000 04168nam a22005535i 4500
001 978-3-319-29954-9
003 DE-He213
005 20200421111205.0
007 cr nn 008mamaa
008 160930s2016 gw | s |||| 0|eng d
020 _a9783319299549
_9978-3-319-29954-9
024 7 _a10.1007/978-3-319-29954-9
_2doi
050 4 _aQA75.5-76.95
072 7 _aUY
_2bicssc
072 7 _aCOM069000
_2bisacsh
072 7 _aCOM032000
_2bisacsh
082 0 4 _a005.743
_223
100 1 _aBrewer, Kevin.
_eauthor.
245 1 0 _aConcise Guide to Computing Foundations
_h[electronic resource] :
_bCore Concepts and Select Scientific Applications /
_cby Kevin Brewer, Cathy Bareiss.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2016.
300 _aXV, 191 p. 76 illus., 41 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aIntroduction 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 _aThis 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.
650 0 _aComputer science.
650 0 _aChemoinformatics.
650 0 _aComputers.
650 0 _aGeographical information systems.
650 0 _aBioinformatics.
650 0 _aComputational biology.
650 0 _aComputer mathematics.
650 1 4 _aComputer Science.
650 2 4 _aModels and Principles.
650 2 4 _aComputer Appl. in Life Sciences.
650 2 4 _aComputer Applications in Chemistry.
650 2 4 _aComputational Mathematics and Numerical Analysis.
650 2 4 _aGeographical Information Systems/Cartography.
700 1 _aBareiss, Cathy.
_eauthor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783319299525
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-319-29954-9
912 _aZDB-2-SCS
942 _cEBK
999 _c54089
_d54089