IENG 341 Data Analytics for Engineering and Technology

Credits: (3-0) 3

This course provides students with key techniques in statistical learning and data analytics for engineering technology. Topics include linear regression, classification, resampling, linear model selection and regularization, tree-based methods, support vector machines, and unsupervised learning.

Prerequisites: BADM 220 or (IENG 381/MATH 281 or MATH 381)

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