Probability in Electrical Engineering and Computer Science - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Probability in Electrical Engineering and Computer Science write by Jean Walrand. This book was released on 2021-06-22. Probability in Electrical Engineering and Computer Science available 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. For ancillaries related to this book, including examples of Python demos and also Python labs used in Berkeley, please email Mary James at [email protected]. This is an open access book.
Probability for Electrical and Computer Engineers
Probability for Electrical and Computer Engineers - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Probability for Electrical and Computer Engineers write by Charles Therrien. This book was released on 2004-06-01. Probability for Electrical and Computer Engineers available in PDF, EPUB and Kindle. 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 an introduction to probability and random variables. Written in a clear and concise style that makes the topic interesting and relevant for electrical and computer engineering students, the text also features applications and examples useful to anyone involved in other branches of engineering or physical sciences. Chapters focus on the probability model, random variables and transformations, inequalities and limit theorems, random processes, and basic combinatorics. These topics are reinforced with computer projects available on the CRC Press Web site. This unique book enhances the understanding of probability by introducing engineering applications and examples at the earliest opportunity, as well as throughout the text. Electrical and computer engineers seeking solutions to practical problems will find it a valuable resource in the design of communication systems, control systems, military or medical sensing or monitoring systems, and computer networks.
Probability and Random Variables for Electrical Engineering
Probability and Random Variables for Electrical Engineering - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Probability and Random Variables for Electrical Engineering write by Muammer Catak. This book was released on 2021-08-18. Probability and Random Variables for Electrical Engineering available in PDF, EPUB and Kindle. 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 demonstrate the relevance of the probability and random variables in engineering. As authors, we focused on to find out the optimum ways in order to introduce the topics in probability and random variables area.
Probability and Statistics for Computer Scientists, Second Edition
Probability and Statistics for Computer Scientists, Second Edition - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Probability and Statistics for Computer Scientists, Second Edition write by Michael Baron. This book was released on 2013-08-05. Probability and Statistics for Computer Scientists, Second Edition available in PDF, EPUB and Kindle. Student-Friendly Coverage of Probability, Statistical Methods, Simulation, and Modeling Tools Incorporating 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 optimal decisions under uncertainty; model and evaluate computer systems and networks; and prepare for advanced probability-based courses. Written in a lively style with simple language, this classroom-tested book can now be used in both one- and two-semester courses. New to the Second Edition Axiomatic introduction of probability Expanded coverage of statistical inference, including standard errors of estimates and their estimation, inference about variances, chi-square tests for independence and goodness of fit, nonparametric statistics, and bootstrap More exercises at the end of each chapter Additional MATLAB® codes, particularly new commands of the Statistics Toolbox In-Depth yet Accessible Treatment of Computer Science-Related Topics Starting with the fundamentals of probability, the text takes students through topics heavily featured in modern computer science, computer engineering, software engineering, and associated fields, such as computer simulations, Monte Carlo methods, stochastic processes, Markov chains, queuing theory, statistical inference, and regression. It also meets the requirements of the Accreditation Board for Engineering and Technology (ABET). Encourages Practical Implementation of Skills Using simple MATLAB commands (easily translatable to other computer languages), the book provides short programs for implementing the methods of probability and statistics as well as for visualizing randomness, the behavior of random variables and stochastic processes, convergence results, and Monte Carlo simulations. Preliminary knowledge of MATLAB is not required. Along with numerous computer science applications and worked examples, the text presents interesting facts and paradoxical statements. Each chapter concludes with a short summary and many exercises.
Probability and Random Processes for Electrical and Computer Engineers
Probability and Random Processes for Electrical and Computer Engineers - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Probability and Random Processes for Electrical and Computer Engineers write by John A. Gubner. This book was released on 2006-06-01. Probability and Random Processes for Electrical and Computer Engineers available in PDF, EPUB and Kindle. 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 processes, Markov Chains, and convergence. Describing tools and results that are used extensively in the field, this is more than a textbook; it is also a reference for researchers working in communications, signal processing, and computer network traffic analysis. With over 300 worked examples, some 800 homework problems, and sections for exam preparation, this is an essential companion for advanced undergraduate and graduate students. Further resources for this title, including solutions (for Instructors only), are available online at www.cambridge.org/9780521864701.
