Brown
Instructor |
Teaching
Assistant |
Writing
Fellow |
|
Prof.
David Laidlaw |
Radu Jianu |
Shiyin Wang |
|
dhl@cs.brown.edu |
jr@cs.brown.edu |
Shiyin_Wang@brown.edu | |
Office:
|
Brown CIT
449 |
Brown CIT
527 |
|
Phone: |
863-7647 |
863-7600 |
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 CAVE applications,
quantitative analysis tools, or new applications of existing
visualizations methods.
At the end of CS237, students will have experience with:
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.
Readings will be copied and handed out or made available via the course calendar web page.
The class will meet in: