This book explains use of data science-based techniques for modeling and providing optimal solutions to complex problems in civil engineering. It discusses civil engineering problems like air, water and land pollution, climate crisis, transportation infrastructures, traffic and travel modes, mobility services, and so forth. Divided into two sections, the first one deals with the basics of data science and essential mathematics while the second section covers pertinent applications in structural and environmental engineering, construction management, and transportation.

Features:

Details information on essential mathematics required to implement civil engineering applications using data science techniques.

Discusses broad background of data science and its fundamentals.

Focusses on structural engineering, transportation systems, water resource management, geomatics, and environmental engineering.

Includes python programming libraries to solve complex problems.

Addresses various real-world applications of data science based civil engineering use cases.

This book aims at senior undergraduate students in Civil Engineering and Applied Data Science.

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Index

Cover
Half Title
Title Page
Copyright Page
Contents
About the Authors
Preface
Chapter 1 Introduction
Chapter 2 Mathematical Foundation for Data Science
Chapter 3 Data Analytics for Environmental Engineering
Chapter 4 Structural Engineering: Trends, Applications, and Advances
Chapter 5 Application of Data Science in Transportation Systems
Chapter 6 Data Analytics for Water Resource Engineering
Chapter 7 Data Analysis in Geomatics
Chapter 8 Conclusions
Index

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Yes, you can access Data Science for Civil Engineering by Rakesh K. Jain,Prashant Shantaram Dhotre,Deepak Tatyasaheb Mane,Parikshit Narendra Mahalle in PDF and/or ePUB format, as well as other popular books in Computer Science & Arithmetic. We have over one million books available in our catalogue for you to explore.

About this book

Trusted by 375,005 students

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