May 03, 2024  
2021-2022 Graduate Catalog 
    
2021-2022 Graduate Catalog [Not Current Academic Year. Consult with Your Academic Advisor for Your Catalog Year]

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COSC 6324 - Randomized Algorithms and Probabilistic Techniques in Computing

Credit Hours: 3
Lecture Contact Hours: 3   Lab Contact Hours: 0
Prerequisite: COSC 6320.

Introduction to randomized algorithms and probabilistic techniques in computer science. Covers basic probability theory and presents applications of probabilistic techniques in algorithms, theory of computation, communication networks, information theory, parallel and distributed computation, machine learning, artificial intelligence, and data science. Topics include fundamental probability theory, randomized algorithms and their analysis, moments and deviations, continuous probability, Random walks and Markov chains, information theory, learning, probabilistic models, randomized algorithms for big data, random graph models, and power law distributions.
Repeatability: No

Additional Fee: N



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