Hardcover. Learn about probability as it is used in computer science with this rigorous, yet highly accessible, undergraduate textbook. Fundamental probability concepts are explained in depth, prerequisite mathematics is summarized, and a wide range of computer science applications is described. Throughout, the material is presented in a question and answer style designed to encourage student engagement and understanding. Replete with almost 400 exercises, real-world computer science examples, and covering a wide range of topics from simulation with computer science workloads, to statistical inference, to randomized algorithms, to Markov models and queues, this interactive text is an invaluable learning tool whether your course covers probability with statistics, with stochastic processes, with randomized algorithms, or with simulation. The teaching package includes solutions, lecture slides, and lecture notes for students. A rigorous, yet accessible, textbook for computer science students learning probability. It covers topics of interest to computer scientists, including randomized algorithms, simulation, statistical inference, and stochastic systems modeling. Replete with engaging real-world examples, exercises, and full-color illustrations. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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Dati bibliografici

Titolo: Introduction to Probability for Computing (Hardcover)
Editore: Cambridge University Press, Cambridge
Data di pubblicazione: 2023
Lingua: Inglese
ISBN 10: 1009309072
ISBN 13: 9781009309073
Rilegatura: Hardcover
Condizione: new

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Riassunto

A highly engaging and interactive undergraduate textbook specifically written for computer science courses.

Informazioni sull?autore

Mor Harchol-Balter is the Bruce J. Nelson Professor of Computer Science at Carnegie Mellon University. She is a Fellow of both ACM and IEEE. She has received numerous teaching awards, including the Herbert A. Simon Award for teaching excellence at CMU. She is also the author of the popular textbook Performance Analysis and Design of Computer Systems (Cambridge, 2013).

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