SEGR 3110: System Design and Deployment
University of North Carolina, Charlotte
Introduction to various systems engineering applications that require data analytics and machine learning skills. The emphasis is on both descriptive and prescriptive analytics problems by implementing statistical computing, supervised learning, and unsupervised learning. �The course culminates upon completion of a hands-on term project.
Average GPA: 3.75
Grade distribution records: 148 students across 14 terms.
Grade distribution
| Grade | Students | Percent |
|---|---|---|
| A | 113 | 76.4% |
| B | 26 | 17.6% |
| C | 3 | 2.0% |
| F | 1 | 0.7% |
| W | 1 | 0.7% |
Based on 148 student grade records across 14 terms and 6 professors.
Instructors
- Linquan Bai 57 students, Average GPA 3.86
- Agnes Ozelkan 41 students, Average GPA 3.88
- Lei Zhu 24 students, Average GPA 3.50
- Guanglin Xu 14 students, Average GPA 3.36
- Heena Jain 8 students, Average GPA 3.33
- Masoud Sobhani 4 students, Average GPA 4.00