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{{DISPLAYTITLE:CS 4460 - Introduction to Information Visualization}}
  
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[[Category:Courses|^CS^CS]]
  
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'''CS 4460''', formally known as '''Introduction to Information Visualization''' or Infovis for short, is a 3 credit hour [[Computer Science]] course about data visualization and interactivity. The course counts as both a Human-Centered Technology elective for the [[People]] thread and a Media Technologies elective for the [[Media]] thread.
  
'''CS 4460''', formally known as '''Introduction to Information Visualization''' or Infovis for short, is a 3 credit hour [[Computer Science]] course about data visualization and interactivity. The course counts as both a Human-Centered Technology elective for the [[People]] thread and a Media Technologies elective for the [[Media]] thread.
   
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== Topic List ==
  
== Topic List ==
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The following is a high level overview of the topics covered during the course.
  
   
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{| role="presentation" class="mw-collapsible mw-collapsed"
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* Representing multivariate data in two dimensions
  
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* Perceptual processing and Gestalt principles
  
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==== Lecture Topic List ====
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* Ethics of visual design
  
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* Mental models and sensemaking
  
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* Infovis overview
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* Multivariate data and charts
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** Parallel coordinates
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** Attribute explorer
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** Scatterplot matrix
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** Star plots
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** Star coordinates
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** Small multiples
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** Mosaic plots
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** Attribute explorer
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** Dust & magnet
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* Perception and Gestalt
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** Two-stage model of perceptual processing
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** Gestalt principles
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* Visual chart design guidelines and principles (Tufte and Few)
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** Graphical integrity
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** Lie factor
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** Data-ink ratio
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* Tasks and analysis
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** Schneiderman's task x datatype taxonomy
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** Schneiderman's mantra (overview first, zoom and filter, details on demand)
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** Mental models
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** Sensemaking loop
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** Data frame model
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** ICE-T evaluation
 
* User interaction
  
* User interaction
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** User Interaction taxonomies (Yi et al.)
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** Querying and dynamic query
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** Query controls
 
* Text visualization
  
* Text visualization
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** Information retrieval
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** Visualizing search queries
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** Word clouds
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** Word trees
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** Phrase nets
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** Theme/topic analysis
 
* Graphs and networks
  
* Graphs and networks
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** Schneiderman's Netviz Nirvana
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** Graph/Network task taxonomy
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** Graph layout approaches
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** Scale challenges
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** Graph querying
 
* Hierarchies and trees
  
* Hierarchies and trees
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** Node-link diagrams
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*** SpaceTree
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*** Indented lists
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*** Hyperbolic browser
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*** Flextree
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** Space-filling representations
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*** Icicle plot
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*** Treemap
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*** Context treemap
 
* Storytelling
  
* Storytelling
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** Communicating insights
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** Hans Rosling
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** Data-driven storytelling
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** Exploration vs explanation
 
* Visual analytics
  
* Visual analytics
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** Integration of data mining and machine learning algorithms
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* Time series and temporal data
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* Time-series and temporal visualizations
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** Time taxonomy
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** Querying time-series data
 
* Explainability
  
* Explainability
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* Evaluation
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* Evaluating effectiveness
  
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** Utility vs usability
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** Schneiderman & Plaisant's MILC technique (multi-dimensional, in-depth, long-term case study)
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** ICE-T evaluation
 
* Data humanism
  
* Data humanism
 
* Geospatial visualization
  
* Geospatial visualization
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** Geometry
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* Visualization on small-scale and large-scale devices
  
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*** Modifiable areal unit problem (MAUP)
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** Cartograms
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** Scalar fields and isolines
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* Post-WIMP visualization; visualization tools and toolkits
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** Vis on other devices
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*** Small-scale (mobile/touch)
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*** Large-scale (large/multiple displays)
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|}
   
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{| role="presentation" class="mw-collapsible mw-collapsed"
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{| role="presentation" class="wikitable mw-collapsible mw-collapsed"
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| <strong> Lab Topic List (Alex Endert, Fall 2021) </strong>
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=== Lab Topic List (Alex Endert, Fall 2021) ===
  
 
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= Resources =
  
= Resources =
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WIP
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https://va.gatech.edu/courses/cs4460/
  

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