DTSC 3602: Predictive Analytics and Their Implications B
University of North Carolina, Charlotte
In this studio, students learn the ethical use of machine learning to develop models and predictive features from unstructured data to explore a data science approach to socially relevant challenges. Validity of predictions are analyzed using appropriate statistical hypothesis tests. The ethical implications of collecting and using data from external sources are also discussed.
Average GPA: 3.50
Grade distribution records: 195 students across 4 terms.
Grade distribution
| Grade | Students | Percent |
|---|---|---|
| A | 129 | 66.2% |
| B | 47 | 24.1% |
| C | 12 | 6.2% |
| D | 2 | 1.0% |
| F | 5 | 2.6% |
Based on 195 student grade records across 4 terms and 1 professor.
Instructors
- Nadia Najjar 195 students, Average GPA 3.50