CEE-5174: Applied Analytics for Environmental Science and Civil Engineering
Description: Programing in multiple languages. Control structures for curating and manipulating data, user defined functions, implementation of data analysis packages, generation of publication quality graphics. Probability distributions, parametric and nonparametric bootstrapping. Nonparametric confidence bounds and prediction intervals for simple, multiple and generalized linear regression. Multivariate techniques including cluster analysis, classification and regression trees, principal component analysis, correspondence analysis, redundancy analysis, canonical correspondence analysis. Application to environmental science and engineering datasets. Pre: Graduate Standing.
Pathways: N/A
Course Hours: 3 credits
Corequisites: N/A
Crosslist: N/A
Repeatability: N/A
Sections Taught: 5
Average GPA: 3.66 (A-)
Strict A Rate (No A-) : 63.50%
Average Withdrawal Rate: 0.00%
| Gregory D Boardman | 2010 | 58.1% | 41.9% | 0.0% | 0.0% | 0.0% | 0.0% | 3.59 | 4 |
| Megan A Rippy | 2022 | 95.0% | 5.0% | 0.0% | 0.0% | 0.0% | 0.0% | 3.94 | 1 |