ENMGT 5930

ENMGT 5930

Course information provided by the Courses of Study 2020-2021. Courses of Study 2021-2022 is scheduled to publish by July 1.

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 3230, 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

Enrollment Information
Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: CEE 4930CEE 5930

  • 4 Credits Graded

  • 11197ENMGT 5930  LEC 001

    • TR
    • Aug 26 - Dec 7, 2021
    • Nozick, L

  • Instruction Mode: Planned for In Person

  • 11198ENMGT 5930  DIS 201

    • F
    • Aug 26 - Dec 7, 2021
    • Nozick, L

  • Instruction Mode: Planned for In Person

Enrollment Information
Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: CEE 5930

  • 4 Credits Graded

  • 19069ENMGT 5930  LEC 002

    • TBA
    • Nozick, L

  • Instruction Mode: Distance Learning-Asynchronous

  • 19070ENMGT 5930  DIS 202

    • TBA
    • Aug 26 - Dec 7, 2021
    • Nozick, L

  • Instruction Mode: Distance Learning-Asynchronous