Teaching Undergraduates Data Mining in Engineering Programs

Debra L. Banks; Guozhu Dong; Huan Liu; Amit Mandvikar

Teaching Undergraduates Data Mining in Engineering Programs

Debra L. Banks, Guozhu Dong, Huan Liu, Amit Mandvikar

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

The Teaching Undergraduates Data Mining in Engineering Programs project was supported by the National Science Foundation. The project was jointly executed between universities. The project objectives were to: (1) develop an undergraduate data mining course that could be taught in semester or quarter systems and within institutions of varying demographics, (2) establish vehicles and approaches to increase student retention in such a course, and (3) identify data mining skills essential to problem solving. This paper reports on the results of our research effort regarding teaching engineering undergraduates data mining techniques in two different university environments in 2003.

Original language	English (US)
Title of host publication	Proceedings - Frontiers in Education Conference, FIE
Volume	2
State	Published - 2004
Event	34th Annual Frontiers in Education: Expanding Educational Opportunities Through Partnerships and Distance Learning - Conference Proceedings, FIE - Savannah, GA, United States Duration: Oct 20 2004 → Oct 23 2004

Other

Other	34th Annual Frontiers in Education: Expanding Educational Opportunities Through Partnerships and Distance Learning - Conference Proceedings, FIE
Country/Territory	United States
City	Savannah, GA
Period	10/20/04 → 10/23/04

Keywords

Innovative Curriculum
Undergraduate Curriculum

ASJC Scopus subject areas

General Engineering

Cite this

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title = "Teaching Undergraduates Data Mining in Engineering Programs",

abstract = "The Teaching Undergraduates Data Mining in Engineering Programs project was supported by the National Science Foundation. The project was jointly executed between universities. The project objectives were to: (1) develop an undergraduate data mining course that could be taught in semester or quarter systems and within institutions of varying demographics, (2) establish vehicles and approaches to increase student retention in such a course, and (3) identify data mining skills essential to problem solving. This paper reports on the results of our research effort regarding teaching engineering undergraduates data mining techniques in two different university environments in 2003.",

keywords = "Innovative Curriculum, Undergraduate Curriculum",

author = "Banks, {Debra L.} and Guozhu Dong and Huan Liu and Amit Mandvikar",

year = "2004",

language = "English (US)",

volume = "2",

booktitle = "Proceedings - Frontiers in Education Conference, FIE",

note = "34th Annual Frontiers in Education: Expanding Educational Opportunities Through Partnerships and Distance Learning - Conference Proceedings, FIE ; Conference date: 20-10-2004 Through 23-10-2004",

}

TY - GEN

T1 - Teaching Undergraduates Data Mining in Engineering Programs

AU - Banks, Debra L.

AU - Dong, Guozhu

AU - Liu, Huan

AU - Mandvikar, Amit

PY - 2004

Y1 - 2004

N2 - The Teaching Undergraduates Data Mining in Engineering Programs project was supported by the National Science Foundation. The project was jointly executed between universities. The project objectives were to: (1) develop an undergraduate data mining course that could be taught in semester or quarter systems and within institutions of varying demographics, (2) establish vehicles and approaches to increase student retention in such a course, and (3) identify data mining skills essential to problem solving. This paper reports on the results of our research effort regarding teaching engineering undergraduates data mining techniques in two different university environments in 2003.

AB - The Teaching Undergraduates Data Mining in Engineering Programs project was supported by the National Science Foundation. The project was jointly executed between universities. The project objectives were to: (1) develop an undergraduate data mining course that could be taught in semester or quarter systems and within institutions of varying demographics, (2) establish vehicles and approaches to increase student retention in such a course, and (3) identify data mining skills essential to problem solving. This paper reports on the results of our research effort regarding teaching engineering undergraduates data mining techniques in two different university environments in 2003.

KW - Innovative Curriculum

KW - Undergraduate Curriculum

UR - http://www.scopus.com/inward/record.url?scp=21644468869&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=21644468869&partnerID=8YFLogxK

M3 - Conference contribution

VL - 2

BT - Proceedings - Frontiers in Education Conference, FIE

T2 - 34th Annual Frontiers in Education: Expanding Educational Opportunities Through Partnerships and Distance Learning - Conference Proceedings, FIE

Y2 - 20 October 2004 through 23 October 2004

ER -

Teaching Undergraduates Data Mining in Engineering Programs

Abstract

Other

Keywords

ASJC Scopus subject areas

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