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CEE 3090 - Data Analytics in CEE |
Data analytics applications for CEE, accessing and assessing datasets, tools focused on machine learning, advantages and limitations of data driven approaches, communication data-driven assessments.
0.000 OR 3.000 Credit hours 0.000 OR 2.000 Lecture hours 0.000 Lab hours 0.000 OR 2.000 Other hours Grade Basis: ALP Sch/Civil & Environmental Engr Department Restrictions: Must be enrolled in one of the following Campuses: Georgia Tech-Atlanta * |
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