DocumentCode :
2818784
Title :
Teaching undergraduates data mining in engineering programs
Author :
Banks, Debra L. ; Dong, Guozhu ; Liu, Huan ; Mandvikar, Amit
Author_Institution :
Arizona State Univ., Tempe, AZ, USA
fYear :
2004
fDate :
20-23 Oct. 2004
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 :
computer science education; data mining; educational courses; problem solving; teaching; National Science Foundation; data mining course; engineering programs; innovative curriculum; problem solving; undergraduate curriculum; undergraduate teaching; Automotive engineering; Computer science; Data engineering; Data mining; Demography; Education; Instruments; Probability; Problem-solving; Vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Frontiers in Education, 2004. FIE 2004. 34th Annual
ISSN :
0190-5848
Print_ISBN :
0-7803-8552-7
Type :
conf
DOI :
10.1109/FIE.2004.1408648
Filename :
1408648
Link To Document :
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