| Call Number | 13469 |
|---|---|
| Day & Time Location |
W 4:10pm-6:40pm To be announced |
| Points | 3 |
| Grading Mode | Standard |
| Approvals Required | None |
| Instructor | Pierre Gentine |
| Type | LECTURE |
| Method of Instruction | In-Person |
| Course Description | Aimed at understanding and testing state-of?the-art methods in machine learning applied to environmental sciences and engineering problems. Potential applications include but are not limited to remote sensing, and environmental and geophysical fluid dynamics. Includes testing "vanilla" ML algorithms, feedforward neural networks, random forests, shallow vs deep networks, and the details of machine learning techniques. |
| Web Site | Vergil |
| Department | Earth and Environmental Engineering |
| Enrollment | 25 students (60 max) as of 11:06AM Friday, April 25, 2025 |
| Subject | Earth and Environmental Engineering |
| Number | E4000 |
| Section | 001 |
| Division | School of Engineering and Applied Science: Graduate |
| Section key | 20253EAEE4000E001 |