Involving undergraduate students in funded interdisciplinary research

Carl Steidley, Alex Sadovski, Kelly Torres, Aimee Mostella, Rafic A. Bachnak

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Development of an effective and reliable tools for modeling the environmental systems of the Gulf of Mexico and the involvement of undergraduate students in funded interdisciplinary research are discussed. Different schemes used for the prediction of water levels include harmonic analysis, multivariate statistical models, and artificial neural networks (ANN). Three different statistical models were used for the 'next-hour' predictions of levels of water, and speed and directions of wind. The ANN model capture captures a large fraction of the water anomaly and improves significantly on tide tables.

Original languageEnglish (US)
Title of host publication2005 ASEE Annual Conference and Exposition, Conference Proceedings
Pages9051-9061
Number of pages11
StatePublished - 2005
Event2005 ASEE Annual Conference and Exposition: The Changing Landscape of Engineering and Technology Education in a Global World - Portland, OR, United States
Duration: Jun 12 2005Jun 15 2005

Other

Other2005 ASEE Annual Conference and Exposition: The Changing Landscape of Engineering and Technology Education in a Global World
CountryUnited States
CityPortland, OR
Period6/12/056/15/05

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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