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Dr. Ernesto Coto
Computer Graphics Center
Universidad Central de Venezuela
ernesto.coto@ciens.ucv.ve
Scientific Visualization
Course Description
Currently, many scientific fields can produce large amounts of data resulting from different processes and experiments. These data must be deeply analyzed and comprehended, so as to potentially lead to new methods and inventions which can push forward current knowledge and technology. Most of the times, understanding the data can be very challenging due to its dimensionality, size or scale, among other factors. This is where Scientific Visualization plays an important role, since it provides methods to represent these data graphically in such a way that it can be analyzed and understood faster, easier and better. This course starts with a review of the current state of the art of the scientific visualization field, and then follows with a description of data acquisition and representation methods. Then, the course will focus on different methods for displaying the data and current applications of these methods.

 

Course Outline

Lecture 1:
Introduction to scientific visualization. Review of current trends and methods

Lecture 2:

Data acquisition, dimensionality, classification and organization

Lecture 3:
Review of rendering methods. Dealing with 2D, 3D and 4D data

Lecture 4:
Focus on Rendering of Geometric Data. Review of current applications

Lecture 5:
Focus on Direct Volume Rendering. Review of current applications

 

 

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Last updated: October 1, 2009 2:35 PM