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Applied Computer Science [electronic resource] / by Shane Torbert.

By: Torbert, Shane [author.].
Contributor(s): SpringerLink (Online service).
Material type: materialTypeLabelBookPublisher: New York, NY : Springer New York, 2012Description: X, 202 p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9781461418887.Subject(s): Computer science | Electronic data processing | Computer Science | Computer Science, general | Computing MethodologiesDDC classification: 004 Online resources: Click here to access online
Contents:
Simulation -- Graphics -- Visualization -- Efficiency -- Recursion -- Projects -- Modeling -- Postscript.
In: Springer eBooksSummary: Applied Computer Science presents a unique approach for introductory courses that will engage students with relevant topics from a variety of disciplines, encourage their natural creativity, and prepare them for independent projects. Lab assignments are accessible and carefully sequenced for maximum impact. Students are able to write their own code in building solutions and Python is used to minimize any language barrier for beginners. Problems involving visualization are emphasized throughout with interactive graphics, image files, and plots of generated data. This text aims to establish a core learning experience around which any number of other learning objectives could be included. The text is presented in seven (7) chapters where each chapter contains three (3) problems and each problem develops five (5) specific lab assignments, plus additional questions and discussion. This approach seeks to leverage the immediate feedback provided by the computer to help students as they work toward writing code creatively. All labs will scale to available hardware and free software could be used for the entire course, if desired.
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Simulation -- Graphics -- Visualization -- Efficiency -- Recursion -- Projects -- Modeling -- Postscript.

Applied Computer Science presents a unique approach for introductory courses that will engage students with relevant topics from a variety of disciplines, encourage their natural creativity, and prepare them for independent projects. Lab assignments are accessible and carefully sequenced for maximum impact. Students are able to write their own code in building solutions and Python is used to minimize any language barrier for beginners. Problems involving visualization are emphasized throughout with interactive graphics, image files, and plots of generated data. This text aims to establish a core learning experience around which any number of other learning objectives could be included. The text is presented in seven (7) chapters where each chapter contains three (3) problems and each problem develops five (5) specific lab assignments, plus additional questions and discussion. This approach seeks to leverage the immediate feedback provided by the computer to help students as they work toward writing code creatively. All labs will scale to available hardware and free software could be used for the entire course, if desired.

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