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Fall 2017
Jul 07, 2022
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ISYE 6740 - Computational Data Analy
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.
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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Release: 8.7.2.4GT