Data Science for Civil Engineering
eBook - ePub

Data Science for Civil Engineering

A Beginner's Guide

  1. 236 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

About this book

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.

Frequently asked questions

Yes, you can cancel anytime from the Subscription tab in your account settings on the Perlego website. Your subscription will stay active until the end of your current billing period. Learn how to cancel your subscription.
No, books cannot be downloaded as external files, such as PDFs, for use outside of Perlego. However, you can download books within the Perlego app for offline reading on mobile or tablet. Learn more here.
Perlego offers two plans: Essential and Complete
  • Essential is ideal for learners and professionals who enjoy exploring a wide range of subjects. Access the Essential Library with 800,000+ trusted titles and best-sellers across business, personal growth, and the humanities. Includes unlimited reading time and Standard Read Aloud voice.
  • Complete: Perfect for advanced learners and researchers needing full, unrestricted access. Unlock 1.4M+ books across hundreds of subjects, including academic and specialized titles. The Complete Plan also includes advanced features like Premium Read Aloud and Research Assistant.
Both plans are available with monthly, semester, or annual billing cycles.
We are an online textbook subscription service, where you can get access to an entire online library for less than the price of a single book per month. With over 1 million books across 1000+ topics, we’ve got you covered! Learn more here.
Look out for the read-aloud symbol on your next book to see if you can listen to it. The read-aloud tool reads text aloud for you, highlighting the text as it is being read. You can pause it, speed it up and slow it down. Learn more here.
Yes! You can use the Perlego app on both iOS or Android devices to read anytime, anywhere — even offline. Perfect for commutes or when you’re on the go.
Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.
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.

Information

Table of contents

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