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Course Schedule: 


Date
Topic
Suppl. Reading (Chapters)
Labs Handouts
8/29
Intro     intro
8/31
Intro     see above
9/5
Basic tasks Ward: chapter 1   basicTasks
9/7
Data preparation Ward: chapter 2   dataPrep
9/12
Data reduction and similarity metrics Aggarwal 2.4.3.1, 2.4.1, 6.3.1 lab1 dataRed
9/14
Dimension reduction see above   dimRed
9/19
Introduction to D3     d3
9/21
Bias in Visualization see links on last slide lab2 bias
9/26
Perception and Cognition Ward: chapter 3   perc
9/28
Visual design and aesthetics Ware: chapter 4, Munzner: chapter 5   design
10/3
Cluster analysis Aggarwal 6.4-5   cluster
10/5
High-D visualization (part 1) Ward: chapter 8   high-D
10/10
no class (Fall Break)      
10/12 High-D visualization (part 2) see above lab3 see above
10/17
High-D visualization (part 3) see above   see above
10/19
Interaction Ward: chapter 11   interact
10/24
Visual analytics Ward: chapter 6   VA
10/26 Visual analytics system design   lab4 desEva
10/31
User studies and evaluation     see above
11/2
Midterm review      
11/7
Midterm      
11/9
Visualization of hierarchies Ward: chapter 9   hier
11/14
Midterm discussion      
11/16
Visualization of time-varying and time-series data Ward: chapter 7 lab5 timeStream
11/21
Maps and geospatial visualization Ward: chapter 6   maps
11/23
no class (Thanksgiving)      
11/28
Tufte's teachings, memorable visualizations, and embellishments     tufte
11/30
Infographics design     infogfx
12/5
Spatial data visualization: volume rendering ImageVis3D: software tutorial lab6 volvis
12/7
Scientific and medical visualization     sciVis
12/14
Final exam (8:30-11:00 pm)