<li class=\"p3\"><span class=\"s1\">Activity: Additional tutorials and troubleshooting as needed.<\/span><\/li>\n<\/ul>\n<\/li>\n<li class=\"p3\"><span class=\"s1\">Class 11: November 19<\/span>\n<ul>\n<li class=\"p3\"><span class=\"s1\">Lecture\/lab: Richard The, Google and SVA.<\/span><\/li>\n<li class=\"p3\">Lecture\/lab: Peiqi Su, NYU ITP.<\/li>\n<\/ul>\n<\/li>\n<li class=\"p3\">Class 12: December 3.\n<ul>\n<li class=\"p3\">Lecture:\u00a0Sha Hwang, Healthcare.gov, Gifpop, more.<\/li>\n<li class=\"p3\">Activity: Prepare for\u00a0FINAL<\/li>\n<\/ul>\n<\/li>\n<li class=\"p3\"><span class=\"s1\">Class 13: December 10<\/span>\n<ul>\n<li class=\"p3\"><span class=\"s1\">FINAL with guest critics Amy Yu (Viacom) and Birago Jones (Indicator Ventures, UBQ)<\/span><\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<h2 class=\"p5\"><span class=\"s1\">Recommended Tools<\/span><\/h2>\n<ul>\n<li class=\"p3\"><span class=\"s1\">A tabular software\u00a0environment\u00a0(Excel, Google sheet, Zoho sheet, etc)<\/span><\/li>\n<li class=\"p3\"><span class=\"s1\">A\u00a0relational software environment or interface\u00a0(MySQL, <a href=\"http:\/\/www.tableau.com\/academic\/students\">Tableau<\/a>, <a href=\"http:\/\/dev.socrata.com\/\">SODA<\/a>)<\/span><\/li>\n<li class=\"p3\"><span class=\"s1\"><a href=\"http:\/\/www.google.com\/chrome\/\" target=\"_blank\">Chrome<\/a> (for javascript development)<\/span><\/li>\n<li class=\"p3\"><span class=\"s1\"><a href=\"https:\/\/processing.org\/\" target=\"_blank\">Processing<\/a><\/span><\/li>\n<li class=\"p3\"><span class=\"s1\">A cartographic package (i.e. <a href=\"https:\/\/www.mapbox.com\/tilemill\/\" target=\"_blank\">TileMill<\/a>, <a href=\"https:\/\/cartodb.com\/pricing\/\" target=\"_blank\">CartoDB<\/a>, <a href=\"http:\/\/www.qgis.org\/en\/site\/\" target=\"_blank\">QGIS<\/a>)<\/span><\/li>\n<li class=\"p3\"><span class=\"s1\"><a href=\"http:\/\/www.cytoscape.org\/\" target=\"_blank\">Cytoscape<\/a> or other network graph package (D3 could also work)<\/span><\/li>\n<li class=\"p3\"><span class=\"s1\">A free 3D CAD tool (I recommend trying <a href=\"http:\/\/www.openscad.org\/\" target=\"_blank\">OpenSCAD<\/a> and TinkerCAD)<\/span><\/li>\n<li class=\"p3\"><span class=\"s1\"><a href=\"https:\/\/developer.apple.com\/library\/mac\/documentation\/GraphicsImaging\/Conceptual\/QuartzComposerUserGuide\/qc_intro\/qc_intro.html\" target=\"_blank\">Quartz Composer<\/a> (for Mac only)<\/span><\/li>\n<\/ul>\n<h2 class=\"p5\"><span class=\"s1\">Recommended Books (to be discussed in Class 1)<\/span><\/h2>\n<h3 class=\"p3\"><\/h3>\n<h3 class=\"p3\"><span class=\"s1\">Foundational Books<\/span><\/h3>\n<ul>\n<li class=\"p3\"><span class=\"s1\">Brinton, Willard Cope: <i><a href=\"https:\/\/archive.org\/details\/cu31924032626792\" target=\"_blank\">Graphic Methods for Presenting Facts<\/a>. <\/i>New York: The Engineering Magazine Company, 1914. <\/span><\/li>\n<li class=\"p3\"><span class=\"s1\">Brinton, Willard Cope: <i><a href=\"https:\/\/archive.org\/details\/graphicpresentat00brinrich\" target=\"_blank\">Graphic Presentation<\/a>. <\/i>New York: Brinton Associates, 1939.<\/span><\/li>\n<li class=\"p3\"><span class=\"s1\">Bertin, Jacques: <i><a href=\"http:\/\/www.amazon.com\/Semiology-Graphics-Diagrams-Networks-Maps\/dp\/1589482611\" target=\"_blank\">Semiologie Graphique<\/a> (Semiology of Graphics). <\/i>ESRI Press, 2010 (first edition 1967).<\/span><\/li>\n<li class=\"p3\"><span class=\"s1\">Tufte, Edward. <i><a href=\"http:\/\/www.amazon.com\/The-Visual-Display-Quantitative-Information\/dp\/0961392142\/ref=pd_bxgy_14_img_y\" target=\"_blank\">The Visual Display of Quantitative Information<\/a>. <\/i>Graphics Press, 1983.<\/span><\/li>\n<li class=\"p3\"><span class=\"s1\">Tufte, Edward. <i><a href=\"http:\/\/www.amazon.com\/Envisioning-Information-Edward-R-Tufte\/dp\/0961392118\/ref=pd_bxgy_14_img_y\" target=\"_blank\">Envisioning Information<\/a>. <\/i>Graphics Press, 1990.