STA 5703: Data Mining Methodology I
University of Central Florida
Supervised data mining tools including boosting trees, SV machine, regression, and neural network will be covered. The Enterprise Miner (R or Python) will be used.
Average GPA: 3.79
Grade distribution records: 573 students across 16 terms.
Grade distribution
| Grade | Students | Percent |
|---|---|---|
| A | 406 | 70.9% |
| A- | 49 | 8.6% |
| B+ | 60 | 10.5% |
| B | 36 | 6.3% |
| B- | 4 | 0.7% |
| C | 4 | 0.7% |
| C- | 1 | 0.2% |
| F | 3 | 0.5% |
| U | 2 | 0.3% |
| W | 8 | 1.4% |
Based on 573 student grade records across 16 terms and 7 professors.
Instructors
- Chung-Ching M Wang 196 students, Average GPA 3.82
- Rui Xie 115 students, Average GPA 3.89
- Monsur Chowdhury 81 students, Average GPA 3.48
- Hsin-Hsiung Huang 68 students, Average GPA 3.90
- Aaron C Smith 62 students, Average GPA 3.89
- Mengyu Xu 30 students, Average GPA 3.52
- Emil Agbemade 21 students, Average GPA 3.74