Mon. April 20, 2009 Day 1:
 
09: 00 a .m. - 12:30 p.m.
Room 2129,
Science Building No. 2
Tutorial 1: Fundamentals and Frontiers of Visual Analytics

Presenters:        Jim Thomas (Director, National Visualization and Analytics Center, PNNL, USA),

David Ebert (Director, Purdue Regional Visualization and Analytics Center, Purdue University, USA,)


 

Visual Analytics is the science of analytical reasoning facilitated by visual interfaces. This is an emerging field of study that brings talents from many diverse disciplines including statistics, mathematics, information, knowledge, and library sciences, knowledge representation and synthesis, scientific and information visualization, cognitive and perceptual sciences, communications, decision sciences and more. The demand for visual analytics is being stimulated by new requirements for analytics of massive complex information spaces in science, commerce, home, energy, environment, security, and almost any domain that deals with complex, large information sources that require human judgment to ˇ°detect the expected and discover the unexpectedˇ±. Jim and David will present the new needs for science and technology, referenced from the recent book Illuminating the Path: the Research and Development Agenda for Visual Analytics, http://nvac.pnl.gov/. We will also discuss the driving new characteristics of interaction and suggest the top ten technical challenges for visual analytics, enlisting comments and recommendations. We will present current examples of select research projects, early application deployments and evaluation methods.


09: 00 a .m. - 12:30 p.m.
Room 2736,
Science Building No. 2
Tutorial 2: Graph Visualization
Presenters: Guseppe Liotta and Walter Didimo (Universit¨¤
degli Studi di Perugia, Italy)
 

Graph Visualization is at the heart of many information visualization systems, since it addresses the problem of efficiently conveying the structure of relational data that are typically modeled as graphs. This tutorial gives an introduction to the area of Graph Visualization, surveys some fundamental algorithmic techniques for visualizing graphs, and discusses issues of algorithm engineering and implementation.


14:00 p.m. - 17:30 p.m.
Room 2129,
Science Building No. 2
Tutorial 3: Multidimensional Visualization 2009: New Shapes, Insights and Applications

Presenters:     Alfred Inselberg ( Tel Aviv University, Israel),

Pei Ling Lai (Southern Taiwan University of Technology),

Heejo Lee ( Korea University, Korea)


 

Learn the most recent concepts, intuition and skills for applications to multidimensional problems. The presentation includes Visual & Automatic Data Mining, Statistics, Computer Vision, Collision Avoidance for Air Traffic Control, Geometric Modeling, Decision Support, Detecting Network Intrusions, Merging Machine Learning with Visualization & Data Mining, concluding with teaching tips and research directions.


14:00 p.m. - 17:30 p.m.
Room 2736,
Science Building No. 2

Tutorial 4: Interactive Methods in Scientific Visualization
Presenters:     Jens Krueger ( University of Utah, USA),

Christof Rezk-Salama (Universitaet Siegen, Germany),

Christian Dick, Jens Schneider (Technische Universitaet Muenchen, Germany)

 

 

We will present an introductory tutorial on interactive methods in scientific visualization including talks about volume rendering, vector field visualization and terrain rendering. Additionally, one talk will cover strategies for interactive out-of-core rendering of very large data sets. Each talk starts with a brief introduction into the topics in general, and then focuses on GPU-based visualization methods as well as their implementations on recent graphics hardware. These methods will not only be presented as slides and videos but will also be demonstrated live. The course notes will not only include the slides and videos presented in the talks but also demo applications as well as open-source code.


 

Click here to the toturial registration page.

Only registered attendants can receive printed copies of the lecture notes.

 
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