Abstract
What is the core of Computing? This paper defines the discipline of computing as centered around the notion of modeling, especially those models that are automatable and automatically manipulable. We argue that this central idea crucially connects models with languages and machines rather than focusing on and around computational artifacts, and that it admits a very broad set of fields while still distinguishing the discipline from mathematics, engineering and science. The resulting computational curriculum focuses on modeling, scales and limits, simulation, abstraction, and automation as key components of a computationalist mindset.
- Abelson, H., and Sussman, G. J. 1985. Structure and Interpretation of Computer Programs. MIT Press, Cambridge, Mass. Google ScholarDigital Library
- Adelman, L. 1994. Molecular computation of solutions to combinatorial problems. Science 266, 1021--1024. Google ScholarDigital Library
- Adrion, R., Aiken, B., Bernat, A., Brown, J., Cooper, S., Dunn, M., Finlay, M., Giles, R., Gries,R., Kelemen, C., Krishnamurthy, S., Kumar, D., Kurose, J., Lawrence, A., Masi, L., McCracken, D., Merritt, S., Murtaugh, T., Plotkin, J., Prey, J., Ryder, B., Siraj, R., Stein, L., Tao, L., Teller, V., Thomas, J., Topi, H., Sutner, K., Shaw, M., and Wolz, U. 2006. Report of the NSF Workshop on Integrative Computing Education and Research (Northeast Workshop). Cambridge, Massachusetts, November 2005/January 2006Google Scholar
- Bareiss, C., Powers, K., Thede, S., Meredith, M., Shannon, C., and Williams, J. 2004. The Computer Science Small Department Initiative (CS_SDI) Report. SIGCSE Bull. 36(1), 332--333. Google ScholarDigital Library
- Bentley, J. 1986. Little Languages. Communications of the ACM, 29(8), 711--21. Google ScholarDigital Library
- Brady, A., Bruce, K., Noonan, R., Tucker, A., and Walker, H. 2004. The 2003 model curriculum for a liberal arts degree in computer science: preliminary report. In Proceedings of the 35th SIGCSE Technical Symposium on Computer Science Education, 282--283. Google ScholarDigital Library
- ACM/IEEE-CS Joint Curriculum Task Force. Computing Curricula 2001: Computer Science Volume. 2001. Journal on Educational Resources in Computing 1(3).Google Scholar
- Denning, P. 2003. Great principles of Computing. Communications of the ACM, 46(11), 15--20. Google ScholarDigital Library
- Downey, A., and Stein, L. 2006. A Small Footprint Curriculum for Computing. Frontiers in Education, San Diego, California, October 2006. Google ScholarDigital Library
- Felleisen, M., and Krishnamurthi, S. 2009. Why Computer Science Doesn't Matter. Communications of the ACM 52(7), 37--39. Google ScholarDigital Library
- Foley, J. 2002. Computing > Computer Science. Computing Research News 14(4).Google Scholar
- Furst, M., Isbell, C., and Guzdial, M. 2007. Threads: How to Restructure a Computer Science Curriculum for a Flat World. In Proceedings of the Thirty-Eighth Technical Symposium on Computer Science Education. Google ScholarDigital Library
- Guzdial, M. 2003. A Media Computation Course for Non-Majors. In Proceedings of the 6th Annual Conference on Innovation, and Technology in Computer Science, 104--108. Google ScholarDigital Library
- NRC. 2004. Computer Science: Reflections on the Field, Reflections from the Field. Committee on the Fundamentals of Computer Science: Challenges and Opportunities, Computer Science and Telecommunications Board, National Research Council, National Academies Press 2004.Google Scholar
- Shackelford, R., McGettrick, A., Sloan, R., Topi, H., Davies, G., Kamali, R., Cross, J., Impagliazzo, J., LeBlanc, R., and Lunt, B. 2006. Computing Curricula 2005: The Overview Report. SIGCSE Bull. 38(1), 456--457. Google ScholarDigital Library
- Stein, L. A. 1999. Challenging the Computational Metaphor: Implications for How We Think. Cybernetics and Systems 30(6), 473--507.Google ScholarCross Ref
- Stein, L. A. 1999. What We Swept Under the Rug: Radically Rethinking CS1. Computer Science Education, 8(2), 118--129.Google ScholarCross Ref
- Tucker, A. Deek, F., Jones, J., McCowan, D., Stephenson, C., and Verno. A. 2003. A Model Curriculum for K-12 Computer Science: Final Report of the ACM K-12 Task Force Curriculum Committee.Google Scholar
- Wing, Jeannette. 2006. Computational Thinking. Communications of the ACM 49(3), 33--35. Google ScholarDigital Library
- Wolz, U., Domen, D., and McAuliffe, M. 1997. Multi-Media Integrated into CS 2: an Interactive Children's Story as a Unifying Class Project. SIGCSE Bull. 29(3), 103--110. Google ScholarDigital Library
- Xu, Y, editor. 2009. Transform Science: Computational Education for Scientists. Microsoft Research 2009. DOI=http://research.microsoft.com/transformscience/CEfS.pdfGoogle Scholar
Index Terms
- (Re)defining computing curricula by (re)defining computing
Recommendations
Computing for STEM majors: enhancing non CS majors' computing skills
SIGCSE '12: Proceedings of the 43rd ACM technical symposium on Computer Science EducationOne of the challenges facing the U.S. technological workforce is that as fewer students take computing courses, fewer college graduates are being prepared for computing careers. Besides trying to attract more CS majors, another approach is to (i) design ...
Computing and STEM in Greece: Gender representation of students and teachers during the decade 2002/2012
Female student representation in Computing and Science, Technology, Engineering and Mathematics (STEM) Tertiary education is under-researched in a number of countries including Greece, while studies on female secondary level education teacher ...
Learning cloud computing and security through CloudSim simulation
InfoSec '14: Proceedings of the 2014 Information Security Curriculum Development ConferenceCloud computing is an emerging parallel and distributed service-oriented computing paradigm that provides platform service, software service, and infrastructure service through computing resource virtualization. Cloud computing is fast evolving and ...
Comments