Introduction to Probability for Computing

This undergraduate textbook on probability covers fundamental concepts,prerequisite mathematics,and computer science applications,with almost 400 exercises,real-world examples,and a question-and-answer style. It is an invaluable learning tool for courses covering probability with statistics,stochastic processes,randomized algorithms,or simulation.

Format: Hardback
Length: 555 pages
Publication date: 28 September 2023
Publisher: Cambridge University Press

Discover the fascinating world of probability as it applies to computer science with this comprehensive and accessible undergraduate textbook. Delve into fundamental probability concepts with thorough explanations, providing a solid foundation for your understanding. This textbook summarizes essential prerequisite mathematics, making it accessible to students from various backgrounds. Explore a wide range of computer science applications, from simulating complex workloads to statistical inference, randomized algorithms, Markov models, and queues. Presented in a engaging "question and answer" style, this text encourages student engagement and comprehension. With nearly 400 exercises, real-world computer science examples, and a diverse range of topics, this interactive textbook is an invaluable learning tool for courses covering probability with statistics, stochastic processes, randomized algorithms, or simulation. The teaching package includes comprehensive solutions, lecture slides, and lecture notes to support your studies. Unlock the secrets of probability and its applications in computer science with this comprehensive and engaging textbook.

Weight: 1222g
Dimension: 177 x 251 x 32 (mm)
ISBN-13: 9781009309073