PSTAT 174: TIME SERIES
University of California, Santa Barbara
Stationary and non-stationary models, seasonal time series, ARMA models: calculation of ACF, PACF, mean and ACF estimation. Barlett's formula, model estimation: Yule-Walker estimates, ML method. identification techniques, d iagnostic checking forecasting, spectral analysis, the periodogram. Current software and applications.
Average GPA: 3.28
Grade distribution records: 2,798 students across 39 terms.
Grade distribution
| Grade | Students | Percent |
|---|---|---|
| A+ | 229 | 8.2% |
| A | 706 | 25.2% |
| A- | 522 | 18.7% |
| B+ | 362 | 12.9% |
| B | 349 | 12.5% |
| B- | 227 | 8.1% |
| C+ | 137 | 4.9% |
| C | 121 | 4.3% |
| C- | 45 | 1.6% |
| D+ | 2 | 0.1% |
| D | 19 | 0.7% |
| D- | 8 | 0.3% |
| F | 71 | 2.5% |
Based on 2,798 student grade records across 39 terms and 12 professors.
Instructors
- Feldman R 957 students, Average GPA 3.08
- Ichiba T 440 students, Average GPA 3.82
- Bapat S R 310 students, Average GPA 3.53
- Tan Ying 243 students, Average GPA 3.41
- Konda S R 213 students, Average GPA 3.21
- Peters G W 129 students, Average GPA 3.20
- Terdik G 98 students, Average GPA 2.59
- Meiring W 92 students, Average GPA 3.05
- Gopalan G 89 students, Average GPA 3.61
- Carter A V 85 students, Average GPA 2.97
- Chronopoulou 72 students, Average GPA 3.17
- Sengupta D 70 students, Average GPA 2.90