• 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