Using image processing to teach CS1 and CS2

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Using image processing to teach CS1 and CS2

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ACM SIGCSE Bulletin archive
Volume 35 , Issue 4 (December 2003) table of contents

COLUMN: Reviewed papers table of contents

Pages: 86 - 89

Year of Publication: 2003

ISSN:0097-8418

Author

Kenny Hunt

The University of Wisconsin - La Crosse, La Crosse, Wisconsin

Publisher

ACM New York, NY, USA

Bibliometrics

Downloads (6 Weeks): 15, Downloads (12 Months): 57, Citation Count: 6

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abstract references cited by collaborative colleagues

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ABSTRACT

The use of digital image processing techniques in undergraduate computer science curriculum has advantages in terms of motivating student interest and immediate, visual feedback of executed code. Although the standard Java distribution includes support for basic image processing operations, including the display of images, the complexity of the package renders it unsuitable for inexperienced programmers. This paper presents an extension to the built-in image processing package that is suitable for use in CS1 and CS2 courses and suggests ways that the package can be used to teach topics in these courses.

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.

	1	Efford, N. Digital Image Processing in Java, Addison-Wesley Longman Publishing Co., Inc, Boston, Ma, 2000
	2	Rafael C. Gonzalez , Richard E. Woods, Digital Image Processing, Addison-Wesley Longman Publishing Co., Inc., Boston, MA, 1992
	3	Java2 Platform Standard Edition 1.4 Release 2002. Sun Microsystems. http://java.sun.com/j2se.
	4	Joe Marks , William Freeman , Henry Leitner, Teaching applied computing without programming: a case-based introductory course for general education, Proceedings of the thirty-second SIGCSE technical symposium on Computer Science Education, p.80-84, February 2001, Charlotte, North Carolina, United States

CITED BY 6

	Kenny Hunt, A Java framework for experimentation with steganography, ACM SIGCSE Bulletin, v.37 n.1, 2005
	Richard Wicentowski , Tia Newhall, Using image processing projects to teach CS1 topics, ACM SIGCSE Bulletin, v.37 n.1, 2005
	Sarah Matzko , Timothy A. Davis, Teaching CS1 with graphics and C, ACM SIGCSE Bulletin, v.38 n.3, September 2006
	Sarah Matzko , Timothy Davis, Using graphics research to teach freshman computer science, ACM SIGGRAPH 2006 Educators program, July 30-August 03, 2006, Boston, Massachusetts
	Sarah Matzko , Timothy A. Davis, A graphics-based approach to data structures, Proceedings of the 13th annual conference on Innovation and technology in computer science education, June 30-July 02, 2008, Madrid, Spain
	Ali Erkan , Diyan Gochev, An image background detection project for a visual exploration of DFS and BFS, ACM SIGCSE Bulletin, v.40 n.1, March 2008

Collaborative Colleagues:

Kenny Hunt: colleagues

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