Algorithm analysis for returning adult students

Authors:
Kelvin Sung;Peter Shirley
Affiliations:
University of Washington, Bothell, WA;University of Utah, Salt Lake City, UT
Venue:
Journal of Computing Sciences in Colleges
Year:
2004

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Abstract

Returning adult students typically have expectations of gaining both near-term applicable skill sets and long-term foundational concepts from their courses. Most Algorithm Analysis classes are designed for traditional students and do not have teaching practical skill set as one of their major goals. This paper describes an attempt to meet the expectations of both applicable skills and foundational concepts in an Algorithm Analysis class. The class emphasizes implementation and experimentation while covering concepts supporting students' future self-learning. We also present our approach to support the teaching of this highly demanding course to students with busy life schedules.