• DocumentCode
    1286063
  • Title

    Experience teaching a graduate level course in evolutionary computation

  • Author

    Srinivasan, Dipti

  • Author_Institution
    Nat. Univ. of Singapore, Singapore, Singapore
  • Volume
    4
  • Issue
    3
  • fYear
    2009
  • Firstpage
    45
  • Lastpage
    46
  • Abstract
    In summary, the course is an in-depth introduction to evolutionary computing techniques and other nature inspired algorithms in the area of computational intelligence, enabling the students to understand the current work in the field and providing starting points for novel research. The feedback from the students has been very positive and encouraging. I have been gratified many times at the end of a semester "when students have come to me to comment on how much they have learned from this course, rigorous as it is. Students have frequently commented that through this course, they not only have been trained in these techniques but, given the highly practical and experimental nature of this type of work, have the opportunity to develop their skills by tackling problems related to industrial needs or to leading edge research.
  • Keywords
    educational courses; evolutionary computation; teaching; computational intelligence; evolutionary computing techniques; graduate level course; teaching; Algorithm design and analysis; Artificial intelligence; Biology computing; Computational intelligence; Constraint theory; Education; Evolutionary computation; Genetic algorithms; Machine learning; Testing;
  • fLanguage
    English
  • Journal_Title
    Computational Intelligence Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    1556-603X
  • Type

    jour

  • DOI
    10.1109/MCI.2009.933100
  • Filename
    5190935