NRE 5460

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NRE 5460

Course information provided by the Courses of Study 2024-2025. Courses of Study 2024-2025 is scheduled to publish mid-June.

This course will focus on methods of descriptive, predictive, and prescriptive analytics that are being applied in operations management. Some of the research in this area is theoretical, such as on dynamic assortment optimization. Other research is based on machine learning to apply text analysis, feature detection, and community learning methods to large-scale prediction and optimization problems in OM. The course will combine both these types of approaches.

When Offered Fall.

View Enrollment Information

Syllabi: none
  •   Seven Week - Second. 

  • 1.5 Credits GradeNoAud

  • 19617 NRE 5460   LEC 001

    • F
    • Oct 18 - Dec 6, 2024
    • Qi, M

  • Enrollment limited to: Doctor of Philosophy (PhD) students.
    Add/Drop Dates: 9:00 am, August 19, 2024 - 11:59 pm, September 9, 2024 with an additional add/drop period 8:00 am, October 16, 2024 - 11:59 pm, October 23, 2024. Students will be assessed a $100 late fee and required to obtain faculty permission to add/drop after October 23, 2024. If you drop after November 6, 2024, you will also receive a "W" on your transcript in addition to the late fees.