ENMGT 5930

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  • Schedule of Classes - September 10, 2024 10:17AM EDT
  • Course Catalog - September 10, 2024 9:48AM EDT
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ENMGT 5930
Data Analytics

Course information provided by the Courses of Study 2024-2025. Courses of Study 2024-2025 is scheduled to publish mid-June.

Big data is transforming organizations enabling vast improvements in operating efficiency, market identification and segmentation, and many other domains. This course focuses on data collection at all scales, the transformation of that data into knowledge using a variety of data analytic techniques, and the integration of that knowledge into system models for decision-making to better manage organizations. Expertise in R will be developed throughout this course.

When Offered Fall.

Prerequisites/Corequisites Prerequisite: CEE 3040 or equivalent.

Outcomes
  • Develop an ability to manage, analyze, and interpret data.
  • Improve the students' ability to identify, formulate, and solve engineering management problems.
  • Develop the skills and techniques necessary to become an effective problem solver.

View Enrollment Information

Syllabi: none

  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: CEE 4930, CEE 5930

  • 4 Credits Stdnt Opt

  •  7157 ENMGT 5930   LEC 001

  •  
    • TR
    • Aug 26 - Dec 9, 2024

    • Nozick, L

  • Enrollment limited to: Engineering Management students; others by permission of department from Diana Peppin (dlw259).

  •  7158 ENMGT 5930   DIS 201

  •  
    • F
    • Aug 26 - Dec 9, 2024

    • Nozick, L

Syllabi: none

  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: CEE 5930

  • 4 Credits Graded

  •  7398 ENMGT 5930   LEC 002

  •  
    • TBA
    • Aug 26 - Dec 9, 2024

    • Nozick, L

  • Instruction Mode: Distance Learning-Asynchronous
    Enrollment limited to: distance learning students. To request a permission number, contact Alyssa Lopez (al546).

  •  7399 ENMGT 5930   DIS 202

  •  
    • TBA
    • Aug 26 - Dec 9, 2024

    • Nozick, L

  • Instruction Mode: Distance Learning-Asynchronous