Brown University
Fall 1999

Interactive Scientific Visualization

CS 295-5
Tuesday/Thursday 2:30-4
Lubrano (CIT 477)
Handout #1

$\parbox{1.9in}{ Instructor: \par David Laidlaw \par Office: CIT 449 \par Hours: by appt. \par Phone: x37647 \par e-mail: dhl@cs.brown.edu }$$\parbox{1.9in}{ TA: \par Joe LaViola \par Office: CIT 411 \par Hours... ... Office phone: x37662 \par Home phone: 751-0966 \par e-mail: jjl@cs.brown.edu }$$\parbox{2.3in}{ Writing and Rhetoric Fellow: \par Tim Perry \par e-mail: Timothy\_Perry@brown.edu }$

Course Description

In this class we will learn about solving scientific problems using computer graphics and visualization. Students will work in small multi-disciplinary groups to identify scientific problems, propose solutions involving computational modeling and visualization, design and implement the solutions, apply them to the problems, and evaluate their success. Solutions may be, for example, interactive software systems, immersive CAVE applications, or new applications of existing visualization methods.

Aims

At the end of CS295-5, students will have experience with:

• carrying out an interdisciplinary research project;

• effectively communicating with collaborators in other disciplines;

• expressing their scientific ideas more clearly both in writing and orally.

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.

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 course schedule for more details.

Assessment

• Project success and demo: base for class grade. This will be a group grade.

• Each handin and class presentation: can alter your grade by up to 1/2 letter. A late handin will cost 10% of a letter grade off the final course grade for each day (or portion) is is late. This policy will be strictly enforced.

• Class participation: up to 1/2 letter grade increase.

Readings

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