<\/span><\/li>\n<li class=\"p3\"><span class=\"s1\">Tufte, Edward. <i><a href=\"http:\/\/www.amazon.com\/Visual-Explanations-Quantities-Evidence-Narrative\/dp\/0961392126\/ref=pd_bxgy_14_img_z\" target=\"_blank\">Visual Explanations<\/a>. <\/i>Graphics Press, 1997.<\/span><\/li>\n<\/ul>\n<h3 class=\"p3\"><span class=\"s1\">Recent Books<\/span><\/h3>\n<ul>\n<li class=\"p3\"><span class=\"s1\">B\u00f6rner, Katy. <i><a href=\"http:\/\/www.amazon.com\/Atlas-Science-Visualizing-What-Know\/dp\/0262014459\/ref=sr_1_1?s=books&amp;ie=UTF8&amp;qid=1441130720&amp;sr=1-1&amp;keywords=borner+katy&amp;pebp=1441130721524&amp;perid=1GS2KEJ5GTZ8BE8VT200\" target=\"_blank\">Atlas of Science: Visualizing What We Know<\/a>. <\/i>Cambridge: MIT Press, 2010.<\/span><\/li>\n<li class=\"p3\">Lima, Manuel. <i><a href=\"http:\/\/www.amazon.com\/Visual-Complexity-Mapping-Patterns-Information\/dp\/1616892196\/ref=sr_1_1?s=books&amp;ie=UTF8&amp;qid=1441130688&amp;sr=1-1&amp;keywords=manuel+lima&amp;pebp=1441130689394&amp;perid=125NR4TVJ4J85ZA35X0F\" target=\"_blank\">Visual Complexity: Mapping Patterns of Information<\/a>. <\/i>Princeton: Princeton Architectural Press, 2013.<\/li>\n<li class=\"p3\">B\u00f6rner, Katy and David E. Polley. <i><a href=\"http:\/\/www.amazon.com\/Visual-Insights-Practical-Guide-Making\/dp\/0262526190\/ref=pd_bxgy_14_img_y\" target=\"_blank\">Visual Insights: A Practical Guide to Making Sense of Data<\/a>. <\/i>Cambridge: MIT Press, 2014.<\/li>\n<li class=\"p3\"><span class=\"s1\">Drucker, Joanna. <i><a href=\"http:\/\/www.amazon.com\/Graphesis-Visual-Knowledge-Production-metaLABprojects\/dp\/0674724933\/ref=sr_1_1?s=books&amp;ie=UTF8&amp;qid=1441130661&amp;sr=1-1&amp;keywords=graphesis+visual+forms+of+knowledge+production&amp;pebp=1441130662509&amp;perid=0CRN95XK7C9BBCRBZRJA\" target=\"_blank\">Graphesis: Visual Forms of Knowledge Production<\/a>. <\/i>Cambridge: Harvard University Press, 2014.<\/span><\/li>\n<li class=\"p3\"><span class=\"s1\">B\u00f6rner, Katy. <i><a href=\"http:\/\/www.amazon.com\/Atlas-Knowledge-Anyone-Can-Map\/dp\/0262028816\/ref=pd_bxgy_14_img_y\" target=\"_blank\">Atlas of Knowledge: Anyone Can Map<\/a>. <\/i>Cambridge: MIT Press, 2015.<\/span><\/li>\n<li class=\"p3\"><span class=\"s1\">Strosberg, Eliane. <i><a href=\"http:\/\/www.amazon.com\/Art-Science-Eliane-Strosberg\/dp\/0789212196\/ref=sr_1_fkmr0_1?s=books&amp;ie=UTF8&amp;qid=1441130769&amp;sr=1-1-fkmr0&amp;keywords=elaine+strosberg\" target=\"_blank\">Art and Science<\/a><\/i>. Abbeville Press, 2015.<\/span><\/li>\n<li class=\"p3\"><span class=\"s1\">Halpern, Orit. <i><a href=\"http:\/\/www.amazon.com\/Beautiful-Data-History-Experimental-Futures\/dp\/0822357445\/ref=sr_1_1?s=books&amp;ie=UTF8&amp;qid=1441130795&amp;sr=1-1&amp;keywords=orit+halpern&amp;pebp=1441130797444&amp;perid=1CBPWXYAK0VTHZFCJ0GJ\" target=\"_blank\">Beautiful Data: A History of Vision and Reason Since 1945<\/a>. <\/i>Duke University Press, 2015.<\/span><\/li>\n<\/ul>\n<h2 class=\"p5\"><span class=\"s1\">Office Hours<\/span><\/h2>\n<p class=\"p3\"><span class=\"s1\">Thursday by appointment. E-mail arlduc [at] nyu.edu\u00a0to make an appointment.<\/span><\/p>\n<h2 class=\"p5\"><span class=\"s1\">Grading<\/span><\/h2>\n<h3 class=\"p3\"><span class=\"s1\"><i>Note: Working in groups is strongly encouraged.<\/i><\/span><\/h3>\n<ul>\n<li class=\"p3\"><span class=\"s1\">25% Midterm: Demonstration of prototype &amp; two-page paper with MLA-formatted bibliography.<\/span><\/li>\n<li class=\"p3\"><span class=\"s1\">35% Final: Demonstration of prototype &amp; four-page paper\u00a0with MLA-formatted bibliography.<\/span><\/li>\n<li class=\"p3\"><span class=\"s1\">20% Class participation.<\/span><\/li>\n<li class=\"p3\"><span class=\"s1\">20% Blog posts based on class discussion and project development. At least ten posts are required from the entire semester (five by midterms, five by finals).