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
Link To Document