Detailed Course Information |
Fall 2024
Dec 20, 2025 |
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| CEE 3090 - Data Analytics in CEE |
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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 * Prerequisites: Undergraduate Semester level CS 1371 Minimum Grade of D and Undergraduate Semester level CEE 2090 Minimum Grade of D and (Undergraduate Semester level CEE 3770 Minimum Grade of D or Undergraduate Semester level ISYE 3770 Minimum Grade of D or Undergraduate Semester level MATH 3670 Minimum Grade of D) |
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