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Introduction to Probability for Computing

Authors

Mor Harchol-Balter
, Carnegie Mellon University, Pennsylvania
Published 2023

Description

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…

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Key features

  • Designed to teach students about probability as it is used in computer science curricula today
  • Includes many examples and applications specific to computer science, including hash table design, capacity provisioning in data centers, web page ranking, disk modeling, virus propagation, deducing signals in noisy environments, error correction, caching, and primality testing
  • Fully rigorous, yet accessible for students, with an interactive question-and-answer style focusing on intuition-building
  • Includes full-color illustrations, numerous examples, and nearly 400 exercises

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