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Probability in Electrical Engineering and Computer Science

An Application-Driven Course

Authors: Walrand, Jean

  • Showcases techniques of applied probability with applications in EE and CS
  • Presents all topics with concrete applications so students see the relevance of the theory
  • Illustrates methods with Jupyter notebooks that use widgets to enable the users to modify parameters 
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Buy this book

eBook $139.00
price for USA in USD
  • The eBook version of this title will be available soon
  • Due: June 7, 2021
  • ISBN 978-3-030-49995-2
  • Digitally watermarked, DRM-free
  • Included format:
  • ebooks can be used on all reading devices
Hardcover $179.00
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: May 10, 2021
  • ISBN 978-3-030-49994-5
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Please be advised Covid-19 shipping restrictions apply. Please review prior to ordering
About this Textbook

​This revised textbook motivates and illustrates the techniques of applied probability by applications in electrical engineering and computer science (EECS). The author presents information processing and communication systems that use algorithms based on probabilistic models and techniques, including web searches, digital links, speech recognition, GPS, route planning, recommendation systems, classification, and estimation. He then explains how these applications work and, along the way, provides the readers with the understanding of the key concepts and methods of applied probability. Python labs enable the readers to experiment and consolidate their understanding. The book includes homework, solutions, and Jupyter notebooks. This edition includes new topics such as Boosting, Multi-armed bandits, statistical tests, social networks, queuing networks, and neural networks. The companion website now has many examples of Python demos and also Python labs used in Berkeley.

About the authors

Jean Camille Walrand is a professor emeritus of Electrical Engineering and Computer Science at UC Berkeley. He received his Ph.D. from the Department of Electrical Engineering and Computer Sciences department at the University of California, Berkeley, and has been on the faculty of that department since 1982. He is the author of "An Introduction to Queueing Networks" (Prentice Hall, 1988), "Communication Networks: A First Course" (2nd ed. McGraw-Hill,1998), and “Uncertainty: A User Guide” (Amazon, 2019) and co-author of "High-Performance Communication Networks" (2nd ed, Morgan Kaufmann, 2000), "Communication Networks: A Concise Introduction" (2nd ed, Morgan & Claypool, 2017),  "Scheduling and Congestion Control for Communication and Processing networks" (Morgan & Claypool, 2010), and “Sharing Network Resources” (Morgan & Claypool, 2014). His research interests include stochastic processes, queuing theory, communication networks, game theory, and the economics of the Internet. Walrand has received numerous awards for his work over the years. He is a Fellow of the Belgian American Education Foundation and of the IEEE. Additionally, he is a recipient of the Lanchester Prize, the Stephen O. Rice Prize., the IEEE Kobayashi Award, and the ACM SIGMETRICS Achievement Award.

Buy this book

eBook $139.00
price for USA in USD
  • The eBook version of this title will be available soon
  • Due: June 7, 2021
  • ISBN 978-3-030-49995-2
  • Digitally watermarked, DRM-free
  • Included format:
  • ebooks can be used on all reading devices
Hardcover $179.00
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: May 10, 2021
  • ISBN 978-3-030-49994-5
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Please be advised Covid-19 shipping restrictions apply. Please review prior to ordering
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Bibliographic Information

Bibliographic Information
Book Title
Probability in Electrical Engineering and Computer Science
Book Subtitle
An Application-Driven Course
Authors
Copyright
2020
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-030-49995-2
DOI
10.1007/978-3-030-49995-2
Hardcover ISBN
978-3-030-49994-5
Edition Number
1
Number of Pages
XXI, 376
Number of Illustrations
69 b/w illustrations, 145 illustrations in colour
Topics