<\/span><\/li>\n<li class=\"p3\"><span class=\"s1\">Encouraged extra credit options:<\/span>\n<ul>\n<li class=\"p3\"><span class=\"s1\">Expanded blogging<\/span><\/li>\n<li class=\"p3\"><span class=\"s1\">Video documentation<\/span><\/li>\n<li class=\"p3\"><span class=\"s1\">Project web site<\/span><\/li>\n<li class=\"p3\"><span class=\"s1\">Conference paper<\/span><\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<h2 class=\"p5\"><span class=\"s1\">Attendance<\/span><\/h2>\n<p class=\"p3\"><span class=\"s1\">Attendance to all class sessions is mandatory. Class starts at 6:30 sharp. Excused absence requests, i.e. for a religious holiday or a conference, must be made at least 3 business days ahead of the scheduled absence. Emergency absences must be accompanied by official documentation, i.e. a doctor&#8217;s note or MTA notice. One letter grade drop will occur for every two unexcused late arrivals or one unexcused absence. For additional NYU School of Engineering Academic Policies and Requirements, please consult <a href=\"http:\/\/bulletin.engineering.nyu.edu\/content.php?catoid=9&amp;navoid=856\" target=\"_blank\">this link<\/a>.<\/span><\/p>\n<div>\n<h2><span class=\"\">Moses<\/span>\u00a0<span class=\"\">Statement<\/span><\/h2>\n<div>\n<div>\n<div>If you are student with a\u00a0<span class=\"\">disability<\/span>\u00a0who is requesting accommodations, please contact New York University\u2019s\u00a0Moses\u00a0Center for Students with\u00a0<span class=\"\">Disabilities<\/span>\u00a0at\u00a0<a href=\"tel:212-998-4980\" target=\"_blank\">212-998-4980<\/a>\u00a0or\u00a0<a href=\"mailto:mosescsd@nyu.edu\" target=\"_blank\">mosescsd@nyu.edu<\/a>.\u00a0 You\u00a0must be registered with CSD to receive accommodations.\u00a0 Information about the\u00a0Moses\u00a0Center can be found at\u00a0<a href=\"http:\/\/www.nyu.edu\/csd\" target=\"_blank\">www.nyu.edu\/csd<\/a>. The\u00a0Moses\u00a0Center is located at 726 Broadway on the 2nd floor.<\/div>\n<div><\/div>\n<\/div>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Data Visualization from 2D to 4D [Screen Graphics to Physical Objects] DM-GY 9103, Fall 2015 Prof. Arlene Ducao, arlduc [at] nyu.edu Thursdays, 6:30-9:20 PM 2 Metrotech, Room 811 Overview What is data visualization? Why and how do we do it? This course will take you through the process of understanding data visualization role&#8217;s in our [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[7],"tags":[],"class_list":["post-421","post","type-post","status-publish","format-standard","hentry","category-nyu-datavis"],"_links":{"self":[{"href":"https:\/\/arlduc.org\/senseandscale\/index.php?rest_route=\/wp\/v2\/posts\/421","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/arlduc.org\/senseandscale\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/arlduc.org\/senseandscale\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/arlduc.org\/senseandscale\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/arlduc.org\/senseandscale\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=421"}],"version-history":[{"count":21,"href":"https:\/\/arlduc.org\/senseandscale\/index.php?rest_route=\/wp\/v2\/posts\/421\/revisions"}],"predecessor-version":[{"id":650,"href":"https:\/\/arlduc.org\/senseandscale\/index.php?rest_route=\/wp\/v2\/posts\/421\/revisions\/650"}],"wp:attachment":[{"href":"https:\/\/arlduc.org\/senseandscale\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=421"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/arlduc.org\/senseandscale\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=421"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/arlduc.org\/senseandscale\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=421"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}