Using scientific data to teach a database systems course

Paul J. Wagner; Elizabeth Shoop; John V. Carlis

doi:10.1145/792548.611975

Using scientific data to teach a database systems course

Paul J. Wagner, Elizabeth Shoop, John V. Carlis

Computer Science and Engineering

Research output: Contribution to journal › Conference article › peer-review

9 Scopus citations

Abstract

Database systems instructors face an ongoing challenge to develop meaningful assignments for their courses. We have found that instructors can successfully use large scientific datasets in teaching a database systems course to better prepare students for real-world database systems work.

Original language	English (US)
Pages (from-to)	224-228
Number of pages	5
Journal	SIGCSE Bulletin (Association for Computing Machinery, Special Interest Group on Computer Science Education)
DOIs	https://doi.org/10.1145/792548.611975
State	Published - 2003
Event	Proceedings of the 34th SIGCSE Technical Symposium on Computer Science Education - Reno,NV, United States Duration: Feb 19 2003 → Feb 22 2003

Keywords

Database
Scientific
Systems
Teaching

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title = "Using scientific data to teach a database systems course",

abstract = "Database systems instructors face an ongoing challenge to develop meaningful assignments for their courses. We have found that instructors can successfully use large scientific datasets in teaching a database systems course to better prepare students for real-world database systems work.",

keywords = "Database, Scientific, Systems, Teaching",

author = "Wagner, {Paul J.} and Elizabeth Shoop and Carlis, {John V.}",

year = "2003",

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journal = "SIGCSE Bulletin (Association for Computing Machinery, Special Interest Group on Computer Science Education)",

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publisher = "Association for Computing Machinery (ACM)",

note = "Proceedings of the 34th SIGCSE Technical Symposium on Computer Science Education ; Conference date: 19-02-2003 Through 22-02-2003",

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AU - Wagner, Paul J.

AU - Shoop, Elizabeth

AU - Carlis, John V.

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KW - Database

KW - Scientific

KW - Systems

KW - Teaching

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DO - 10.1145/792548.611975

M3 - Conference article

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SP - 224

EP - 228

JO - SIGCSE Bulletin (Association for Computing Machinery, Special Interest Group on Computer Science Education)

JF - SIGCSE Bulletin (Association for Computing Machinery, Special Interest Group on Computer Science Education)

T2 - Proceedings of the 34th SIGCSE Technical Symposium on Computer Science Education

Y2 - 19 February 2003 through 22 February 2003

ER -

Using scientific data to teach a database systems course

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