Probability in Electrical Engineering and Computer Science by Jean Walrand
Probability in Electrical Engineering and Computer Science - Table of Contents
1. PageRank: A
2. PageRank: B
3. Multiplexing: A
4. Multiplexing: B
5. Networks: A
6. Networks: B
7. Digital Link: A
8. Digital Link: B
9. Tracking: A
10. Tracking: B
11. Speech Recognition: A
12. Speech Recognition: B
13. Route Planning: A
14. Route Planning: B
15. Perspective and Complements
A. Elementary Probability
B. Basic Probability
What You Will Learn in Probability in Electrical Engineering and Computer Science
"Probability in Electrical Engineering and Computer Science: An Application-Driven Course" by "Jean Walrand" is a practical and application-driven book that explains probability using real problems from engineering and computing. Instead of focusing only on theory, the book shows how probabilistic thinking helps analyze systems such as communication networks, algorithms, and data-driven technologies. It is written in clear language, making complex ideas approachable for students and professionals.
The book covers core probability concepts while connecting them to modern applications like digital communications, web search, GPS, machine learning, and signal processing. Walrand emphasizes modeling uncertainty, randomness, and decision-making in real systems. Examples, exercises, and computational tools help readers build intuition and apply concepts effectively in "electrical engineering" and "computer science" contexts.
Overall, this book is ideal for learners who want to understand probability as a practical tool rather than a purely mathematical subject. It bridges theory and practice, encouraging analytical thinking and problem-solving skills. With its real-world focus, the book supports deeper understanding of "applied probability", "random processes", "engineering systems", "algorithms", and "data analysis".
Book Details & Specifications
Title:
Probability in Electrical Engineering and Computer Science by Jean Walrand
Publisher:
Springer
Year:
2022
Pages:
391
Type:
PDF
Language:
English
ISBN-10 #:
0615899366
ISBN-13 #:
978-0615899367
License:
CC BY 4.0
Amazon:
Amazon
About the Author: Jean Camille Walrand
The author
Jean Camille Walrand
is a respected scholar in electrical engineering and computer science, known for his work on probability and stochastic systems. He is a professor emeritus at the University of California, Berkeley, where he taught and researched for many years, focusing on practical mathematical modeling of real-world systems. His research connects theory with applications in networks, algorithms, and data-driven systems. Walrand’s writing makes complex ideas accessible to engineers and computer scientists. His contributions advance "applied probability", "stochastic processes", "communication networks", "queueing theory", and "engineering education".
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