NRE 5460
Last Updated
- Schedule of Classes - November 21, 2024 8:07AM EST
- Course Catalog - November 21, 2024 7:26AM EST
Classes
NRE 5460
Course Description
Course information provided by the Courses of Study 2024-2025.
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.
Seven Week - Second.
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Credits and Grading Basis
1.5 Credits GradeNoAud(Letter grades only (no audit))
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Class Number & Section Details
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Meeting Pattern
- F Sage Graduate Hall 127
- Oct 18 - Dec 6, 2024
Instructors
Qi, M
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Additional Information
Instruction Mode: In Person
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.
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