CEE 5930

Last Updated

  • Schedule of Classes - July 3, 2024 8:11PM EDT
  • Course Catalog - July 3, 2024 7:43PM EDT

CEE 5930
Data Analytics

Course information provided by the Courses of Study 2024-2025.

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, ENMGT 5930

  • 4 Credits Stdnt Opt

  •  6936 CEE 5930   LEC 001

  • Instruction Mode: In Person
    To request a permission number, contact Diana Peppin (dlw259).

    Department Consent Required (Add)

  •  7095 CEE 5930   DIS 201

    • F Olin Hall 255
    • Aug 26 - Dec 9, 2024

    • Nozick, L

  • Instruction Mode: In Person
    To request a permission number, contact Diana Peppin (dlw259).

    Department Consent Required (Add)

Syllabi: none

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

  • 4 Credits Graded

  •  7396 CEE 5930   LEC 002

  •  

  • Instruction Mode: Distance Learning-Asynchronous
    Enrollment limited to: distance learning students. To request a permission number, contact Diana Peppin (dlw259).

  •  7397 CEE 5930   DIS 202

  •  

  • Instruction Mode: Distance Learning-Asynchronous
    To request a permission number, contact Diana Peppin (dlw259).