FREC-1044: Introduction to Environmental Data Science
Description: Application of data science to environmental management. Role of data science, mathematical and statistical modeling, geospatial technology, database management, knowledge integration, and decision science in environmental decision-making. Skills and techniques required to assist scientists and managers with the challenges of collecting, collating, archiving, modeling, analyzing, visualizing, and communicating data in support of natural resource management.
Pathways: N/A
Course Hours: 3 credits
Corequisites: N/A
Crosslist: N/A
Repeatability: N/A
Sections Taught: 8
Average GPA: 3.52 (A-)
Strict A Rate (No A-) : 50.34%
Average Withdrawal Rate: 3.93%
| John P Gannon | 2023 | 65.3% | 22.1% | 8.6% | 1.1% | 0.0% | 2.9% | 3.51 | 5 |
| Amy M Blood | 2018 | 68.0% | 7.9% | 12.0% | 0.0% | 4.0% | 8.0% | 3.45 | 1 |
| Staff Derwin | 2017 | 83.3% | 12.5% | 4.2% | 0.0% | 0.0% | 0.0% | 3.73 | 1 |
| Evan B Brooks | 2016 | 45.5% | 36.4% | 9.1% | 0.0% | 0.0% | 9.1% | 3.46 | 1 |