SEGR 4201: Deterministic System Analysis
University of North Carolina, Charlotte
The course is partitioned into three modules: refresher of linear algebra with introduction to data analytics applications, continuous optimization focused on linear systems, and discrete optimization by integer programming and dynamic programming.
Average GPA: 2.94
Grade distribution records: 127 students across 13 terms.
Grade distribution
| Grade | Students | Percent |
|---|---|---|
| A | 37 | 29.1% |
| B | 46 | 36.2% |
| C | 23 | 18.1% |
| D | 6 | 4.7% |
| F | 3 | 2.4% |
| W | 4 | 3.1% |
Based on 127 student grade records across 13 terms and 7 professors.
Instructors
- Churlzu Lim 55 students, Average GPA 2.77
- Linquan Bai 31 students, Average GPA 3.12
- Guanglin Xu 9 students, Average GPA 2.56
- Lei Zhu 9 students, Average GPA 3.38
- Richard Alaimo 9 students, Average GPA 2.88
- Fengming Lin 7 students, Average GPA 3.29
- Vishnunarayan Girishan Prabhu 7 students, Average GPA 3.29