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Article
Outcomes-based computing accreditation criteria.
Faculty Publications
  • Stu Zweben
  • Han Reichgelt
  • Gayle Yaverbaum
SelectedWorks Author Profiles:

Han Reichgelt

Document Type
Article
Publication Date
2006
Date Issued
January 2006
Date Available
July 2014
Disciplines
ISBN
1-59593-259-3
Abstract
The Computing Accreditation Commission (CAC) of ABET has proposed new, outcomes-based criteria to accredit programs under the commission’s jurisdiction. These programs include computer science, information systems, and information technology. The criteria follow the new structure of so-called “general criteria,” components of criteria that apply to any computing program accredited by CAC, and “program criteria” for each specific disciplinary area, to supplement the general criteria. The “general –program” criteria structure was introduced at last year’s SIGCSE, but the outcomes-based approach now under consideration is new and significantly different from both current criteria and those discussed last year. This session will discuss the new criteria, including both the proposed general and program criteria, and the timetable for implementation of the new criteria. Feedback to the proposed criteria is being sought.
Comments
Citation only. Full-text article is available through licensed access provided by the publisher. Published in SIGCSE '06 Proceedings of the 37th SIGCSE technical symposium on Computer science education, Houston TX, February 2006. (pp: 129-130). New York: Association for Computing Machinery. doi: 10.1145/1124706.1121383. Members of the USF System may access the full-text of the article through the authenticated link provided.
Language
en_US
Publisher
Association for Computing Machinery
Creative Commons License
Creative Commons Attribution-Noncommercial-No Derivative Works 4.0
Citation Information
Zweben, S., Reichgelt, H., & Yaverbaum, G. (2006). Outcomes-based computing accreditation criteria. SIGCSE '06 Proceedings of the 37th SIGCSE technical symposium on Computer science education, Houston TX, February 2006. (pp: 129-130). New York: Association for Computing Machinery. doi: 10.1145/1124706.1121383