Difference between revisions of "DataVis2012/Schedule"
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== 2/27: Color and Human Perception == | == 2/27: Color and Human Perception == | ||
Lecturer: | Lecturer: Huy Vo | ||
Topics: Color Science; Color spaces; Color Blindness; Color maps; | Topics: Human vision system; Optical illusions; Color Science; Color spaces; Color Blindness; Color maps; | ||
Notes: | Notes: | ||
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Links: | Links: | ||
* http://en.wikipedia.org/wiki/Eye | |||
* http://www.handprint.com/HP/WCL/color2.html | |||
* [http://www-graphics.stanford.edu/courses/cs248-08/color/color1.html Color Theory, ColorSpaces], Marc Levoy, Stanford Graphics Lab. | * [http://www-graphics.stanford.edu/courses/cs248-08/color/color1.html Color Theory, ColorSpaces], Marc Levoy, Stanford Graphics Lab. | ||
* [http://www.research.ibm.com/dx/proceedings/pravda/truevis.htm How NOT to Lie with Visualization], | * [http://www.research.ibm.com/dx/proceedings/pravda/truevis.htm How NOT to Lie with Visualization], Bernice E. Rogowitz, Lloyd A. Treinish, IBM Research. | ||
== 3/5 2D Visualization Techniques == | == 3/5 2D Visualization Techniques == | ||
Revision as of 23:37, 28 February 2012
1/23: Introduction to visualization
Lecturer: Claudio
Topics: Scientific Visualization
Notes: lec01-notes.pdf
Slides: TBA
Animations: NCSA storm animation
Further reading:
Visualization by Tamara Munzner (see PDF on her page)
(Optional reading) Provenance for Computational Tasks: A Survey
(Optional reading) Provenance for Visualizations: Reproducibility and Beyond, C. Silva, J. Freire, and S. Callahan, IEEE Computing in Science and Engineering, 2008.
1/30: The visualization pipeline
Lecturer: Huy Vo
Topics: Procedural vs. Dataflow programming; Using Dataflow for the Vis Pipeline; Dataflow programming with VTK; Dataflow programming with VisTrails; python.
Notes: lec02-notes.pdf
Slides: dataflow.pdf
Further reading:
2/6: Modeling Data for Visualization
Lecturer: Claudio Silva
Topics: Discrete vs continous data; Sampling and interpolation; Point vs triangulated data; Meshing data types; Regular vs irregular data; Tabular data; Vector and tensor fields; Geometry Processing: Reconstruction and meshing; Simplification; Smoothing; Other Filtering algorithms
Topics (here???): Basic linear algebra; vectors; basic differential geometry (space curves, tangents, normals, surfaces); basic vector calculus (gradient, divergence, curl, gauss' theorem, green's theorem)
Notes: modeling data
Slides: processing.ppt
Further reading:
Surface Simplification Using Quadric Error Metrics
(Optional Reading) A Memory Insensitive Technique for Large Model Simplification
(Optional Reading) Quadric-based Simplification in any Dimension
http://en.wikipedia.org/wiki/Least_squares
(Optional Reading) Robust Moving Least-squares Fitting with Sharp Features
(Optional Reading) Optimal Bandwidth Selection for MLS Surfaces
2/13: Plotting
Lecturer: Claudio
Topics: Simple Plotting Methods: Dot Plots, Connected Symbol Plots, Scatter Plots, Histograms, Others. Advanced Plotting Methods: Multimodal, Higher Dimensional, Correlation, Uncertainty and Variation.
Notes: PlottingNotes.pdf
Slides: Plotting1.pdf and Plotting2.pdf
Vistrails: PlottingVistrails.zip - Unzip this file in the examples directory of your VisTrails installation and it will add the vistrails along with their data sets (in the data directory).
Further Reading:
- The Elements of Graphing Data. William S. Cleveland, Hobart Press, 2nd Edition, 1994.
- Visualizing Data. William S. Cleveland, Hobart Press, 1993.
- The Visual Display of Quantitative Information. Edward R. Tufte, Graphics Press, 2001.
- Visual Explanations: Images and Quantities, Evidence and Narrative. Edward R. Tufte, Graphics Press, 2997.
2/20: NO CLASS (President's Day)
2/27: Color and Human Perception
Lecturer: Huy Vo
Topics: Human vision system; Optical illusions; Color Science; Color spaces; Color Blindness; Color maps;
Notes:
Slides:
Links:
- Color Theory, ColorSpaces, Marc Levoy, Stanford Graphics Lab.
- How NOT to Lie with Visualization, Bernice E. Rogowitz, Lloyd A. Treinish, IBM Research.
3/5 2D Visualization Techniques
Lecturer:
Topics: 2-D contours, marching quads, marching tris; Color mapping; height fields; NPR; 2-D vector fields, div, grad, curl in 2D; Steady vs Unsteady flows; Glyphs; 2-D streamlines, streaklines, pathlines
Slides:
Notes:
Vistrails:
3/12 NO CLASS (Spring Break)
3/19 Volume Visualization
Lecturer:
Topics: Slicing; Contours; Marching algorithms; Accelerating structures; High-quality contours
Slides:
References:
3/26 Volume Visualization
Lecturer:
Topics: Structured grid techniques: ray-casting, splatting, texture slicing, shear-warp; Unstructured grid techniques; Transfer function specification
Slides:
Notes:
Vistrails:
References:
4/2 Midterm
4/9 Vector & Tensor Visualization
Lecturer:
Topics: DT/MRI intro, glyphs, colormapping, volume rendering; 3D techniques, critical points
Slides:
References:
4/16: Information Visualization
Lecturer:
Topics: Parallel coordinates; Graph visualization; Trees and Graphs; InfoVis Examples
Slides:
Links:
4/23: Information Visualization
Lecturer:
Topics: Parallel coordinates; Graph visualization; Trees and Graphs; InfoVis Examples
Slides:
Links:
5/7: Information Visualization
Lecturer:
Topics: Parallel coordinates; Graph visualization; Trees and Graphs; InfoVis Examples
Slides:
Links: