ADMN 875 (01) - Prescriptive Analytics

Prescriptive Analytics

Durham   Paul College of Business&Econ :: Administration
Online Course Delivery Method: Online Asynchronous
Credits: 3.0
Term: Fall 2024 - Term 1 (08/26/2024 - 10/18/2024)
Grade Mode: Letter Grading
Class Size:   39  
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.
Prerequisite(s): ADMN 950 with minimum grade of B-
Instructors: Wei Wei

Times & Locations

Start Date End Date Days Time Location
8/26/2024 10/18/2024 Hours Arranged ONLINE