Detailed Course Information |
2024 Fall
Jan 15, 2025 |
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 | Select the desired Level or Schedule Type to find available classes for the course. |
| ACSC 300 - Statistical Learning and Predictive Modeling |
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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, Examination Mathematics & Statistics Department Restrictions: Must be enrolled in one of the following Levels: Undergraduate Graduate |
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