Great principles in computing curricula

Proceedings of the SIGCSE Technical Symposium on Computer Science Education

Volumn , Issue , 2004, Pages 336-341

  Denning, Peter J ^a,b,c  

^a The Department of Electrical and Computer Engineering   (United States)

^b Computer Science Department ^*  (United States)

^c NPS   (United States)

Author keywords

Algorithms; Design; Experimentation; Human Factors; Languages; Measurement; Performance; Reliability; Security; Theory

Indexed keywords

COMPUTING MECHANICS; CURRICULUM COMPLEXITY; CURRICULUM DIFFICULTIES; PROFESSIONAL PRACTICES;

ALGORITHMS; AUTOMATION; COMPUTATION THEORY; COMPUTER PROGRAMMING LANGUAGES; CURRICULA; MATHEMATICAL MODELS;

COMPUTER SCIENCE;

EID: 2642560518     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (9)

1. Biermann, Alan. Great Ideas in Computer Science (2nd Ed.). MIT Press (1997).
2. Denning, Peter. "Great Principles of Computing." ACM Communications 46, 11 (Nov 2003), to appear.
3. Denning, Peter et al. "Computing as a discipline". ACM Communications 32, 1 (Jan 1989), 9-23.
4. Curriculum 2001 Final Report. 〈computer.org/education/cc2001/final/ 〉
5. Feynman, Richard. Lectures in Physics. Addison-Wesley (1970).
6. Guzdial, Mark, and Elliot Solloway. "Computer science is more important than calculus: The challenge of living up to our potential." Inroads (ACM SIGCSE Bulletin), June 2003, 5-8.
7. Hazen, Robert, and James Trefil. Science Matters. Anchor (1991).
8. Hillis, Danny. The Pattern on the Stone. Basic Books (1999).
9. Sagan, Carl. Cosmos. Random House (2002).