(EBOOK PDF)Data Analytics for Engineering and Construction Project Risk Management 1st edition by Ivan Damnjanovic, Kenneth Reinschmidt ISBN 3030142507 978-3030142506 full chapters

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Product details: 

ISBN 10: 3030142507 

ISBN 13: 978-3030142506

Author: Ivan Damnjanovic, Kenneth Reinschmidt

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 theauthors 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.

Table of contents: 

Introduction to Uncertainty and Risk

Forecasting with Learning Curve Models

Ivan Damnjanovic, Kenneth Reinschmidt

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