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DSC 3344: Analytics for Machine Learning

Spring 2027 · 3 credit hours · 1 section · 20 open seats as of Oct 30, 2026, 3:08 AM Central

Prerequisite(s): C or better in DSC 3334. An introduction to the data analytics used in machine learning, including descriptive statistics, probability and counting theory, samples and probability distributions, inferential statistics, linear regression, principal component analysis, and non-parametric analysis. Ethics in data analytics are also discussed.

Professors teaching DSC 3344 in Spring 2027

Matthew Fendt. See their BUBooks scores and reported grades in the builder.

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