DATA 202 - Mathematical Foundations for Applied Data Intelligence

3 unit(s)
Mathematical and statistical methods for applied data science; selected topics from probability, descriptive statistics, linear algebra, and calculus principles; programming for numerical implementation of mathematical and statistical methods.

Prerequisite(s): Admission into MS in Applied Data Intelligence and graduate advisor consent.
Grading: Credit/No Credit.

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