ISE 5200: Linear Optimization
Ohio State University
Introduction to the linear optimization and applications. Topics include model formulation, solution methods, polyhedral and duality theory, sensitivity analysis, and software usage. Prereq: Math 2174, 2415, 2568, or 4568, and permission of instructor; or Grad standing. Not open to students with credit for 720 or IndEng 702.
Average GPA: 3.42
Grade distribution records: 159 students across 7 terms.
Grade distribution
| Grade | Students | Percent |
|---|---|---|
| A | 62 | 39.0% |
| A- | 25 | 15.7% |
| B+ | 26 | 16.4% |
| B | 19 | 11.9% |
| B- | 13 | 8.2% |
| C+ | 6 | 3.8% |
| C | 6 | 3.8% |
| F | 2 | 1.3% |
Based on 159 student grade records across 7 terms.