CEE 5930

CEE 5930

Course information provided by the Courses of Study 2022-2023.

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 4930ENMGT 5930

  • 4 Credits Graded

  •  9516 CEE 5930   LEC 001

    • TR To Be Assigned
    • Aug 22 - Dec 5, 2022
    • Nozick, L

  • Instruction Mode: In Person
    To request a PIN, contact the department at tms235@cornell.edu

  •  9732 CEE 5930   DIS 201

    • F To Be Assigned
    • Aug 22 - Dec 5, 2022
    • Nozick, L

  • Instruction Mode: In Person
    To request a PIN, contact the department at tms235@cornell.edu

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

  • 4 Credits Graded

  • 10227 CEE 5930   LEC 002

    • TBA
    • Aug 22 - Dec 5, 2022
    • Nozick, L

  • Instruction Mode: Distance Learning-Asynchronous
    To request a PIN, contact the department at tms235@cornell.edu. Enrollment limited to: Distance learning (off-campus) students only

  • 10228 CEE 5930   DIS 202

    • TBA
    • Aug 22 - Dec 5, 2022
    • Nozick, L

  • Instruction Mode: Distance Learning-Asynchronous