Great Principles in Computing Curricula

Denning, Peter J.

dc.contributor.author	Denning, Peter J.
dc.date	2004
dc.date.accessioned	2013-08-28T22:28:33Z
dc.date.available	2013-08-28T22:28:33Z
dc.date.issued	2004
dc.identifier.citation	Great Principles in Computing Curricula. 2004. In October 2003, the CS Department at NPS initiated a new curriculum organized around a Great Principles framework. Here's an overview of the framework, why it has been difficult to articulate such a framework, experience at NPS, and reflections about computing curricular in general.
dc.identifier.uri	http://hdl.handle.net/10945/35468
dc.description	The article of record as published may be found at http://dx.doi.org/10.1145/1028174.971303	en_US
dc.description	In October 2003, the CS Department at NPS initiated a new curriculum organized around a Great Principles framework. Here's an overview of the framework, why it has been difficult to articulate such a framework, experience at NPS, and reflections about computing curricular in general.	en_US
dc.description.abstract	The nearly three dozen core technologies of computing sit in a simple framework defined by great principles and by computing practices. The great principles are of two kinds, mechanics and design. Computing mechanics comprises computation, communication, coordination, recollection, and automation. Design principles address concerns for complexity, resilience, performance, evolvability, and security. Practices comprise programming, systems, modeling, innovating, and applying. This framework opens many new possibilities for teaching computer science, including new approaches to programming. The new CS curriculum at the Naval Postgraduate School is based on the framework presented here.	en_US
dc.rights	This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.	en_US
dc.title	Great Principles in Computing Curricula	en_US
dc.type	Article	en_US
dc.contributor.department	Computer Science (CS)
dc.subject.author	Learning Publications	en_US