Skip to main content

Concise Guide to Computing Foundations

Core Concepts and Select Scientific Applications

  • Textbook
  • © 2016

Overview

  • 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
  • 11k Accesses

This is a preview of subscription content, log in via an institution to check access.

Access this book

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

Licence this eBook for your library

Institutional subscriptions

Table of contents (14 chapters)

Keywords

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

Publish with us