Course Schedule
LSCM 7446 A — Applied Logistics Analytics
CRN 51211
3.0 credit hours
Utilizes quantitative and statistical methods which are commonly used in making managerial decisions in the context of supply chain management. Topics include predictive and prescriptive analytical tools to support decisions in business logistics. Prerequisite: Admission to the MS-LSCM program, or one of the following graduate certificate programs: Logistics and Transportation or Operations and Supply Management.
Course Details
| College | Business | Instructor | Yenipazarli, Arda |
|---|---|---|---|
| Location | Online Course | Seats Available |
8 open
|
| Instructional Method | Entirely at a distance This course is delivered 100% through distance education technology. No visits to campus/designated instructional site are required. | Waitlist Available | No Waitlist Available |
| Schedule Type | Asynchronous Instruction Asynchronous Course: Instruction delivered online without specified meeting days, times, or location. | Material Cost | N/A |
| Semester | Summer 2024 | University Store | Online |
| Term | Minimester I | Course Fees | N/A |
Additional Information
Prior Approval Required: Department Approval
Meeting Times
| Dates | Days | Time | Building | Room |
|---|---|---|---|---|
| May 13 - June 13, 2024 | - | - | - | - |