| Call Number | 14070 |
|---|---|
| Day & Time Location |
W 4:10pm-6:40pm 337 Seeley W. Mudd Building |
| Points | 3 |
| Grading Mode | Standard |
| Approvals Required | None |
| Instructor | Waiching Sun |
| Type | LECTURE |
| Method of Instruction | In-Person |
| Course Description | Theoretical, computational, and data-driven/machine learning techniques to derive, test, and validate computer models for solid mechanics (e.g., soil, rubber, and metals). Machine learning and data-driven simulations enabled by deep learning. |
| Web Site | Vergil |
| Department | Civil Engineering and Engineering Mechanics |
| Enrollment | 6 students (25 max) as of 11:44PM Monday, June 16, 2025 |
| Subject | Civil Engineering |
| Number | E4253 |
| Section | 001 |
| Division | School of Engineering and Applied Science: Graduate |
| Open To | Engineering:Graduate, GSAS |
| Section key | 20233CIEN4253E001 |