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2024 Fall
Jan 15, 2025
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Information Select the desired Level or Schedule Type to find available classes for the course.

STAT 300 - Statistical Learning and Predictive Modeling
Selected topics and techniques in statistical learning and predictive modeling, including linear models, logistic regression models, regression trees, classification models and statistical software. ***Prerequisite: MATH 122, STAT 252, and CS 110*** *Note: Students can receive credit for only one of ACSC 300 and STAT 300*
0.000 OR 3.000 Credit hours
3.000 Lecture hours
1.000 Lab hours

Levels: Undergraduate
Schedule Types: Lecture, Lab, Independent Study, Examination

Mathematics & Statistics Department

Restrictions:
Must be enrolled in one of the following Levels:     
      Undergraduate
      Graduate

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Release: 8.7.2.4