CEE 5930

Last Updated

  • Schedule of Classes - March 3, 2021 7:15PM EST
  • Course Catalog - March 3, 2021 7:16PM EST

CEE 5930
Data Analytics for Engineering Managers

Course information provided by the Courses of Study 2020-2021.

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 and 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: ENMGT 5930

  • 4 Credits Graded

  • 10651 CEE 5930   LEC 001

    • TR Online Meeting
    • Sep 2 - Dec 16, 2020

    • Nozick, L

  • Instruction Mode: Online

    Department Consent Required (Add)

  • 11257 CEE 5930   DIS 201

  •  
    • F Online Meeting
    • Sep 2 - Dec 16, 2020

    • Nozick, L

  • Instruction Mode: Online

Syllabi: none

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

  • 4 Credits Graded

  • 21556 CEE 5930   LEC 002

  •  

  • Instruction Mode: Distance Learning-Asynchronous
    Enroll in this section to avoid course conflicts as course time is variable.

  • 21557 CEE 5930   DIS 202

  •  

  • Instruction Mode: Distance Learning-Asynchronous