Read While You Wait - Get immediate ebook access, if available*, when you order a print book

cover

Probability, Random Variables, and Data Analytics with Engineering Applications

Authors: Shankar, P. Mohana

  • Bridges the gap between conceptual topics and data analytics through appropriate examples and exercises
  • Features 100’s of exercises comprising of traditional analytical ones and others based on data sets relevant to machine vision, machine learning and medical diagnostics
  • Intersperses analytical approaches with computational ones, providing two-level verifications of a majority examples and exercises
see more benefits

Buy this book

eBook $79.99
price for USA in USD
  • The eBook version of this title will be available soon
  • Due: January 22, 2021
  • ISBN 978-3-030-56259-5
  • Digitally watermarked, DRM-free
  • Included format:
  • ebooks can be used on all reading devices
Hardcover $99.99
price for USA in USD
  • Customers within the U.S. and Canada please contact Customer Service at +1-800-777-4643, Latin America please contact us at +1-212-460-1500 (24 hours a day, 7 days a week). Pre-ordered printed titles are excluded from promotions.
  • Due: December 25, 2020
  • ISBN 978-3-030-56258-8
  • Free shipping for individuals worldwide. Please be advised Covid-19 shipping restrictions apply. Please review prior to ordering.
  • Immediate ebook access, if available*, with your print order
About this Textbook

This book bridges the gap between theory and applications that currently exist in undergraduate engineering probability textbooks. It offers examples and exercises using data (sets) in addition to traditional analytical and conceptual ones. Conceptual topics such as one and two random variables, transformations, etc. are presented with a focus on applications. Data analytics related portions of the book offer detailed coverage of receiver operating characteristics curves, parametric and nonparametric hypothesis testing, bootstrapping, performance analysis of machine vision and clinical diagnostic systems, and so on. With Excel spreadsheets of data provided, the book offers a balanced mix of traditional topics and data analytics expanding the scope, diversity, and applications of engineering probability. This makes the contents of the book relevant to current and future applications students are likely to encounter in their endeavors after completion of their studies. A full suite of classroom material is included. A solutions manual is available for instructors.

  • Bridges the gap between conceptual topics and data analytics through appropriate examples and exercises;
  • Features 100's of exercises comprising of traditional analytical ones and others based on data sets relevant to machine vision, machine learning and medical diagnostics;
  • Intersperses analytical approaches with computational ones, providing two-level verifications of a majority of examples and exercises.

About the authors

Dr. P. Mohana Shankar received his PhD from the Indian Institute of Technology, Delhi in Electrical Engineering in 1980. He joined Drexel in 1982 and since 2001, he has been the Allen Rothwarf Professor in the Department of Electrical and Computer Engineering at Drexel University. He is also an Adjunct Professor at Thomas Jefferson University in Philadelphia since 1998. He has held several positions at Drexel including Interim Department Head, Electrical Engineering; Director, Graduate Programs, College of Engineering, and Program Director, Telecommunications Engineering. He was the recipient of the 2005-2006 Christian R. and Mary F. Lindback Foundation Award for Distinguished Teaching and the 21018-2019 University Award for Pedagogy and Assessment. He developed several courses and laboratories in fiber optics, wireless communications, probability, etc. . He has taught numerous courses at both the graduate and undergraduate level. He has published several books, including two at Springer and published  several papers in journals and conference proceedings in the areas of fiber sensors, wireless communications, ultrasonic imaging, ultrasonic nondestructive testing, ultrasonic contrast agents, ultrasonic tissue characterization and pedagogy.  During the past few years, he has published extensively in pedagogy devoted to the use of computations tools in undergraduate engineering courses in differential equations, linear algebra, wireless, probability and data analytics.


Buy this book

eBook $79.99
price for USA in USD
  • The eBook version of this title will be available soon
  • Due: January 22, 2021
  • ISBN 978-3-030-56259-5
  • Digitally watermarked, DRM-free
  • Included format:
  • ebooks can be used on all reading devices
Hardcover $99.99
price for USA in USD
  • Customers within the U.S. and Canada please contact Customer Service at +1-800-777-4643, Latin America please contact us at +1-212-460-1500 (24 hours a day, 7 days a week). Pre-ordered printed titles are excluded from promotions.
  • Due: December 25, 2020
  • ISBN 978-3-030-56258-8
  • Free shipping for individuals worldwide. Please be advised Covid-19 shipping restrictions apply. Please review prior to ordering.
  • Immediate ebook access, if available*, with your print order
Loading...

Recommended for you

Loading...

Bibliographic Information

Bibliographic Information
Book Title
Probability, Random Variables, and Data Analytics with Engineering Applications
Authors
Copyright
2021
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-030-56259-5
DOI
10.1007/978-3-030-56259-5
Hardcover ISBN
978-3-030-56258-8
Edition Number
1
Number of Pages
IX, 493
Number of Illustrations
4 b/w illustrations, 202 illustrations in colour
Topics

*immediately available upon purchase as print book shipments may be delayed due to the COVID-19 crisis. ebook access is temporary and does not include ownership of the ebook. Only valid for books with an ebook version. Springer Reference Works and instructor copies are not included.