# Probability in Electrical Engineering and Computer Science

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- Author : Jean Walrand
- Publisher : Springer
- Release : 10 October 2020
- ISBN : 3030499944
- Page : 376 pages
- Rating : 4.5/5 from 103 voters

## Download Probability in Electrical Engineering and Computer Science in PDF, Epub and Kindle

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.

### Probability in Electrical Engineering and Computer Science

- Author : Jean Walrand
- Publisher : Springer
- Release Date : 2020-10-10
- ISBN : 3030499944

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

### Probability and Random Processes for Electrical and Computer Engineers

- Author : John A. Gubner
- Publisher : Cambridge University Press
- Release Date : 2006-06-01
- ISBN : 9781139457170

The theory of probability is a powerful tool that helps electrical and computer engineers to explain, model, analyze, and design the technology they develop. The text begins at the advanced undergraduate level, assuming only a modest knowledge of probability, and progresses through more complex topics mastered at graduate level. The first five chapters cover the basics of probability and both discrete and continuous random variables. The later chapters have a more specialized coverage, including random vectors, Gaussian random vectors, random

### Probability and Statistics with Reliability, Queuing, and Computer Science Applications

- Author : Kishor S. Trivedi
- Publisher : John Wiley & Sons
- Release Date : 2016-06-30
- ISBN : 9781119314202

An accessible introduction to probability, stochastic processes, and statistics for computer science and engineering applications Second edition now also available in Paperback. This updated and revised edition of the popular classic first edition relates fundamental concepts in probability and statistics to the computer sciences and engineering. The author uses Markov chains and other statistical tools to illustrate processes in reliability of computer systems and networks, fault tolerance, and performance. This edition features an entirely new section on stochastic Petri nets—

### Probability and Random Processes for Electrical and Computer Engineers

- Author : Charles Therrien,Murali Tummala
- Publisher : CRC Press
- Release Date : 2018-09-03
- ISBN : 9781439897492

With updates and enhancements to the incredibly successful first edition, Probability and Random Processes for Electrical and Computer Engineers, Second Edition retains the best aspects of the original but offers an even more potent introduction to probability and random variables and processes. Written in a clear, concise style that illustrates the subject’s relevance to a wide range of areas in engineering and physical and computer sciences, this text is organized into two parts. The first focuses on the probability

### Probability and Stochastic Processes

- Author : Roy D. Yates,David J. Goodman
- Publisher : John Wiley & Sons
- Release Date : 2014-01-28
- ISBN : 9781118324561

This text introduces engineering students to probability theory and stochastic processes. Along with thorough mathematical development of the subject, the book presents intuitive explanations of key points in order to give students the insights they need to apply math to practical engineering problems. The first seven chapters contain the core material that is essential to any introductory course. In one-semester undergraduate courses, instructors can select material from the remaining chapters to meet their individual goals. Graduate courses can cover all

### Probability for Electrical and Computer Engineers

- Author : Charles Therrien,Murali Tummala
- Publisher : CRC Press
- Release Date : 2004-06-01
- ISBN : 9780203492611

Scientists and engineers must use methods of probability to predict the outcome of experiments, extrapolate results from a small case to a larger one, and design systems that will perform optimally when the exact characteristics of the inputs are unknown. While many engineering books dedicated to the advanced aspects of random processes and systems include background information on probability, an introductory text devoted specifically to probability and with engineering applications is long overdue. Probability for Electrical and Computer Engineers provides

### Probability and Random Processes for Electrical Engineering

- Author : Alberto Leon-Garcia
- Publisher : Pearson Education India
- Release Date : 1994-09
- ISBN : 8131709175

### Probability and Statistics for Computer Scientists

- Author : Michael Baron
- Publisher : CRC Press
- Release Date : 2013-08-05
- ISBN : 9781498760607

