ENMGT 5930

Last Updated

  • Schedule of Classes - August 2, 2023 12:50PM EDT
  • Course Catalog - April 3, 2023 12:59PM EDT

ENMGT 5930
Data Analytics

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

  •  9815 ENMGT 5930   LEC 001

  •  
    • TR
    • Aug 22 - Dec 5, 2022

    • Nozick, L

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

  •  9816 ENMGT 5930   DIS 201

  •  
    • F
    • Aug 22 - Dec 5, 2022

    • Nozick, L

  • Instruction Mode: In Person

Syllabi: none

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

  • 4 Credits Graded

  • 10229 ENMGT 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.

  • 10230 ENMGT 5930   DIS 202

  •  
    • TBA
    • Aug 22 - Dec 5, 2022

    • Nozick, L

  • Instruction Mode: Distance Learning-Asynchronous