Detailed Course Information |
Spring 2024
Nov 21, 2024 |
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| ISYE 6740 - Computational Data Analy |
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Theoretical/computational foundations of analyzing large/complex modern datasets, including the fundamental concepts of machine learning and data mining needed for both resesarch and practice. Crosslisted with CSE 6740. Credit not awarded for both ISYE 6740 and CS 4641/7641/CSE 6740.
3.000 Credit hours 3.000 Lecture hours Grade Basis: ALP All Sections for this Course Sch/Industrial & Systems Engr Department Restrictions: May not be enrolled in one of the following Levels: Undergraduate Semester Must be enrolled in one of the following Campuses: Georgia Tech-Atlanta * Prerequisites: (Undergraduate Semester level MATH 2401 Minimum Grade of D or Undergraduate Semester level MATH 2411 Minimum Grade of D or Undergraduate Semester level MATH 2605 Minimum Grade of D or Undergraduate Semester level MATH 2551 Minimum Grade of D or Undergraduate Semester level MATH 2561 Minimum Grade of D) and (Undergraduate Semester level CS 1332 Minimum Grade of D or Undergraduate Semester level CS 1371 Minimum Grade of D) |
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