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Applied Computer Science /

By: Material type: TextTextPublication details: USA Springer 2016Edition: 2nd ed. 2016Description: 1 online resource (XII, 279 pages 201 illustrations, 84 illustrations in color.)ISBN:
  • 9783319308661
Subject(s): DDC classification:
  • 004 TOR.A
Contents:
Simulation -- Graphics -- Visualizations -- Efficiency -- Recursion -- Projects -- Modeling, Part I -- Modeling, Part II -- Postscript.
Summary: The second edition of this introductory text includes an expanded treatment of collisions, agent-based models, and insight into underlying system dynamics. 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 eight chapters where each chapter contains three problems and each problem develops five 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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Holdings
Item type Current library Home library Call number Status Date due Barcode
Book Book Dept. of Mathematics Processing Center Dept. of Mathematics 004 TOR.A (Browse shelf(Opens below)) Available MAT7656

Simulation -- Graphics -- Visualizations -- Efficiency -- Recursion -- Projects -- Modeling, Part I -- Modeling, Part II -- Postscript.

The second edition of this introductory text includes an expanded treatment of collisions, agent-based models, and insight into underlying system dynamics. 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 eight chapters where each chapter contains three problems and each problem develops five 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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