Data Analytics for Engineering and Construction Project Risk Management (Record no. 75439)

000 -LEADER
fixed length control field 03688nam a22005655i 4500
001 - CONTROL NUMBER
control field 978-3-030-14251-3
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220801213641.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 190523s2020 sz | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783030142513
-- 978-3-030-14251-3
082 04 - CLASSIFICATION NUMBER
Call Number 690.06
100 1# - AUTHOR NAME
Author Damnjanovic, Ivan.
245 10 - TITLE STATEMENT
Title Data Analytics for Engineering and Construction Project Risk Management
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2020.
300 ## - PHYSICAL DESCRIPTION
Number of Pages XV, 379 p. 112 illus., 108 illus. in color.
490 1# - SERIES STATEMENT
Series statement Risk, Systems and Decisions,
505 0# - FORMATTED CONTENTS NOTE
Remark 2 1.Introduction to Risk and Uncertainty -- 2.Project Risk Management Framework -- 3.Project Data -- 4.Probability Theory Background -- 5.Project Planning and Estimating -- 6.Project Monitoring and Control -- 7.Case Studies and Implementation Framework.
520 ## - SUMMARY, ETC.
Summary, etc This book provides a step-by-step guidance on how to implement analytical methods in project risk management. The text focuses on engineering design and construction projects and as such is suitable for graduate students in engineering, construction, or project management, as well as practitioners aiming to develop, improve, and/or simplify corporate project management processes. The book places emphasis on building data-driven models for additive-incremental risks, where data can be collected on project sites, assembled from queries of corporate databases, and/or generated using procedures for eliciting experts’ judgments. While the presented models are mathematically inspired, they are nothing beyond what an engineering graduate is expected to know: some algebra, a little calculus, a little statistics, and, especially, undergraduate-level understanding of the probability theory. The book is organized in three parts and fourteen chapters. In Part I the authors provide the general introduction to risk and uncertainty analysis applied to engineering construction projects. The basic formulations and the methods for risk assessment used during project planning phase are discussed in Part II, while in Part III the authors present the methods for monitoring and (re)assessment of risks during project execution.
700 1# - AUTHOR 2
Author 2 Reinschmidt, Kenneth.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1007/978-3-030-14251-3
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Cham :
-- Springer International Publishing :
-- Imprint: Springer,
-- 2020.
336 ## -
-- text
-- txt
-- rdacontent
337 ## -
-- computer
-- c
-- rdamedia
338 ## -
-- online resource
-- cr
-- rdacarrier
347 ## -
-- text file
-- PDF
-- rda
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Construction industry—Management.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Security systems.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Project management.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Construction Management.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Security Science and Technology.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Project Management.
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
-- 2626-6725
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-- ZDB-2-ENG
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-- ZDB-2-SXE

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