Overview
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
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (5 chapters)
Keywords
About this book
- 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.
Authors and Affiliations
About the author
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.
Bibliographic Information
Book Title: Probability, Random Variables, and Data Analytics with Engineering Applications
Authors: P. Mohana Shankar
DOI: https://doi.org/10.1007/978-3-030-56259-5
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer Nature Switzerland AG 2021
Hardcover ISBN: 978-3-030-56258-8Published: 09 February 2021
Softcover ISBN: 978-3-030-56261-8Published: 09 February 2022
eBook ISBN: 978-3-030-56259-5Published: 08 February 2021
Edition Number: 1
Number of Pages: XII, 473
Number of Illustrations: 4 b/w illustrations, 202 illustrations in colour
Topics: Communications Engineering, Networks, Mathematical and Computational Engineering, Probability Theory and Stochastic Processes, Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences