Teaching Undergraduates Data Mining in Engineering Programs

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

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

1 Scopus citations

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 languageEnglish (US)
Title of host publicationProceedings - Frontiers in Education Conference, FIE
Volume2
StatePublished - 2004
Event34th Annual Frontiers in Education: Expanding Educational Opportunities Through Partnerships and Distance Learning - Conference Proceedings, FIE - Savannah, GA, United States
Duration: Oct 20 2004Oct 23 2004

Other

Other34th Annual Frontiers in Education: Expanding Educational Opportunities Through Partnerships and Distance Learning - Conference Proceedings, FIE
CountryUnited States
CitySavannah, GA
Period10/20/0410/23/04

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Keywords

  • Innovative Curriculum
  • Undergraduate Curriculum

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Banks, D. L., Dong, G., Liu, H., & Mandvikar, A. (2004). Teaching Undergraduates Data Mining in Engineering Programs. In Proceedings - Frontiers in Education Conference, FIE (Vol. 2)