Aug 25, 2025  
2025-2026 Franklin & Marshall College Catalog 
  
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2025-2026 Franklin & Marshall College Catalog
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MAT 317 - Intro to Statistical Learning

Description
The course aims to introduce students to supervised and unsupervised methods in statistical learning. Supervised learning is examined through regression and classification methods (e.g. multivariate regression, logistic regression, splines, tree-based methods, random forests, etc.), model selection and regularization (LASSO and ridge regression), nonlinear models, etc., while unsupervised learning includes principal component analysis and clustering techniques. A statistical software package R will be used throughout the course.
Prerequisite
MAT 215  AND MAT 216  

Credits: 1

Course Attribute(s):


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