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020			_a9783319299549
040			_aES-MaUEC
050		4	_aQA76 _b.B749 2016 EB
082	0	4	_a005.743
090			_aQA76 _b.B749 2016
100	1		_aBrewer, Kevin _0Local _998759
245	1	0	_aConcise Guide to Computing Foundations : _bCore Concepts and Select Scientific Applications _cby Kevin Brewer, Cathy Bareiss
260			_aCham _bSpringer International Publishing _c2016
300			_a1 recurso en línea (XV, 191 p.) _b76 ilustraciones, 41 ilustraciones en color
336			_aTexto (visual) _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
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.
710	2		_aSpringerLink (Online service) _0Local _9106996
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988	0	0	_aEBOOK, EBSPRINGER
650	0	7	_aOrdenadores _0LocalX _2embne _9138111
650	0	7	_aInformática _0LocalX _2embne _9139268
700	1		_aBareiss, Cathy _0Local _998760
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://link.springer.com/book/10.1007/978-3-319-29954-9 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
901			_ai9783319299549
907			_a.b1294922x _b10-10-17 _c21-11-16
998			_am _a_alco _a_vill _b - - _cm _dz _e- _feng _ggw _h0
945			_aQA76 .B749 2016 EB _g1 _ieBOOK _j0 _lmae _o- _pEUR0.00 _q- _r- _sb _t15 _u0 _v0 _w0 _x0 _y.i11614134 _z30-06-17
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