Introduction to Probability for Computing 1st Edition By Mor Harchol-Balter
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- Pages
- 573
- File size
- 12.47 MB
- Format
- Digital PDF
- Category
- eBook[PDF]
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About this ebook
Introduction to Probability for Computing by Mor Harchol-Balter is a highly acclaimed, rigorous undergraduate textbook published by Cambridge University Press in September 2023. Unlike traditional math-centric probability books that focus heavily on counting and combinatorics, this text is tailored specifically for computer science theory and practice. It centers heavily on probability distributions, variability, higher moments, and real-world system applications. [1, 2, 3, 4]
Key Pedagogical Features
- Interactive Style: Uses an engaging Question and Answer format to motivate student interest.
- Massive Problem Set: Contains nearly 400 exercises tailored for computer science students.
- No Hidden Prerequisites: Summarizes the required foundational mathematics directly inside the text.
- Rich Teaching Resources: Includes full packages containing solutions, lecture slides, and notes. [1, 2, 3]
Core Topics Covered
- Heavy-Tailed Distributions: Critical for understanding modern empirical computing and data traffic workloads.
- Randomized Algorithms: Essential foundations for understanding how randomness optimizes computation speed.
- Systems Modeling & Simulation: Teaches how to evaluate system performance and simulate computing workloads.
- Markov Models & Queues: Practical math applications for networking, server queues, and operating systems.
- Statistical Inference: Core statistical concepts that bridge probability with modern machine learning. [1, 2, 3, 4, 5]
Where to Access
- Full Text PDF: The complete textbook manuscript is hosted freely on the author's CMU Professor Homepage.
- Physical Copies: Print editions are widely available for purchase globally on Amazon US, Amazon India, and local retail networks.
- Course Materials: Official teaching materials can be explored via the CMU Probability Book Hub. [1, 2, 3, 4]
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12.47 MB
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