Data Science for Civil Engineering

by Rakesh K. Jain, Prashant Shantaram Dhotre, Deepak Tatyasaheb Mane, Parikshit Narendra Mahalle

Data Science for Civil Engineering explains use of data science-based techniques for modeling and providing optimal solutions to complex problems in civil engineering.

IData Science for Civil Engineering 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.

Data Science for Civil Engineering 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.

With advancements in broadband technology and the semiconductor industry, the cost of the Internet and sensory devices is decreasing at a faster rate.

The Internet is getting cheaper and faster day by day, resulting in a reduction in the cost of Internet connectivity.

Due to the transformation, more devices are connected to the Internet and are causing data overflow i.e., big data.

Fortunately, database management systems i.e., extracting, transforming, and loading the data are mature and the main challenge today is how to make sense of this big data.