Concise Guide to Computing Foundations

Core Concepts and Select Scientific Applications

AvKevin Brewer,Cathy Bareiss

Häftad, Engelska, 2018

502 kr

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Beskrivning

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.

Produktinformation

Utgivningsdatum:2018-06-16
Mått:155 x 235 x 12 mm
Vikt:324 g
Format:Häftad
Språk:Engelska
Antal sidor:191
Förlag:Springer International Publishing AG
ISBN:9783319806945

Utforska kategorier

Systemvetenskap och AI inom Data och IT
Fysikalisk kemi inom Naturvetenskap och teknik
Biovetenskap inom Naturvetenskap och teknik

Mer om författaren

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.

Innehållsförteckning

Introduction to Computational Science.- Types of Visualization and Modeling.- Data Types: Representation, Abstraction, Limitations.- Scientific Data Acquisition.- Procedures: Algorithms and Abstraction.- Solving Equations.- Iterative Solutions.- Solving Sets of Equations.- Procedures: Performance and Complexity.- Self-Defining Data: Compression, XML and Databases.- Searching.- Curve Fitting.- Optimization.- Data Organization and Analysis.- Appendix A: NetLogo.- Appendix B: LabQuest.- Appendix C: GIS.

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