COMPUTATIONAL PRESCRIPTIVE ANALYTICS
A continuation of INDE 545 that focuses on computational approaches to prescriptive analytics. Topics include decomposition approaches to large-scale optimization, modeling languages, decision analysis and discrete-even simulation software. Emphasis will be placed on using relevant software on practical problems. Instructor Permission Required. Graduate/Undergraduate Equivalency: CMOR 442 . Mutually Exclusive: Cannot register for INDE 546 if student has credit for CAAM 476.
Prerequisites & course information
Short Title: COMP PRESCRIPTIVE ANAYLTICS Department: Industrial Engineering Grade Mode: Standard Letter Course Type: Lecture Credit Hours: 3 Restrictions: Enrollment is limited to Graduate level students. Enrollment limited to students in a Master of Comp & Appl Math, Master of Comp Sci & Eng, Master of Computer Science, Master of Data Science, Master of Electrical Comp Eng, Master of Eng Mgmt & Leadershp, Master of Industrial Eng, Master of Mechanical Eng or Master of Statistics degrees. Course Level: Graduate Prerequisite(s): INDE 545
Sources
- Course catalogue ↗2026–2027