Durham
Paul College of Business&Econ :: Administration
ADMN 875 (01) - Prescriptive Analytics
Prescriptive Analytics
Online Course Delivery Method: Online Asynchronous
Credits: 3.0
Term: Fall 2024 - Term 1 (08/26/2024 - 10/18/2024)
Grade Mode: Letter Grading
Term: Fall 2024 - Term 1 (08/26/2024 - 10/18/2024)
Grade Mode: Letter Grading
Class Size:
39
CRN: 16462
CRN: 16462
This course is concerned with the final frontier of business analytics, and develops student knowledge of the uses of descriptive statistics and forecasts to find and suggest optimal courses of action, focusing on the development and use of optimization and Monte-Carlo simulation models for making quantitative business decisions. Optimization topics include linear and mixed-integer programming, network flow optimization, and nonlinear optimization. Application areas include operations & supply chain management, marketing, and finance.
Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.
Prerequisite(s): ADMN 950 with minimum grade of B-
Instructors: Wei Wei
Start Date | End Date | Days | Time | Location |
---|---|---|---|---|
8/26/2024 | 10/18/2024 | Hours Arranged | ONLINE |