SEGR 3105: Computational Methods for Systems Engineering II
University of North Carolina, Charlotte
Topics in data analytics and basic machine learning skills, such as regression, classification, data processing, and model validation, by using R programming and packages.
Average GPA: 3.17
Grade distribution records: 410 students across 23 terms.
Grade distribution
| Grade | Students | Percent |
|---|---|---|
| A | 171 | 41.7% |
| B | 151 | 36.8% |
| C | 48 | 11.7% |
| D | 13 | 3.2% |
| F | 10 | 2.4% |
| W | 10 | 2.4% |
Based on 410 student grade records across 23 terms and 9 professors.
Instructors
- Agnes Ozelkan 162 students, Average GPA 3.15
- Gabriel Zenarosa 69 students, Average GPA 3.03
- Lei Zhu 57 students, Average GPA 3.24
- Qiaochu He 38 students, Average GPA 2.83
- Guanglin Xu 35 students, Average GPA 3.40
- Linquan Bai 20 students, Average GPA 3.39
- Masoud Sobhani 10 students, Average GPA 3.40
- Vishnunarayan Girishan Prabhu 10 students, Average GPA 3.80
- Simon Hsiang 9 students, Average GPA 3.11