| Songs and the analysis of algorithms |
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Technical Symposium on Computer Science Education
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Proceedings of the twenty-seventh SIGCSE technical symposium on Computer science education
table of contents
Philadelphia, Pennsylvania, United States
Pages: 4 - 8
Year of Publication: 1996
ISBN:0-89791-757-X
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Author
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Darrah Chavey
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Department of Mathematics and Computer Science, Beloit College, 700 College St; Beloit, WI
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| Bibliometrics |
Downloads (6 Weeks): 9, Downloads (12 Months): 29, Citation Count: 3
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ABSTRACT
In teaching a course that includes the analysis of algorithms, songs can be used as teaching examples. Multiple examples can be done at one time, or in one homework set, without the background explanation required to analyze real algorithms. Many components of algorithm analysis can be introduced using an analysis of songs. This is particularly useful at gaining experience extracting summations from "word problems."
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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D. Best ~: B. Best, Song _Pest, Crown Publishers, New York, 1955.
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K. Eisemann, Letter: "Further Results on The Complexity of Songs", Comm. ACM, 1985, 28(3), 235.
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W. Gasarch, Sample Abstract, Call for papers for the 1993 STOC conference, 1992.
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D. Pinsky, Finger Plays and Action Verses for Chzldren, Cooperative Extension Service, Iowa State University, 1977.
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W. W. Newel1, Games and Songs of Amemcan Chzldren, Harper ~ Brothers, 1883. Reprinted by Dover, 1963, and by ClearfieId, 1992.
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CITED BY 3
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Joseph Bergin , Charles Kelemen , Myles McNally , Tom Naps , Mike Goldweber , Chris Power , Stephen Hartley, Non-programming resources for an introduction to CS: a collection of resources for the first courses in computer science, ACM SIGCSE Bulletin, v.33 n.2, June 2001
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Joseph Bergin , Charles Kelemen , Myles McNally , Tom Naps , Mike Goldweber , Chris Power , Stephen Hartley, Non-programming resources for an introduction to CS: a collection of resources for the first courses in computer science, Working group reports from ITiCSE on Innovation and technology in computer science education, June 01, 2001
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