| VECTOR | [3-0-0:3] |
|---|---|
| DESCRIPTION | Intelligent connected vehicles (ICVs) are believed to change people’s life in the near future by making the transportation safer, cleaner and more comfortable. Although many prototypes of ICVs have been developed to prove the concept of autonomous driving and the feasibility of improving traffic efficiency, there still exists a significant gap before achieving mass production of high-level ICVs. This course aims to present an overview of both the state of the art and future perspectives of key technologies that are needed for future ICVs. Through the study of this course, students will understand and master the basic concepts, key technologies and applications of ICV, and initially learn and master the ability to use that knowledge to solve practical problems, especially in cross-disciplinary communication and transportation context. |
| Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
|---|---|---|---|---|---|---|---|---|
| L01 (6142) | Mo 09:00AM - 11:50AM | Rm 102, E1 | ZHENG, Xinhu | 30 | 0 | 30 | 0 |
| PRE-REQUISITE | UFUG 1103 OR UFUG 1106 |
|---|---|
| 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 |
|---|---|---|---|---|---|---|---|---|
| L06 (6637) | WeFr 03:00PM - 04:20PM | Rm 148, E1 | ZHENG, Xinhu | 60 | 0 | 60 | 0 | |
| T06 (6638) | Fr 06:00PM - 06:50PM | Rm 148, E1 | ZHENG, Xinhu | 60 | 0 | 60 | 0 |
| PRE-REQUISITE | UFUG 1601 |
|---|---|
| DESCRIPTION | This course introduces common data structures and algorithms. Data structures include arrays and matrices, linked lists, stacks, priority queues, hash tables, trees, and graphs. Algorithms include sorting, hashing, searching, greedy methods, divide-and-conquer, dynamic programming, and branch-and-bound. Students will learn Python implementations of these data structures and algorithms, and solve programming problems with learned techniques. |
| Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
|---|---|---|---|---|---|---|---|---|
| L02 (6684) | Mo 01:30PM - 02:50PM | Rm 101, W4 | ZHENG, Xinhu | 48 | 0 | 48 | 0 | |
| We 01:30PM - 02:50PM | Rm 101, E4 | ZHENG, Xinhu |