A multidisciplinary approach towards computational thinking for science majors

SIGCSE Bulletin Inroads

Volumn 41, Issue 1, 2009, Pages 183-187

  Hambrusch, Susanne ^a   Hoffmann, Christoph ^a   Korb, John T ^a   Haugan, Mark ^a   Hosking, Antony L ^a  

^a Purdue University   (United States)

Author keywords

Computational thinking; computing for scientists; curriculum; multi disciplinary

Indexed keywords

COMPUTATIONAL ASPECTS; COMPUTATIONAL THINKING; COMPUTING FOR SCIENTISTS; DATA MANAGEMENT; MULTI-DISCIPLINARY; MULTI-DISCIPLINARY APPROACH; PROGRAMMING CONCEPTS; SCIENTIFIC DISCIPLINE; SCIENTIFIC DISCOVERY; SCIENTIFIC INQUIRY;

CURRICULA; DATA VISUALIZATION;

HIGH LEVEL LANGUAGES;

EID: 78651551421     PISSN: 10963936     EISSN: None     Source Type: Journal    
DOI: 10.1145/1539024.1508931     Document Type: Article

References (19)

1. R. W. Chabay and B. Sherwood. Matter and Interactions, Vol. I: Modern Mechanics; Vol. II: Electric & Magnetic Interactions. John Wiley and Sons, Hoboken, NJ, 2007.
2. KD Evaluation Consultants. Evaluation of the emerging scholars program (ESP) in computer science. Technical report. 2008.
3. T. J. Cortina. An introduction to computer science for non-majors using principles of computation. In I. Russell, S. M. Haller, J. D. Dougherty, and S. H. Rodger, editors, Proceedings of the 38th ACM SIGCSE Technical Symposium on Computer Science Education, 218-222. ACM, 2007.
4. Z. Dodds, R. Libeskind-Hadas, C. Alvarado, and G. Kuenning. Evaluating a breadth-first CS 1 for scientists. In SIGCSE '08: Proceedings of the 39th ACM SIGCSE Technical Symposium on Computer Science Education, 266-270, 2008.
5. M. Guzdial. Paving the way for computational thinking. Commun. ACM, 51(8):25-27, 2008.
6. P. B. Henderson, T. J. Cortina, and J. M. Wing. Computational thinking. In SIGCSE '07: Proceedings of the 38th ACM SIGCSE Technical Symposium on Computer Science Education, 195-196, 2007.
7. R. E. Mayer. The Cambridge Handbook of Multimedia Learning. Cambridge University Presss, New York, 2005.
8. Future of Computing 2020. Nature, 440, March 2006.
9. New science undergraduate curriculum. Purdue University, College of Science, 2007. http://www.science.purdue.edu/core/requirements2.asp.
10. R: The R project for statistical computing, 2008. http://www.r-project. org/.
11. NSF Workshops on Science Education in Computational Thinking ('07, '08). Purdue University. http://secant.cs.purdue.edu.
12. Lectures and course material for "Introduction to computational thinking." Purdue University, Computer Science, 2008. http://secant.cs. purdue.edu/cs190c:start.
13. R. Sedgewick and K. Wayne. Introduction to Programming in Java: An Interdisciplinary Approach. Addison Wesley, 2008.
14. R. Sedgewick and K. Wayne. Introduction to Computer Science. Addison Wesley, in preparation.
15. A. R. Thakar. The Sloan digital sky survey: Drinking from the fire hose. Computing in Science & Engineering, 10:9-12, January/February 2008.
16. VPython: 3D programming for ordinary mortals, 2007. http://www.vpython. org/.
17. G. Wilson, C. Alvarado, J. Campbell, R. Landau, and R. Sedgewick. CS-1 for scientists. SIGCSE Bull. , 40(1):36-37, 2008.
18. J. M. Wing. Computational thinking. Commun. ACM, 49(3):33-35, 2006.
19. M. Zhang, E. Lundak, C.-C. Lin, T. Gegg-Harrison, and J. Francioni. Interdisciplinary application tracks in an undergraduate computer science curriculum. In SIGCSE '07: Proceedings of the 38th ACM SIGCSE Technical Symposium on Computer Science Education, 425-429, 2007.