Koutsoupias. Probability and Computing. Oxford
Introduction to probabilistic methods in computer science.
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- Theoretical Computer Science
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- 2026-10-10
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First cs.ubc.ca
and Second Course in Randomized Algorithms. Columbia. - Respectively, undergrad and grad courses for probabilistic methods in algorithms.
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Goldreich. Randomized Methods in Computation wisdom.weizmann.ac.il
The aim of the current course is to make the students familiar with some of randomized methods.
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Luke Postle. Probablistic Methods. Waterloo youtube.com
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Mary Wootters. Randomized Algorithms and Probabilistic Analysis. Stanford web.stanford.edu
Key tools of probabilistic analysis, and application of these tools to understand the behaviors of random processes and algorithms. Emphasis is on theoretical foundations, though applications will be discussed in machine learning and data analysis, networking, and systems…
Theoretical Computer Science › Randomization & Probability > Lecture Notes: “Introduction to probabilistic methods in computer science.”