CS237: Interdisciplinary Scientific Visualization

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staff Prof. David Laidlaw (TA) Steve Gomez
reach us dhl@cs.brown.edu
office Brown CIT 521 Brown CIT 423

Class Meetings

The class will meet:

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Course Description

In this class we will learn about solving scientific problems using computer graphics and visualization. We will learn how to do interdisciplinary scientific visualization research, from soup to nuts, in one semester. Projects will involve the solution of scientific problems using computer graphics, modeling, and visualization. Working in small groups, students will identify scientific problems, propose solutions involving computational modeling and visualization, evaluate the proposals, design and implement the solutions, apply them to the problems, evaluate their success, and report on results. Example projects might include interactive software systems, immersive virtual reality cave applications, quantitative analysis tools, or new applications of existing visualizations methods. For this year in particular, the focus will be on applications in the new virtual reality cave.


At the end of CS237, students will have experience with:

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Objectives and Course Content Overview

The course will be organized around "funding" and implementing a small interdisciplinary research project. As references, we'll study some funded grant proposals produced by faculty at Brown and elsewhere. We'll start with a program announcement (PA) or request for proposal (RFP), read the proposal, see the reviews that it received, and look at the work that has resulted from the grant. Some of the proposal authors will guest lecture to describe their proposals, work, and philosophy.

Each member of class will create a short proposal on which they are the principal investigator. The proposals should be multi-disciplinary - so each should have 2 or 3 authors, one of them the principal investigator. The class will review the proposals, emulating the NSF review process, and recommend some of the proposals for "funding." The "funded" proposals will then be implemented in small groups. Each group will finish with an extended abstract and presentation describing their accomplishments.

Class time will be used for project related tasks, discussion of literature and open problems, lectures on research directions and tools, and guest lectures from application areas.

During the semester we will also cover several topics motivated by the project topics. Examples might include modeling of medical images, using user studies for evaluation of interfaces or visualization methods, or numerical optimization. Each student will also be responsible for presenting 2-3 papers on topics related to their project.

See the calendar for more details.

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Readings will be copied and handed out or made available via the course calendar web page.

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