AAEC-5484: Applied Economic Forecasting
Description: Forecasting economic, agricultural and environmental data using basic linear and non-linear time series models. Emphasis on programming and computational implementation of time series model-selection techniques and practical applications. Pre: Graduate Standing.
Pathways: N/A
Course Hours: 3 credits
Sections Taught: 7
Average GPA: 3.65 (A-)
Strict A Rate (No A-) : 67.11%
Average Withdrawal Rate: 0.00%
| Shamar L Stewart | 2024 | 73.6% | 19.3% | 5.4% | 0.0% | 1.8% | 0.0% | 3.65 | 7 |