Course Name | Department | University | Level | Average Class Size | Sample Modules |
---|---|---|---|---|---|
Monitoring and Analysis of the Environment | Environmental Science | VT | Senior | 30-40 | Errors in Measured Data |
Engineering Hydrology | Civil and Environmental Engineering | NC A&T | Junior | 30-40 | Time-series Analysis of Precipitation Data Rainfall-runoff Analysis using real-world high-frequency data |
Hydrology | Civil and Environmental Engineering | VT | Senior and graduate | 40-50 | Frequency Analysis in Hydrology |
Smart Cities | University Course | VU | Senior and graduate | 20-30 | Confidence Intervals Clustering Supervised Learning |
Ecology | Biological Sciences | VT | Sophomore | 65-100 | Introduction to Data Science: Visualization and Interpretation Ecology is Data! Effects of Acid Rain on Aquatic and Terrestrial Ecosystems |
Engineering Statistics | Industrial Engineering | NC A&T | Sophomore and junior | 30-50 | Basic Statistics Hypothesis Testing |
Ecosystems Engineering | Natural Resources and Environmental Design | NC A&T | Senior | 10-20 | Stormwater Monitoring and Data Science |
Modules | Uncertainty in Data Collection | Data Measurement | Data Access | Errors in Measured Data | Data Cleaning | Data Visualization (Interpretation) | Data Visualization (Communication) | Statistical Analysis |
---|---|---|---|---|---|---|---|---|
X | X | X | X | |||||
X | X | |||||||
Rainfall-runoff Analysis using real-world high-frequency data | X | X | ||||||
Frequency Analysis in Hydrology | X | X | X | X | X | X | ||
X | X | X | ||||||
X | X | X | X | |||||
X | X | X | ||||||
Introduction to Data Science: Visualization and Interpretation | X | X | X | |||||
Ecology is Data | X | X | X | X | X | |||
Effects of Acid Rain on Aquatic and Terrestrial Ecosystems | X | X | X | |||||
X | X | X | ||||||
X | X | X | X | |||||
Stormwater Monitoring and Data Science | X | X | X | X |