• DocumentCode
    646936
  • Title

    Weight factors optimization for university admission

  • Author

    Torres Martinez, Andres ; Garcia Banos, Angel

  • Author_Institution
    Escuela de Ingeniera de Sist. y Comput., Univ. del Valle, Cali, Colombia
  • fYear
    2013
  • fDate
    7-11 Oct. 2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Universidad del Valle has an annual admission process for Computing Engineering career, based on the scores in the state examination (ICFES) obtained by the students graduated from high school. This test is organized in several components (math, language, etc) and every career can give more relevance to a component than the others. Traditionally, in our university the Computing Engineering career has given a very high score to the math component but until now it did not have a theoretical support. We just thought Computing Science as a branch of Mathematics and therefore its importance. With this work - for the first time - it has been analyzed the correlation among the components of the state examination and the average grades obtained by students in their careers, by means of a genetic algorithm. We got to the big point that mathematics are not as important as we thought it was.
  • Keywords
    computer science education; educational institutions; genetic algorithms; ICFES state examination; Universidad del Valle; computing engineering career; computing science; genetic algorithm; math component; mathematics branch; university admission; weight factors optimization; Biology; Data mining; Educational institutions; Engineering profession; Genetic algorithms; Optimization; genetic algorithms; multivariable optimization; universitary education;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing Conference (CLEI), 2013 XXXIX Latin American
  • Conference_Location
    Naiguata
  • Print_ISBN
    978-1-4799-2957-3
  • Type

    conf

  • DOI
    10.1109/CLEI.2013.6670672
  • Filename
    6670672