Fundamentals of Visualization

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Fundamentals of Visualization

• CSE 788 14K
• Han-Wei Shen
• Department of Computer Science and Engineering
• The Ohio State University

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Basic Information

• Credit Hours 3
• Class MWF 1230 118pm BE 198
• Instructor Han-Wei Shen (hwshen_at_cse.ohio-state.ed
  u) DL 789
• Office hours MW 130-230pm

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Textbooks

• The following books are required
• The Visual Display of Quantitative Information
• Envisioning Information
• Visual Explanation
• All by Edward R. Tufte

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Reference

• The Visualization Handbook, by Charles D. Hansen
  and Christopher R. Johnson

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Grading Policy

• Class participation and presentation 20
• Midterm project or report 30
• Final project 50
• There might be exams, depending on class
  participation

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What is this class about

• Principles of Visual Design for Envisioning
  Information
• History of data graphics
• Practical theories of visual design for data
  analysis
• Design Strategies
• Visualization Integrity
• Scientific Visualization Algorithms
• Scalar data visualization
• Vector data visualization
• User interface and applications of design
  principles

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Principles of Visual Design
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Topics about Visual Design

• Examples and General Principles
• Theory of Data Graphics
• Visual Design Strategies
• Graphics Integrity

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Theory of Data Graphics

• Data Ink and Data Density
• Data Ink Maximization
• Multi-functioning Graphics Elements
• Chartjunk
• Aesthetics

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Visual Design Strategies

• Visualization of Nouns
• Micro/Macro Readings
• Layering and Separation
• Small Multiples
• Color and Information
• Narrative of Space and Time

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Visual Design Strategies

• Visualization of Verbs
• Smallest Effective Difference
• Parallelism
• Multiples and Visual Confections

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Graphics Integrity

• Graphical Integrity
• Source of Graphical Integrity and Sophistication

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Scientific Visualization Algorithms
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Scientific Visualization Algorithms

• Volume Rendering
• Optical model for volume rendering
• Regular and Irregular volume rendering
• User-centric algorithms (transfer function
  design, expressive rendering, view selection,
  etc)
• Isosurface Extraction
• Basic algorithms
• Expressive rendering of isosurfaces
• User-centric algorithms (selection of isovalues,
  etc)
• Flow Visualization Algorithms
• Traditional visualization algorithms
• Graphics hardware algorithms
• User interface issues
• Large Data Visualization Algorithms
• Introduction to parallel rendering

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About the midterm and final projects(Tentative)

• Midterm project applications of Tufes design
  principles for visual data analysis (due at the
  6th or 7th week)
• Final project Further development of midterm
  project, or advanced visualization research (aim
  for IEEE Vis07)

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Data Sets

• DOE SciDAC Data Sets
• Effort under SciDAC Visualization Institute
• http//vis.cs.ucdavis.edu/IUSV/
• IEEE Visualization 2005 Vis Contest
• New Orleans Simulation Data
• http//vis.computer.org/vis2005contest/data.html
• IEEE Visualization 2006 Vis Contest
• http//2006_ieee_vis.sdsc.edu/2006_ieee_vis_data/

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Questions?