A multidisciplinary approach towards computational thinking for science majors

SIGCSE'09 - Proceedings of the 40th ACM Technical Symposium on Computer Science Education

Volumn , Issue , 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 THINKINGS; COMPUTING FOR SCIENTISTS; DATA MANAGEMENT; MULTI-DISCIPLINARY; MULTI-DISCIPLINARY APPROACH; PROGRAMMING CONCEPTS; SCIENTIFIC DISCIPLINE; SCIENTIFIC DISCOVERY; SCIENTIFIC INQUIRY;

COMPUTER SCIENCE; CURRICULA; DATA VISUALIZATION; EDUCATION COMPUTING; HIGH LEVEL LANGUAGES; TEACHING; VISUALIZATION;

ENGINEERING EDUCATION;

EID: 70450163753     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1508865.1508931     Document Type: Conference Paper

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. 2020 - Future of Computing. 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.