Nov 25, 2024  
Undergraduate Catalog (ARCHIVED) 2020-2021 
    
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Undergraduate Catalog (ARCHIVED) 2020-2021 [ARCHIVED CATALOG]

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CSC 402 - 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 , MATH 123  and MATH 281  


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