ENMGT 5930

Last Updated

  • Schedule of Classes - January 15, 2024 7:50PM EST
  • Course Catalog - January 15, 2024 7:28PM EST

ENMGT 5930
Data Analytics

Course information provided by the Courses of Study 2023-2024.

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:

  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: CEE 4930, CEE 5930

  • 4 Credits Graded

  •  7871 ENMGT 5930   LEC 001

  •  

  • Instruction Mode: In Person
    Non-ENMGT students who want to enroll in this class should contact the department at dlw259@cornell.edu to request a PIN.

  •  7872 ENMGT 5930   DIS 201

  •  
    • F Olin Hall 255
    • Aug 21 - Dec 4, 2023

    • Nozick, L

  • Instruction Mode: In Person
    Non-ENMGT students who want to enroll in this class should contact the department at dlw259@cornell.edu to request a PIN.

Syllabi:

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

  • 4 Credits Graded

  •  8166 ENMGT 5930   LEC 002

  •  

  • Instruction Mode: Distance Learning-Asynchronous
    To request a PIN, contact the department at dlw259@cornell.edu. Enrollment limited to: Distance learning (off-campus) students only.

  •  8167 ENMGT 5930   DIS 202

  •  

  • Instruction Mode: Distance Learning-Asynchronous