EducationTeaching computing to everyone

ABSTRACT

Studying the lessons learned from creating high-demand computer science courses for non-computing majors.

REFERENCES

• 1: Jens Bennedsen , Michael E. Caspersen, Failure rates in introductory programming, ACM SIGCSE Bulletin, v.39 n.2, June 2007 [doi>10.1145/1272848.1272879]
• 2: Commission on Technology, Gender, and Teacher Education. Tech Savvy: Educating Girls in the New Computer Age, American Association of University Women, 2000.
• 3: Committee on Information Technology Literacy National Research Council. Being Fluent with Information Technology. The National Academies Press, 1999.
• 4: Matthias Felleisen , Robert Bruce Findler , Matthew Flatt , Shriram Krishnamurthi, How to design programs: an introduction to programming and computing, MIT Press, Cambridge, MA, 2001
• 5: Guzdial, M. Introduction to Computing and Programming in Python, A Multimedia Approach, Prentice Hall, 2005.
• 6: Margolis, J. and Fisher, A. Unlocking the Clubhouse: Women in Computing. MIT Press, 2001.
• 7: Russell L. Shackelford, Introduction to Computing and Algorithms, Addison-Wesley Longman Publishing Co., Inc., Boston, MA, 1997
• 8: Robert H. Sloan , Patrick Troy, CS 0.5: a better approach to introductory computer science for majors, ACM SIGCSE Bulletin, v.40 n.1, March 2008
• 9: David Smith, Engineering Computation with MATLAB, Addison-Wesley Longman Publishing Co., Inc., Boston, MA, 2007

INDEX TERMS

Primary Classification:
  K. Computing Milieux
  K.3 COMPUTERS AND EDUCATION
      K.3.1 Computer Uses in Education

Additional Classification:
  K. Computing Milieux
  K.3 COMPUTERS AND EDUCATION
      K.3.2 Computer and Information Science Education
  K.4 COMPUTERS AND SOCIETY
      K.4.2 Social Issues