Home
Schedule
Labs
Links
Policies
Grades

Course Schedule: 


Date
Topic
Suppl. Reading (Chapters)
Labs Handouts
8/30
Intro     intro
9/1
Data types Aggarwal: 1.1-3   dataTasks
9/6
no class (Labor Day)      
9/8
Basic tasks Aggarwal: 2.1-2 lab1 see above
9/13
Data and representation Aggarwal: 2.3   dataRep
9/15
Data reduction Aggarwal 2.4.1.1, 6.3.1   dataReduct
9/20
Dimension reduction Aggarwal 2.4.3.1 lab1 due dimReduct PCA-tutorial
9/22
Intro to D3.js see links inside presentation lab2 out D3intro
9/27
Visual perception and cognition Few: chapter 3, Ware: chapters 2-4   percep
9/29
Visual design and aesthetics Ware:: chapter 4, Munzner: chapter 5   designAesth
10/4
Visual analytics tasks and design Munzner: chapter4   analyticsTask
10/6
Cluster analysis Aggarwal 6.4-5   clustAnalysis
10/11
High-dimensional space visualization Munzner: chapters 7, 13 lab 2 due highDVis
10/13
Spatial data: intro to volume rendering Engel: chapter 1 lab 3 out volRenTheory
10/18
GPU primer NVIDIA CUDA Programming Guide   GPUPrimer
10/20
Raycasting and transferfunctions Engel: chaper 7.1-2, 4.1-3, 10.1-2   volvis
10/25
Illumination and isosurface rendering Engel: chapter 5.1-6,   illum isosurface
10/27
Midterm exam      
11/1
Scientific visualization   lab 3 due sciVis
11/3
Illustrative rendering   lab 4 out npr
11/8
Midterm returned and discussed      
11/10
Principles of interaction Few: chapter 4   interact
11/15
Visual analytics and sensemaking Cook Heuer   visAnalytics
11/17
Hierarchies and trees Munzner: chapter 9 lab 4 due hierarchy
11/22
Time series and streaming data   lab 5 out time
11/24
no class (Thanksgiving)      
11/29
Maps     maps
12/1
Memorable visualizations     tufte
12/6
Evaluation and user studies     userEval
12/8
Review      
12/20
Final exam: 11:15am-1:45pm