EMGT 5201: Fundamentals of 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. Section information text: 100% online course delivered using Canvas. Learn to use Canvas at http://canvas.uncc.edu. This course is restricted to Charlotte Online program, Engineering Management students.Registration questions, contact: [email protected]
Average GPA: 3.38
Grade distribution records: 286 students across 14 terms.
Grade distribution
| Grade | Students | Percent |
|---|---|---|
| A | 128 | 44.8% |
| B | 104 | 36.4% |
| C | 28 | 9.8% |
| W | 18 | 6.3% |
Based on 286 student grade records across 14 terms and 7 professors.
Instructors
- Churlzu Lim 152 students, Average GPA 3.37
- Fengming Lin 34 students, Average GPA 3.12
- Richard Alaimo 34 students, Average GPA 3.55
- Lei Zhu 32 students, Average GPA 3.39
- Linquan Bai 17 students, Average GPA 3.67
- Vishnunarayan Girishan Prabhu 11 students, Average GPA 3.30
- Guanglin Xu 6 students, Average GPA 3.80