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 :
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