CMDA-4664: Computational Intensive Stochastic Modeling
Description: Stochastic modeling methods with an emphasis in computing are taught. Select concepts from the classical and Bayesian paradigms are explored to provide multiple perspectives for how to learn from complex, datasets. There is particular focus on nested, spatial, and time series models.
Pathways: N/A
Course Hours: 3 credits
Sections Taught: 5
Average GPA: 3.29 (B+)
Strict A Rate (No A-) : 43.24%
Average Withdrawal Rate: 0.91%
| Michael R Johnson | 2024 | 55.1% | 24.4% | 16.8% | 1.3% | 1.5% | 0.9% | 3.29 | 5 |