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  • Textbook
  • © 2016

Concise Guide to Computing Foundations

Core Concepts and Select Scientific Applications

  • Provides self-guided modules that allow students to learn independently
  • Explains the computer science fundamentals used by science software
  • Presents content that can be integrated into a range of different introductory courses in science
  • Includes supplementary material: sn.pub/extras
  • Request lecturer material: sn.pub/lecturer-material
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Table of contents (14 chapters)

  1. Front Matter

    Pages i-xv
  2. Introduction to Computational Science

    • Kevin Brewer, Cathy Bareiss
    Pages 1-8
  3. Types of Visualization and Modeling

    • Kevin Brewer, Cathy Bareiss
    Pages 9-20
  4. Data Types: Representation, Abstraction, Limitations

    • Kevin Brewer, Cathy Bareiss
    Pages 21-38
  5. Scientific Data Acquisition

    • Kevin Brewer, Cathy Bareiss
    Pages 39-44
  6. Procedures: Algorithms and Abstraction

    • Kevin Brewer, Cathy Bareiss
    Pages 45-57
  7. Solving Equations

    • Kevin Brewer, Cathy Bareiss
    Pages 59-63
  8. Iterative Solutions

    • Kevin Brewer, Cathy Bareiss
    Pages 65-81
  9. Solving Sets of Equations

    • Kevin Brewer, Cathy Bareiss
    Pages 83-95
  10. Procedures: Performance and Complexity

    • Kevin Brewer, Cathy Bareiss
    Pages 97-107
  11. Self-Defining Data: Compression, XML and Databases

    • Kevin Brewer, Cathy Bareiss
    Pages 109-118
  12. Searching

    • Kevin Brewer, Cathy Bareiss
    Pages 119-127
  13. Curve Fitting

    • Kevin Brewer, Cathy Bareiss
    Pages 129-134
  14. Optimization

    • Kevin Brewer, Cathy Bareiss
    Pages 135-149
  15. Data Organization and Analysis

    • Kevin Brewer, Cathy Bareiss
    Pages 151-157
  16. Back Matter

    Pages 159-191

About this book

This book will help future scientists to become more intelligent users of computing technology in their practice of science. The content is suitable for introductory courses on the foundations of computing and the specific application of computers in different areas of science. The text presents a set of modules for use in existing science courses in order to integrate individual aspects of computational thinking, as well as a set of modules introducing the computer science concepts needed to understand the computing involved. These modules guide science students in their independent learning. The book covers computing applications in such diverse areas as bioinformatics, chemical kinetics, hydrogeological modeling, and mechanics of materials, geographic information systems, flow analysis, the solving of equations, curve fitting, optimization, and scientific data acquisition. The computing topics covered include simulations, errors, data representation, algorithms, XMS, compression, databases, performance, and complexity.

Authors and Affiliations

  • Olivet Nazarene University Engineering, Bourbonnais, IL, USA

    Kevin Brewer

  • Olivet Nazarene University Computer Science, Bourbonnais, IL, USA

    Cathy Bareiss

About the authors

Dr. Kevin Brewer is Co-Chair and Professor in the Department of Engineering in the Walker School of Engineering at Olivet Nazarene University, Bourbonnais, IL, USA.

Dr. Cathy Bareiss is a Professor of Computer Science at the same institution.

Bibliographic Information

Buy it now

Buying options

eBook USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 49.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 49.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access