Durham
Paul College of Business&Econ :: Supply Chain Management
SC 671 (01) - Supply Chain Analytics
Supply Chain Analytics
Credits: 4.0
Term: Spring 2025 - Full Term (01/21/2025 - 05/05/2025)
Grade Mode: Letter Grading
Term: Spring 2025 - Full Term (01/21/2025 - 05/05/2025)
Grade Mode: Letter Grading
Class Size:
30
CRN: 56019
CRN: 56019
The course focuses on the quantitative side of Supply Chain Management (SCM) by applying both Descriptive and Prescriptive Analytics to SCM business scenarios. In Descriptive Analytics, students learn to use the principles of data visualization, data cleanup and wrangling, advanced data analysis and visualization tools, and dashboard design to develop and communicate Supply Chain Performance Metrics. In Prescriptive Analytics, students learn how to use advanced spreadsheet modeling/programming, optimization techniques, and sensitivity analyses to model, analyze, and optimize Supply Chain Networks
Prerequisite(s): ADMN 410 with minimum grade of C- and ADMN 510 with minimum grade of C-
Mutual Exclusion : DS 671
Only listed campus in section: Durham
Only listed classes in section: Junior, Senior
Only listed majors in section: BUSADM:SCM
Instructors: Roger Grinde
Start Date | End Date | Days | Time | Location |
---|---|---|---|---|
1/21/2025 | 5/5/2025 | MW | 11:10am - 12:30pm | PARS N114 |