SEGR 4154: Bayesian Analysis for Human Decision
University of North Carolina, Charlotte
The Bayesian approach to decision-making with numerous applications in engineering, business, and healthcare. Topics include Information Theory; Signal Detection and ROC curve; Principle Components and Structural Equation Modeling; d-Separation, Bayesian networks and Causality Inference.
Average GPA: 2.79
Grade distribution records: 68 students across 4 terms.
Grade distribution
| Grade | Students | Percent |
|---|---|---|
| A | 19 | 27.9% |
| B | 20 | 29.4% |
| C | 15 | 22.1% |
| D | 7 | 10.3% |
| F | 1 | 1.5% |
| W | 4 | 5.9% |
Based on 68 student grade records across 4 terms and 1 professor.
Instructors
- Simon Hsiang 68 students, Average GPA 2.79