UNDERGRADUATE COMPUTATIONAL SCIENCE EDUCATION AWARD
This announcement is to invite and encourage participation in in the Undergraduate Computational Science Education Awards program. The program is geared towards those who are developing innovative and effective projects for teaching computational science and engineering at the undergraduate level. Awards will be given for the best project descriptions submitted, and the details of the winning projects will be published in an electronic forum.
PROGRAM GOAL:
To encourage broad use of Computational Science in undergraduate education.
DEFINITION OF COMPUTATIONAL SCIENCE:
Computational science and engineering, and its extensions into other areas of scholarship, is the use of contemporary computer technology to explore and advance the state of knowledge. A distinguishing feature of computational science is its multidisciplinary focus on applications while elucidating a computational technique, whether numerical or symbolic.
Computational science emphasizes the use of the computer as an essential tool to solve problems in many disciplines. It should not be confused with computer science, which focuses on the computer itself. Projects in computational science might include computer predictions of environmental changes, structural responses to earthquakes, multidimensional international monetary fluctuations, population dynamics, natural language processing, and others. Winners of previous Undergraduate Computational Science Awards submitted projects ranging from breast cancer diagnosis to population genetics, from neuron processing to small animal dispersal, from single-stage-to-orbit rocketry to flame temperature analysis.
PROJECT GUIDELINES:
A project submission would typically include computational science materials, methods, and modules for demonstrating computational science in the classroom. Its scope could be as small as a single concept or as large as an entire course. Modules and materials will be broadly redistributed electronically through Ames Laboratory's Undergraduate Computational Engineering and Science Project.
Descriptions of previous award winners may be viewed on the World-Wide Web at