Towards a syllabus repository for computer science courses

SIGCSE 2007: 38th SIGCSE Technical Symposium on Computer Science Education

Volumn , Issue , 2007, Pages 55-59

  Tungare, Manas ^a   Yu, Xiaoyan ^a   Cameron, William ^a   Teng, GuoFang ^a   Pérez Quĩones, Manuel A ^a   Cassel, Lillian ^a   Fan, Weiguo ^a   Fox, Edward A ^a  

^a VILLANOVA UNIVERSITY   (United States)

Author keywords

Computing curricula 2001; Curriculum; Syllabus

Indexed keywords

COMPUTER SCIENCE; CURRICULA; INFORMATION TECHNOLOGY; STATISTICS;

COMPUTER SCIENCE COURSES; OPENSOURCE COURSE MANAGEMENT SYSTEM; SYLLABUS REPOSITORY;

INFORMATION ANALYSIS;

EID: 34748912290     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1227310.1227331     Document Type: Conference Paper

References (11)

1. DSpace. DSpace.org. http://www.dspace.org/, Last Accessed: March 2006.
2. W. Fan, E. A. Fox, P. Pathak, and H. Wu. The effects of fitness functions on genetic programming-based ranking discovery for web search: Research articles. Journal of the American Society for Information Science and Technology, 55(7):628-636, 2004.
3. S. Lawrence, K. Bollacker, and C. L. Giles. Distributed error correction. In DL '99: Proceedings of the Fourth ACM Conference on Digital Libraries, page 232, New York, NY, USA, 1999. ACM Press.
4. T. Mitchell. Machine Learning. McGraw-Hill, 1997.
5. Moodle. Moodle - a free, open source course management system for online learning, http://www.moodle.org/, Last Accessed September 2006.
6. L. R. Rabiner. A tutorial on hidden markov models and selected applications in speech recognition, pages 267-296, 1990.
7. The Joint Task Force on Computing Curricula. Computing Curricula 2001. Journal on Educational Resources in Computing (JERIC), 1(3es):1, 2001.
8. The Sakai Project. Sakai: Collaboration and learning environment for education, http://www.sakaiproject.org/, Last Accessed September 2006.
9. C. A. Thompson, J. Smarr, H. Nguyen, and C. Manning. Finding educational resources on the web: Exploiting automatic extraction of metadata. In Proc. ECML Workshop on Adaptive Text Extraction and Mining, 2003.
10. M. Tungare, X. Yu, G. Teng, M. Pérez-Quiñones, E. Fox, W. Fan, and L. Cassel. Towards a standardized representation of syllabi to facilitate sharing and personalization of digital library content. In Proceedings of the 4th International Workshop on Applications of Semantic Web Technologies for E-Learning (SW-EL), 2006.
11. V. N. Vapnik. The Nature of Statistical Learning Theory. Springer-Verlag New York, Inc., New York, NY, USA, 1995.