Explaining Algorithms Using Metaphors

There is a significant difference between designing a new algorithm, proving its correctness, and teaching it to an audience. When teaching algorithms, the teacher's main goal should be to convey the underlying ideas and to help the students form correct

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Michal Forišek · Monika Steinová

Explaining Algorithms Using Metaphors

SpringerBriefs in Computer Science

Series Editors Stan Zdonik Peng Ning Shashi Shekhar Jonathan Katz Xindong Wu Lakhmi C. Jain David Padua Xuemin Shen Borko Furht V. S. Subrahmanian Martial Hebert Katsushi Ikeuchi Bruno Siciliano

For further volumes: http://www.springer.com/series/10028

Michal Forišek Monika Steinová •

Explaining Algorithms Using Metaphors


Monika Steinová Department of Computer Science ETH Zürich Zurich Switzerland

Michal Forišek Department of Computer Science Comenius University Bratislava Slovakia

ISSN 2191-5768 ISBN 978-1-4471-5018-3 DOI 10.1007/978-1-4471-5019-0

ISSN 2191-5776 (electronic) ISBN 978-1-4471-5019-0 (eBook)

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Motivation Feynman was a truly great teacher. He prided himself on being able to devise ways to explain even the most profound ideas to beginning students. Once, I said to him, ‘‘Dick, explain to me, so that I can understand it, why spin one-half particles obey Fermi-Dirac statistics.’’ Sizing up his audience perfectly, Feynman said, ‘‘I’ll prepare a freshman lecture on i

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