What Every Engineer Should Know About Data-Driven Analytics

Author:   Satish Mahadevan Srinivasan (Penn State Great Valley, USA) ,  Phillip A. Laplante
Publisher:   Taylor & Francis Ltd
ISBN:  

9781032235431


Pages:   260
Publication Date:   13 April 2023
Format:   Hardback
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Our Price $273.00 Quantity:  
Add to Cart

Share |

What Every Engineer Should Know About Data-Driven Analytics


Add your own review!

Overview

Full Product Details

Author:   Satish Mahadevan Srinivasan (Penn State Great Valley, USA) ,  Phillip A. Laplante
Publisher:   Taylor & Francis Ltd
Imprint:   CRC Press
Weight:   0.453kg
ISBN:  

9781032235431


ISBN 10:   1032235438
Pages:   260
Publication Date:   13 April 2023
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

Reviews

Author Information

Satish M. Srinivasan received his B.E. in Information Technology from Bharathidasan University, India and M.S. in Industrial Engineering and Management from the Indian Institute of Technology Kharagpur, India. He earned his Ph.D. in Information Technology from the University of Nebraska at Omaha. Prior to joining Penn State Great Valley, he worked as a postdoctoral research associate at University of Nebraska Medical Center, Omaha. Dr. Srinivasan teaches courses related to database design, data mining, data collection and cleaning, computer, network and web securities, and business process management. His research interests include data aggregation in partially connected networks, fault-tolerance, software engineering, social network analysis, data mining, machine learning, Big Data, and predictive analytics and bioinformatics. Phil Laplante is Professor of Software and Systems Engineering at The Pennsylvania State University. He received his B.S., M.Eng., and Ph.D. from Stevens Institute of Technology and an MBA from the University of Colorado. He is a Fellow of the IEEE and SPIE and has won international awards for his teaching, research, and service. From 2010 to 2017 he led the effort to develop a national licensing exam for software engineers. He has worked in avionics, CAD, and software testing systems and he has published 40 books and more than 300 scholarly papers. He is a licensed professional engineer in the Commonwealth of Pennsylvania. He is also a frequent technology advisor to senior executives, investors, entrepreneurs, and attorneys and actively serves on corporate technology advisory boards. His research interests include artificial intelligent systems, critical systems, requirements engineering, and software quality and management. Prior to his appointment at Penn State he was a software development professional, technology executive, college president, and entrepreneur.

Tab Content 6

Author Website:  

Customer Reviews

Recent Reviews

No review item found!

Add your own review!

Countries Available

All regions
Latest Reading Guide

lgn

al

Shopping Cart
Your cart is empty
Shopping cart
Mailing List