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Explaining Algorithms Using Metaphors electronic resource by Michal Forišek, Monika Steinová.

By: Forišek, Michal [author.]Contributor(s): Steinová, Monika [author.] | SpringerLink (Online service)Material type: TextTextSeries: SpringerBriefs in Computer SciencePublication details: London : Springer London : Imprint: Springer, 2013Description: X, 94 p. 59 illus. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9781447150190Subject(s): Computer Science | education | Science -- Study and teaching | Computer Science | Computers and Education | Science EducationDDC classification: 374.26 LOC classification: LB1028.43-1028.75Online resources: Click here to access online
Contents:
Introduction -- Graph Algorithms -- Computational Geometry -- Strings and Sequences -- Solutions to Exercises.
In: Springer eBooksSummary: 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 mental models related to the algorithm. This process can often be facilitated by using suitable metaphors. This work provides a set of novel metaphors identified and developed as suitable tools for teaching many of the "classic textbook" algorithms taught in undergraduate courses worldwide. Each chapter provides exercises and didactic notes for teachers based on the authors’ experiences when using the metaphor in a classroom setting.
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Introduction -- Graph Algorithms -- Computational Geometry -- Strings and Sequences -- Solutions to Exercises.

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 mental models related to the algorithm. This process can often be facilitated by using suitable metaphors. This work provides a set of novel metaphors identified and developed as suitable tools for teaching many of the "classic textbook" algorithms taught in undergraduate courses worldwide. Each chapter provides exercises and didactic notes for teachers based on the authors’ experiences when using the metaphor in a classroom setting.

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