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Concise guide to computing foundatio...

Brewer, Kevin.

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Concise guide to computing foundations = core concepts and select scientific applications /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Concise guide to computing foundations/ by Kevin Brewer, Cathy Bareiss.
Reminder of title:	core concepts and select scientific applications /
Author:	Brewer, Kevin.
other author:	Bareiss, Cathy.
Published:	Cham :Springer International Publishing : : 2016.,
Description:	xv, 191 p. :ill., digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer eBooks
Subject:	Computer science. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-29954-9
ISBN:	9783319299549$q(electronic bk.)

Concise guide to computing foundations = core concepts and select scientific applications /
Brewer, Kevin.

Concise guide to computing foundationscore concepts and select scientific applications /[electronic resource] :by Kevin Brewer, Cathy Bareiss. - Cham :Springer International Publishing :2016. - xv, 191 p. :ill., digital ;24 cm.

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.

This unique textbook pioneers a new approach to educating the general student about computing to practically address the needs of today's society. This approach provides an accessible introduction to the key concepts in computer science and how these are applied to support other areas of science, highlighting the important interconnections between the different disciplines. Topics and features: Provides a strong interdisciplinary introduction to computational science Discusses such issues as the use of computer simulations, the limits of precision in a computer, and the amount of work performed by software to complete a task Covers the cross-disciplinary application of data representation, algorithms, self-defining data, and performance complexity Examines the close links between computer science and such scientific and engineering fields as bioinformatics, chemical kinetics, hydrogeological modeling, and mechanics of materials Describes the contributions of computer science to engineering analysis, GIS, flow analysis, solving equations, curve fitting, optimization, and data acquisition Contains review questions, exercises, and discussion prompts throughout the text, together with chapter objectives and an appendix on using LabQuest This classroom-tested and activity-based textbook has been developed for teaching second-semester freshmen and sophomore non-computer science STEM majors, structured around a discovery learning approach. The work is also ideal for self-teaching. 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.

ISBN: 9783319299549$q(electronic bk.)

Standard No.: 10.1007/978-3-319-29954-9doiSubjects--Topical Terms:

523869
Computer science.

LC Class. No.: QA76

Dewey Class. No.: 005.743

Concise guide to computing foundations = core concepts and select scientific applications /
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505 0 $a 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.
520 $a This unique textbook pioneers a new approach to educating the general student about computing to practically address the needs of today's society. This approach provides an accessible introduction to the key concepts in computer science and how these are applied to support other areas of science, highlighting the important interconnections between the different disciplines. Topics and features: Provides a strong interdisciplinary introduction to computational science Discusses such issues as the use of computer simulations, the limits of precision in a computer, and the amount of work performed by software to complete a task Covers the cross-disciplinary application of data representation, algorithms, self-defining data, and performance complexity Examines the close links between computer science and such scientific and engineering fields as bioinformatics, chemical kinetics, hydrogeological modeling, and mechanics of materials Describes the contributions of computer science to engineering analysis, GIS, flow analysis, solving equations, curve fitting, optimization, and data acquisition Contains review questions, exercises, and discussion prompts throughout the text, together with chapter objectives and an appendix on using LabQuest This classroom-tested and activity-based textbook has been developed for teaching second-semester freshmen and sophomore non-computer science STEM majors, structured around a discovery learning approach. The work is also ideal for self-teaching. 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.
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