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Course Schedule: 


Date
Topic
Suppl. Reading (Chapters)
Labs Handouts
8/27
Intro     intro
8/29
Intro (continued)     see above
9/3
Basic tasks Ward: chapter 1   basicTasks
9/5
Data preparation Ward: chapter 2   dataPrep
9/10
Data reduction and similarity metrics Aggarwal 2.4.3.1, 2.4.1, 6.3.1 lab1 dataRed
9/12
Dimension reduction see above   dimRed
9/17
Bias in Visualization see links on last slide   bias
9/19
Introduction to D3 see recorded lecture video on Brightspace   D3
9/24
Perception and Cognition Ward: chapter 3 lab2 percept
9/26
Visual design and aesthetics Ware: chapter 4, Munzner: chapter 5   design
10/1
Cluster analysis Aggarwal 6.4-5   cluster
10/3
High-D visualization (part 1) Ward: chapter 8   high-D
10/8
see above     see above
10/10 see above   lab3 see above
10/15
no class (Fall Break)      
10/17
Interaction Ward: chapter 11   interact
10/22
Visual analytics Ward: chapter 6   VA
10/24 Visual analytics system design     desEva
10/29
Midterm      
11/31
Statistical evaluation methods   lab4 see above
11/5
Midterm discussion      
11/7
Visualization of hierarchies Ward: chapter 9   hier
11/12
Visualization of time-varying and time-series data Ward: chapter 7   time
11/14
Maps and geospatial visualization Ward: chapter 6   maps
11/19
Tufte's teachings, memorable visualizations, and embellishments   lab5 tufte
11/21
Infographics design     infogra
11/26
Spatial data visualization      
11/28
no class (Thanksgiving)      
12/3
Volume rendering ImageVis3D (volume rendering software from U Utah)   volvis
12/5
Scientific and medical visualization     sciVis
12/12
Final exam: 8:30 - 11:00 pm Location: Frey 102