Computer Graphics and Visualization Lab
Department of Computer Science at Purdue University

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courses 2013/01/07 13:20 courses 2015/01/07 12:28 current
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^ **CS 530 Introduction of Scientific Visualization**    ^ ^ **CS 530 Introduction of Scientific Visualization**    ^
-| {{:wiki:courses:cs530_image018.jpg|}} {{:wiki:courses:cs530_image020.jpg|}} \\ {{:wiki:courses:cs530_image022.jpg|}} {{:wiki:courses:cs530_image024.jpg|}} \\ Scientific Visualization transforms numerical data sets obtained through measurements or computations into graphical representations. Interactive visualization systems allow scientists, engineers, and biomedical researchers to explore and analyze a variety of phenomena in an intuitive and effective way. The course provides an introduction to the principles and techniques of Scientific Visualization. It covers methods corresponding to the visualization of the most common data types, as well as higher-dimensional, so-called multi-field problems. It combines a description of visualization algorithms with a presentation of their practical application. Basic notions of computer graphics and human visual perception are introduced early on for completeness. Simple but very instructive programming assignments offer a hands-on exposure to the most widely used visualization techniques.  |+| {{:wiki:courses:cs530_image018.jpg|}} {{:wiki:courses:cs530_image020.jpg|}} \\ {{:wiki:courses:cs530_image022.jpg|}} {{:wiki:courses:cs530_image024.jpg|}} \\ The course provides an introduction to the principles and techniques of Scientific Visualization. It covers visualization methods for the most common data types, namely scalar, vector, and tensor fields. It combines a description of visualization algorithms with a presentation of their practical applications. Simple but instructive programming assignments offer a hands-on exposure to the most widely used visualization techniques.  |
^ **CS 531 Computational Geometry**    ^ ^ **CS 531 Computational Geometry**    ^
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^ **CS690T Advanced Visual Data Analysis**    ^ ^ **CS690T Advanced Visual Data Analysis**    ^
-| {{:wiki:courses:cs690t_pic1.jpg?200|}} {{:wiki:courses:cs690t_pic2.jpg?100|}} {{:wiki:courses:cs690t_pic3.jpg?200|}} {{:wiki:courses:cs690t_pic4.jpg?200|}} {{:wiki:courses:cs690t_pic5.jpg?200|}} \\ The information explosion observed in science, engineering, and medicine makes it increasingly difficult to effectively analyze the overwhelming quantity of available data. The goal of scientific visualization is to offer a visual and interactive data interface though which researchers and engineers can make sense of the massive output of numerical simulations and measuring devices. The objective of the course is to expose students to the main ideas and advanced techniques developed in scientific visualization to address the challenges posed by the visual analysis of these datasets. In particular, the discussion emphasizes the general strategy consisting in discovering and conveying the underlying structures present in the data to create high-level and interactive depictions. The course also invites students to make contributions to an open research problem and create publishable results in the course of a project.    |+| {{:wiki:courses:cs690t_pic1.jpg?200|}} {{:wiki:courses:cs690t_pic2.jpg?100|}} {{:wiki:courses:cs690t_pic3.jpg?200|}} {{:wiki:courses:cs690t_pic4.jpg?200|}} {{:wiki:courses:cs690t_pic5.jpg?200|}} \\ The course exposes students to the main ideas and advanced techniques developed in scientific visualization to address the challenges posed by the visual analysis of massive datasets produced by numerical simulations and measuring devices. In particular, the discussion emphasizes the general strategy consisting in discovering and conveying the underlying structures present in the data to create high-level and interactive depictions. The course also invites students to make contributions to an open research problem and create publishable results in the course of a project.    |
 

courses.txt · Last modified: 2015/01/07 12:28 by xmt
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