View source for DataVis2012/Schedule

== 1/23: Introduction to visualization ==

Lecturer:  Claudio

Topics:  Scientific Visualization

Notes: [http://www.cs.utah.edu/~csilva/courses/cs5630/lec01-notes.pdf lec01-notes.pdf]

Slides: TBA

Animations: [http://www.cs.utah.edu/~csilva/courses/cs5630/fall2007/SevereTstorm.mov NCSA storm animation]

Further reading:

[http://www.cs.ubc.ca/labs/imager/tr/2009/VisChapter Visualization by Tamara Munzner] (see PDF on her page)

(Optional reading) [http://www.sci.utah.edu/~csilva/papers/cise2008a.pdf Provenance for Computational Tasks: A Survey]

(Optional reading) [http://www.cs.utah.edu/~csilva/courses/cs5630/reproducible_vis.pdf 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: [http://www.cs.utah.edu/~csilva/courses/cs5630/lec02-notes.pdf lec02-notes.pdf]

Slides: [http://www.vistrails.org/download/download.php?type=PUB&id=dataflow.pdf dataflow.pdf]

Further reading:

[http://www.cmake.org/cmake/help/cmake_tutorial.html CMake Tutorial]

[http://www.vtk.org/Wiki/VTK/Tutorials/New_Pipeline VTK Pipeline]

[http://www.vtk.org/Wiki/VTK/Tutorials VTK Tutorial]

[http://www.paraview.org/Wiki/The_ParaView_Tutorial ParaView Tutorial]

== 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: [http://www.vistrails.org/download/download.php?type=PUB&id=week2.pdf modeling data]

Slides: [http://www.vistrails.org/download/download.php?type=PUB&id=processing.ppt processing.ppt] 

Further reading:

[http://www.cs.wisc.edu/graphics/Courses/559-s2001/notes/hanrahan.pdf Basic Signal Processing]

[http://graphics.cs.uiuc.edu/~garland/papers/quadrics.pdf Surface Simplification Using Quadric Error Metrics]

(Optional Reading) [http://www.sci.utah.edu/~csilva/papers/vis2001b.pdf A Memory Insensitive Technique for Large Model Simplification]

(Optional Reading) [http://graphics.cs.uiuc.edu/~garland/papers/TR-2004-2450.pdf Quadric-based Simplification in any Dimension]

http://en.wikipedia.org/wiki/Least_squares

(Optional Reading) [http://www.sci.utah.edu/~csilva/papers/sig2005.pdf Robust Moving Least-squares Fitting with Sharp Features]

(Optional Reading) [http://www.sci.utah.edu/~cscheid/pubs/band_mls.pdf 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:  [http://www.sci.utah.edu/~stevec/classes/cs5630/PlottingNotes.pdf PlottingNotes.pdf]

Slides:  [http://www.sci.utah.edu/~stevec/slides/SciVis/Plotting1.pdf Plotting1.pdf] and [http://www.vistrails.org/download/download.php?type=PUB&id=Plotting2.pdf Plotting2.pdf]

Vistrails: [http://www.sci.utah.edu/~stevec/classes/cs5630/PlottingVistrails.zip 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.

* [http://www.fmrib.ox.ac.uk/analysis/techrep/tr00mj2/tr00mj2/node24.html Histogram Bin Size]

* [http://en.wikipedia.org/wiki/Correlation Correlation]

* [http://en.wikipedia.org/wiki/Linear_regression Linear Regression]

* [http://en.wikipedia.org/wiki/Box_plot Box Plots]

==  2/20:  NO CLASS (President's Day) ==

== 2/27: Color and Human Perception ==

Lecturer: 

Topics: Color Science; Color spaces; Color Blindness; Color maps; Tone mapping

Notes: 

Slides: 

Links:

== 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: