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Randomness and probability in the early CS courses
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Source Technical Symposium on Computer Science Education archive
Proceedings of the 36th SIGCSE technical symposium on Computer science education table of contents
St. Louis, Missouri, USA
Pages: 556 - 557  
Year of Publication: 2005
ISBN:1-58113-997-7
Also published in ...
Authors
David Ginat  Tel-Aviv University
Richard Anderson  University of Washington
Daniel D. Garcia  University of California, Berkeley
Richard Rasala  Northeastern University
Sponsors
SIGCSE: ACM Special Interest Group on Computer Science Education
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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ABSTRACT

Randomness and probability are essential notions in CS studies. They are invoked and employed in diverse courses at different levels. Although a structured course on these notions does not usually appear early in the curriculum, students and educators may benefit from their encapsulation already in CS0 and CS1. The special session will involve motivation, demonstration, and discussion with the audience of the assets of such an encapsulation. Attending CS educators will enrich their teaching perspectives, pedagogical tools, and assignment repertoires.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Hogg, R. V. and Tanis, E. A., Probability and Statistical Inference, Macmillan (2000). Von Savant, M., The Power of Logical Thinking, St. Martin Press (1996).


Collaborative Colleagues:
David Ginat: colleagues
Richard Anderson: colleagues
Daniel D. Garcia: colleagues
Richard Rasala: colleagues