2010W MAT259 - Visualizing Information


2010W Instructor TA		MAT259 Visualizing Information(4 units) George Legrady Reza Ali Lecture/lab: Tues-Thurs 11:00-1:00 Estudio/Arts old gym 479-1211

Course Description		A lecture and lab course to explore the visual organization of information. Lectures, readings and technical demos will focus on a range of conceptual models of data visual mapping as implemented in various disciplines, artistic, statistical and scientific, that are used to represent information visually. All the projects and demos will be using the same dataset collected since 2005 through the Seattle Public Library project to facilitate skill acquisition in visual and information design. Presentations and Projects to address 3 forms of data visualization: 1) 2D Spatial Mapping, 2) 3D Volumetric Data 3) 3D Spatial, time-based and Interactive. Mailling List 2008 projects \| 2009 projects: Syed Reza Ali \| A.Burbano \| D.Hardy \| P.Hovey \| M.Hubert

Koolhaas' Seattle Library		OMA/LMN Concept Book \| PrinceRamus on TED \| SPL Architecture

Making Visible the Invisible		Project Link \| ICHIM Publication \| Mapping Statistics Interview

The Data		XML Format Data \| Dewey Classification \| ItemTypes \| Histogram

TextBook		Graphics of Large Datasets, Unwin, Theus, Hofmann

SECTION 2D		MULTIDIRECTIONAL FLOW IN 2D MAPPING SPACE

[wk 1]......Lecture 1.05		Introduction: Data Overview
		Overview of Seattle data, format, etc. Intro to data Visualization (To translate abstract data into visual form)

Lab 1.07		XMLstripper \| SPLDataTools \| Week1Demos
		Introduction to the Processing environment \| XML Basic

Reading		Information Visualization (Robert Kosara - publ) \| Txtbook: 1-Introduction, 2-Statistical Graphics

[wk 2]......Lecture 1.12		2D Spatial Mappings Histogram [1] \| Scatterplot [interactive] \| Boxplot \| Mosaic \| Parallel Coordinates [1] [2] \|\| Treemap [1] \| heatmap [1] \| Misc: Mice/Elephant \| Various 2D Angus Forbes SPL DataVis: Expl \| [1] [2] [3] [Avrg] code

Lab 1.14		Interactive Histogram \| Week2Demos


Reading		Visual Metaphors (Ziemkiewicz/Robert Kosara) \| Txtbook: 3-Scaling up Graphics

[wk 3]......Lecture 1.19		Aesthetics & Visual Language Basics [PPT]
		Visual Complexity \| Spatial Info Design Lab [million dollar blocks - pdfDoc]

1.21		Presentation: 2D Spatial Mapping Ben Alun-Jones Andrew Ballinger Eliza Bradley Laura Devendorf Zachary Rubin

Reading		Visualization Criticism, Kosara

SECTION 3D		MULTIDIRECTIONAL FLOW IN 3D MAPPING SPACE

[wk 4]............Lab 1.26		Week3Demos

Lab 1.28		Week3Demos


[wk 5]......Lecture 2.02		3D Volumetric Visualization
		SearchScapes, Manhattan \| Synoptic \| pushandplay \|
Lab 2.04		Week4Demos


Reading		Txtbook: 5-Multivariate Data, 7-Multivariate: Parallel Coordinates

[wk 6]......Lecture 2.09		Discipline Specific Perspectives [PPT]
		Historical examples Tufte [2] Scientific Visualization Studio: NASA \| Wolfram's New Kind of Science Library Science: Information retrieval \| data mapping Social Science/Geography: GIS \| CyberSpace \| CyberGeography Information Aesthetics: Infosthetics \| Visual Complexity

Lab 2.11		Week5Demos

SECTION 4D		3D SPATIAL TEMPORAL INTERACTIVE

[wk 7].......Lecture 2.16		Time Based Visualization & Narrative
Data in 3D Space Mass Interactive Time Wrap Map Torus 3D		Syed Reza \| YChuang \| Chaos Form \| Velocity \| Lorenz [1] \| 3D Tetrahedon Space \| Elouini DataForm \| Severe Storm \| Tufte \| Dark Matter \| Flow Time \| Torus Wrap \| DataMapped

lab 2.18		Week6Demos



Reading		Txtbook: 8-Networks, 9-Trees

[wk 8].......Lecture 2.23		Translation & Metaphor, Interactive
		To use a set of data for another purpose (light, noise as a way to design a building)

Lab 2.25		Week7Demos



[wk 9].................. 3.02		Independent Meetings

3.04		Presentation: 3D Volumetric Visualization Ben Alun-Jones Andrew Ballinger Eliza Bradley Laura Devendorf Zachary Rubin


[wk 10]............Lab 3.09		Dead Week; Production

Lab 3.11		Dead Week; Production

[wk 11]................. 3.16		Presentation: Final Projects Ben Alun-J ones Andrew Ballinger Eliza Bradley Laura Devendorf Zachary Rubin



Grading		Completion of 3 projects 25% each Participation and Literature Review Review25% The course is designed to accommodate both beginning and advanced students. All students will be expected to perform at the level of their expertise but programming experience is desirable.