Involving undergraduate students in funded interdisciplinary research

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

Involving undergraduate students in funded interdisciplinary research

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

School of Science, Engineering & Technology (Harrisburg)

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English (US)
Title of host publication	2005 ASEE Annual Conference and Exposition, Conference Proceedings
Pages	9051-9061
Number of pages	11
State	Published - 2005
Event	2005 ASEE Annual Conference and Exposition: The Changing Landscape of Engineering and Technology Education in a Global World - Portland, OR, United States Duration: Jun 12 2005 → Jun 15 2005

Other

Other	2005 ASEE Annual Conference and Exposition: The Changing Landscape of Engineering and Technology Education in a Global World
Country	United States
City	Portland, OR
Period	6/12/05 → 6/15/05

All Science Journal Classification (ASJC) codes

Engineering(all)

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title = "Involving undergraduate students in funded interdisciplinary research",

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.",

author = "Carl Steidley and Alex Sadovski and Kelly Torres and Aimee Mostella and Bachnak, {Rafic A.}",

year = "2005",

language = "English (US)",

pages = "9051--9061",

booktitle = "2005 ASEE Annual Conference and Exposition, Conference Proceedings",

note = "2005 ASEE Annual Conference and Exposition: The Changing Landscape of Engineering and Technology Education in a Global World ; Conference date: 12-06-2005 Through 15-06-2005",

}

Steidley, C, Sadovski, A, Torres, K, Mostella, A & Bachnak, RA 2005, Involving undergraduate students in funded interdisciplinary research. in 2005 ASEE Annual Conference and Exposition, Conference Proceedings. pp. 9051-9061, 2005 ASEE Annual Conference and Exposition: The Changing Landscape of Engineering and Technology Education in a Global World, Portland, OR, United States, 6/12/05.

TY - GEN

T1 - Involving undergraduate students in funded interdisciplinary research

AU - Steidley, Carl

AU - Sadovski, Alex

AU - Torres, Kelly

AU - Mostella, Aimee

AU - Bachnak, Rafic A.

PY - 2005

Y1 - 2005

N2 - 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.

AB - 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.

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UR - http://www.scopus.com/inward/citedby.url?scp=22544475047&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:22544475047

SP - 9051

EP - 9061

BT - 2005 ASEE Annual Conference and Exposition, Conference Proceedings

T2 - 2005 ASEE Annual Conference and Exposition: The Changing Landscape of Engineering and Technology Education in a Global World

Y2 - 12 June 2005 through 15 June 2005

ER -

Involving undergraduate students in funded interdisciplinary research

Abstract

Other

All Science Journal Classification (ASJC) codes

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