AAEC-5014: Applied Economic Analytics
Description: Mathematical and statistical methods used in applied economic decision making. Applied mathematical optimization, statistical simulation, data visualization, probability theory and linear econometric models to economic, agricultural, and environmental data and problems. Extensive application of quantitative models and modern programming platforms used in applied economic analysis. Pre: Graduate Standing.
Pathways: N/A
Course Hours: 3 credits
Corequisites: N/A
Crosslist: N/A
Repeatability: N/A
Sections Taught: 3
Average GPA: 3.67 (rounds to A-)
Strict A Rate (No A-) : 65.39%
Average Withdrawal Rate: 2.08%
| Amador Mario A Ortez | 2024 | 94.7% | 0.0% | 0.0% | 0.0% | 5.3% | 0.0% | 3.71 | 1 |
| Matthew T Holt | 2023 | 75.4% | 18.4% | 0.0% | 0.0% | 3.1% | 3.1% | 3.66 | 2 |