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Applied Computer Science

  • Textbook
  • © 2012

Overview

Authors:
  1. Shane Torbert

    1. , Center for Computational, George Mason University, Fairfax, USA

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  • 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
  • Visualization is emphasized throughout with interactive graphics, image files, and plots of generated data
  • 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
  • Includes supplementary material: sn.pub/extras

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Table of contents (7 chapters)

  1. Front Matter

    Pages i-x
    Download chapter PDF

  2. Simulation

    • Shane Torbert
    Pages 1-32

  3. Graphics

    • Shane Torbert
    Pages 33-60

  4. Visualization

    • Shane Torbert
    Pages 61-90

  5. Efficiency

    • Shane Torbert
    Pages 91-116

  6. Recursion

    • Shane Torbert
    Pages 117-142

  7. Projects

    • Shane Torbert
    Pages 143-170

  8. Modeling

    • Shane Torbert
    Pages 171-200

  9. Back Matter

    Pages 201-201
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Keywords

About this book

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.

Reviews

From the reviews:

“There are many graphs and pseudocode listings in C++, Python, Fortran, Java, and other programming languages. … Teachers could use these to teach students the basics only, or they could add methodology to show students how to address a specific problem. Readers will find many numerical analysis examples that make the book friendlier to tactile learners who absorb knowledge by exploring the physical world around them. … high school students studying engineering, future graphic designers, and students … will benefit from reading this book.” (Jolanta Mizera-Pietraszko, ACM Computing Reviews, June, 2012)

Authors and Affiliations

  • , Center for Computational, George Mason University, Fairfax, USA

    Shane Torbert

Bibliographic Information

  • Book Title: Applied Computer Science

  • Authors: Shane Torbert

  • DOI: https://doi.org/10.1007/978-1-4614-1888-7

  • Publisher: Springer New York, NY

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer Science+Business Media, LLC 2012

  • Softcover ISBN: 978-1-4899-9033-4

  • eBook ISBN: 978-1-4614-1888-7

  • Edition Number: 1

  • Number of Pages: X, 202

  • Topics: Computer Science, general, Artificial Intelligence

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