Apr 18, 2024  
Graduate Catalog (ARCHIVED) 2019-2020 
    
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Graduate Catalog (ARCHIVED) 2019-2020 [ARCHIVED CATALOG]

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CSC 502 - Mathematical Foundations of Artificial Intelligence

3 Credits
This course will cover fundamental mathematical and computational objectives and knowledge units necessary for a student to successfully study artificial intelligence and machine learning.  Material may be taken from the included topics: Partial derivatives, optimization, probability theory, linear algebra, principal component analysis, Markov chains, information theory, Bayes theory, iterative techniques, and Monte Carlo simulations. Prerequisite(s): CSC 250 Computer Science II, MATH 123 Calculus I, and MATH 281 Introduction to Statistics.


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