• DocumentCode
    2768167
  • Title

    Enhancing Excel skills in teaching undergraduate Operations Management

  • Author

    He, Xin James

  • Author_Institution
    Dolan Sch. of Bus., Fairfield Univ., Fairfield, CT, USA
  • fYear
    2012
  • fDate
    2-4 July 2012
  • Firstpage
    625
  • Lastpage
    629
  • Abstract
    This teaching innovation project aims to enhance Excel skills in teaching an undergraduate operations management course since feedbacks from the Continuous Improvement Assessment Committee (CIAC) of Fairfield University´s Dolan School of Business (DSB) and from the DSB Advisory Board indicate that improving basic Excel skills is one of the key areas necessary to close the feedback loop. As a required undergraduate core business course, Operations Management (OM 101) is a good starting point to enhance basic Excel skills along with quantitative analysis and modeling skills in the subject area. In light of overwhelming topics to be covered in OM 101, we enhance basic Excel skills by means of homework assignments with problem-specific Excel instructions, instead of overburdening the students with Excel lectures or commercially available general-purpose Excel instructions.
  • Keywords
    computer science education; educational courses; spreadsheet programs; teaching; CIAC; Continuous Improvement Assessment Committee; DSB Advisory Board; Excel skill enhancement; Fairfield University Dolan School of Business; OM 101; general-purpose Excel instructions; homework assignments; modeling skills; problem-specific Excel instructions; quantitative analysis; teaching innovation project; undergraduate operation management course teaching; Business; Data analysis; Educational institutions; Equations; Mathematical model; Smoothing methods; Excel skills; undergraduate operations management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Service Systems and Service Management (ICSSSM), 2012 9th International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4577-2024-6
  • Type

    conf

  • DOI
    10.1109/ICSSSM.2012.6252313
  • Filename
    6252313