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: 6
Average GPA: 3.58 (rounds to A-)
Strict A Rate (No A-) : 54.89%
Average Withdrawal Rate: 2.39%
| John P Gannon | 2023 | 65.3% | 22.1% | 8.6% | 1.1% | 0.0% | 2.9% | 3.51 | 5 |
| John C Morgan | 2024 | 94.8% | 2.6% | 2.6% | 0.0% | 0.0% | 0.0% | 3.91 | 1 |