Modeling and simulation in the systems engineering life cycle : core concepts and accompanying lectures /

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Bibliographic Details
Imprint:London : Springer, 2015.
Description:1 online resource : illustrations (chiefly color).
Language:English
Series:Simulation foundations, methods and applications, 2195-2825
Simulation foundations, methods and applications.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/13582748
Hidden Bibliographic Details
Other authors / contributors:Loper, Margaret L., editor.
ISBN:9781447156345
144715634X
9781447156338
1447156331
9781447156352
1447156358
9781447170358
1447170350
Digital file characteristics:text file PDF
Notes:Includes bibliographical references and index.
English.
Online resource; title from PDF title page (Ebsco, viewed May 5, 2015).
Summary:This easy to read text/reference provides a broad introduction to the fundamental concepts of modeling and simulation (M & S) and systems engineering, highlighting how M & S is used across the entire systems engineering lifecycle. Each chapter corresponds to a short lecture covering a core topic in M & S or systems engineering. Topics and features: · Reviews the full breadth of technologies, methodologies and uses of M & S, rather than just focusing on a specific aspect of the field · Presents contributions from renowned specialists in each topic covered · Introduces the foundational elements and processes that serve as the groundwork for understanding M & S · Explores common methods and methodologies used in M & S, explaining the difference between these two similar sounding terms · Discusses how best to design and execute experiments, covering the use of Monte Carlo techniques, surrogate modeling, and distributed simulation · Explores the use of M & S throughout the systems development lifecycle, describing a number of methods, techniques, and tools available to support systems engineering processes · Provides a selection of case studies illustrating the use of M & S in systems engineering across a variety of domains Designed to support both professional and undergraduate education in M & S, this helpful and authoritative work presents a comprehensive overview of the discipline, with an emphasis on the key concepts that systems engineers need to understand in order to be effective in their jobs. Dr. Margaret L. Loper is a Chief Scientist in the Information & Communications Laboratory at Georgia Tech Research Institute, Atlanta, GA, USA.
This easy to read text/reference provides a broad introduction to the fundamental concepts of modeling and simulation (M&S) and systems engineering, highlighting how M&S is used across the entire systems engineering lifecycle. Each chapter corresponds to a short lecture covering a core topic in M&S or systems engineering. Topics and features: � Reviews the full breadth of technologies, methodologies and uses of M&S, rather than just focusing on a specific aspect of the field � Presents contributions from renowned specialists in each topic covered � Introduces the foundational elements and processes that serve as the groundwork for understanding M&S � Explores common methods and methodologies used in M&S, explaining the difference between these two similar sounding terms � Discusses how best to design and execute experiments, covering the use of Monte Carlo techniques, surrogate modeling, and distributed simulation � Explores the use of M&S throughout the systems development lifecycle, describing a number of methods, techniques, and tools available to support systems engineering processes � Provides a selection of case studies illustrating the use of M&S in systems engineering across a variety of domains Designed to support both professional and undergraduate education in M&S, this helpful and authoritative work presents a comprehensive overview of the discipline, with an emphasis on the key concepts that systems engineers need to understand in order to be effective in their jobs. Dr. Margaret L. Loper is a Chief Scientist in the Information & Communications Laboratory at Georgia Tech Research Institute, Atlanta, GA, USA.
Other form:Printed edition: 9781447156338
Standard no.:10.1007/978-1-4471-5634-5