• DocumentCode
    3232577
  • Title

    Evaluation and analysis on the relation between the configurations of computer major course and graduation employment rate

  • Author

    Lie, Pan ; Xun, Wang ; Chai, Chunlai

  • Author_Institution
    Coll. of Comput. Sci. & Inf. Eng., Zhejiang GongShang Univ., Hangzhou, China
  • fYear
    2009
  • fDate
    25-28 July 2009
  • Firstpage
    1559
  • Lastpage
    1564
  • Abstract
    With the great pressure on employment under current financial crisis, this paper presents hierarchical analysis theory to evaluate the correlation between the configurations of computer major course and employment rate, so as to improve the course configuration and enhance the employment rate. This paper analyzes three provincial colleges with different characteristics, dividing computer major course into four groups. Through different weights on enquiry and scoring by specialists, combining student ability, a comprehensive evaluation model is set up. YAAHP hierarchical analyzing is used to calculate the influence of computer courses on the employment rate, and the result is quite robust. Through empirical training could improve the practical ability and increase the competitive of employment. Maintaining and enhancing specialized course training is closely related to employment rate.
  • Keywords
    computer science education; educational courses; employment; YAAHP hierarchical analysis; comprehensive evaluation model; computer major course; financial crisis; graduation employment rate; hierarchical analysis theory; Computer applications; Computer architecture; Computer science; Computer science education; Educational institutions; Employment; Information analysis; Maintenance engineering; Robustness; Software; Graduation employment rate; YAAHP; course configuration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science & Education, 2009. ICCSE '09. 4th International Conference on
  • Conference_Location
    Nanning
  • Print_ISBN
    978-1-4244-3520-3
  • Electronic_ISBN
    978-1-4244-3521-0
  • Type

    conf

  • DOI
    10.1109/ICCSE.2009.5228331
  • Filename
    5228331