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| PREVIOUS CODE | INTR 6000G |
|---|---|
| DESCRIPTION | Emergent innovations in autonomy, connectivity and shared mobility are revolutionizing vehicular traffic systems. Developing comprehensive and systematic understandings of traffic dynamics is essential to drive these innovations to reinvent transportation systems. The course covers different aspects of vehicular traffic flow dynamics and how to describe and simulate them with mathematical models. This course starts with how to obtain and interpret traffic flow data, the basis of any quantitative traffic modeling. The second and main part of this course introduces different approaches and models to mathematically describe vehicular traffic flow, and their application in simulation from microscopic to macroscopic level. The last part of this course introduces major applications of traffic flow theory including traffic flow management schemes, mix-autonomy traffic flow modeling and advanced control and sensing strategies by connected and automated vehicles. |
| Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
|---|---|---|---|---|---|---|---|---|
| L01 (6230) | Tu 01:30PM - 04:20PM | Rm 201, W1 | YU, Huan | 20 | 10 | 10 | 0 |
| EXCLUSION | UFUG 2102 |
|---|---|
| DESCRIPTION | Linear algebra is central to almost all areas of mathematics and is also used in most sciences and fields of engineering. This course provides a comprehensive introduction to topics of linear algebra studies, including linear systems, vector spaces, matrices, linear mappings and matrix forms, inner products, orthogonality and Gram-Schmidt process, eigenvalues and eigenvectors, symmetric matrices and diagonalization, and determinants. |
| Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
|---|---|---|---|---|---|---|---|---|
| L07 (6813) | Fr 03:00PM - 05:50PM | Rm 102, W4 | YU, Huan | 50 | 50 | 0 | 0 | |
| T07 (6823) | Mo 06:30PM - 07:20PM | Rm 102, W4 | YU, Huan | 50 | 50 | 0 | 0 |