Student-Friendly Coverage of Probability, Statistical Methods, Simulation, and Modeling ToolsIncorporating feedback from instructors and researchers who used the previous edition, Probability and Statistics for Computer Scientists, Second Edition helps students understand general methods of stochastic modeling, simulation, and data analysis; make o

### Probability and Random Variables for Electrical Engineering

- Author : Muammer Catak,Tofigh Allahviranloo,Witold Pedrycz
- Publisher : Springer Nature
- Release Date : 2021-09-19
- ISBN : 9783030829223

This book delivers a concise and carefully structured introduction to probability and random variables. It aims to build a linkage between the theoretical conceptual topics and the practical applications, especially in the undergraduate engineering area. The book motivates the student to gain full understanding of the fundamentals of probability theory and help acquire working problem-solving skills and apply the theory to engineering applications. Each chapter includes solved examples at varying levels (both introductory and advanced) in addition to problems that

### Mathematics for Computer Science

- Author : Eric Lehman,F. Thomson Leighton,Albert R. Meyer
- Publisher : Unknown
- Release Date : 2017-03-08
- ISBN : 9888407066

This book covers elementary discrete mathematics for computer science and engineering. It emphasizes mathematical definitions and proofs as well as applicable methods. Topics include formal logic notation, proof methods; induction, well-ordering; sets, relations; elementary graph theory; integer congruences; asymptotic notation and growth of functions; permutations and combinations, counting principles; discrete probability. Further selected topics may also be covered, such as recursive definition and structural induction; state machines and invariants; recurrences; generating functions.

### Electrical, Control Engineering and Computer Science

- Author : Liu Jian
- Publisher : CRC Press
- Release Date : 2015-12-30
- ISBN : 9781315638829

Electrical, Control Engineering and Computer Science includes the papers from ECECS2015 (Hong Kong, 30-31 May 2015), which was organized by the American Society of Science and Engineering (ASEE), a non-profit society for engineers and scientists. Presenting new theories, ideas, techniques and experiences related to all aspects of electrical enginee

### Statistics and Probability for Engineering Applications

- Author : William DeCoursey
- Publisher : Elsevier
- Release Date : 2003-05-14
- ISBN : 9780080489759

Statistics and Probability for Engineering Applications provides a complete discussion of all the major topics typically covered in a college engineering statistics course. This textbook minimizes the derivations and mathematical theory, focusing instead on the information and techniques most needed and used in engineering applications. It is filled with practical techniques directly applicable on the job. Written by an experienced industry engineer and statistics professor, this book makes learning statistical methods easier for today's student. This book can be read

### Probability with Applications in Engineering, Science, and Technology

- Author : Matthew A. Carlton,Jay L. Devore
- Publisher : Springer
- Release Date : 2017-03-30
- ISBN : 9783319524016

This updated and revised first-course textbook in applied probability provides a contemporary and lively post-calculus introduction to the subject of probability. The exposition reflects a desirable balance between fundamental theory and many applications involving a broad range of real problem scenarios. It is intended to appeal to a wide audience, including mathematics and statistics majors, prospective engineers and scientists, and those business and social science majors interested in the quantitative aspects of their disciplines. The textbook contains enough material for

### High-Dimensional Probability

- Author : Roman Vershynin
- Publisher : Cambridge University Press
- Release Date : 2018-09-27
- ISBN : 9781108415194

An integrated package of powerful probabilistic tools and key applications in modern mathematical data science.

### Probability Distributions Involving Gaussian Random Variables

- Author : Marvin K. Simon
- Publisher : Springer Science & Business Media
- Release Date : 2007-05-24
- ISBN : 9780387476940

This handbook, now available in paperback, brings together a comprehensive collection of mathematical material in one location. It also offers a variety of new results interpreted in a form that is particularly useful to engineers, scientists, and applied mathematicians. The handbook is not specific to fixed research areas, but rather it has a generic flavor that can be applied by anyone working with probabilistic and stochastic analysis and modeling. Classic results are presented in their final form without derivation or