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| DESCRIPTION | This course provides guidance to undergraduate students of the AI major for their academic path and future. This course is mostly introductory and aims to inspire UG students for their academic path development and growth of maturity during their UG study. Activities may include seminars, workshops, advising and sharing sessions, interaction with faculty and teaching staff, and discussion with student peers or alumni. Graded P or F. |
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| Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
|---|---|---|---|---|---|---|---|---|
| L01 (6541) | Fr 12:00PM - 12:50PM | Lecture Hall B | BAI, Ge CHEN, Changhao CHEN, Yingcong CHU, Xiaowen DAI, Enyan HU, Zhiming LIU, Li RIKOS, APOSTOLOS SHU, Yao XIE, Zeke YANG, Menglin YUE, Yutao ZHONG, Bingzhuo | 200 | 0 | 200 | 0 |
| DESCRIPTION | Navigation is a core capability for intelligent vehicles, enabling environment perception, localization, and decision-making. This course provides a comprehensive understanding of vision-based navigation for unmanned systems, focusing on mobile robots and self-driving vehicles. It covers a wide range of topics, including multiview geometry, visual/-inertial state estimation, simultaneous localization and mapping (SLAM), place recognition, scene perception, and recent advances in embodied AI, equipping students with the theoretical and practical skills to design advanced navigation systems. Through hands-on projects using real-world datasets, students will gain experience in implementing and evaluating visual navigation solutions. Ideal for those interested in intelligent systems, computer vision, and AI, this course bridges theory and practice for autonomous systems development. |
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| Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
|---|---|---|---|---|---|---|---|---|
| L01 (6239) | Mo 01:30PM - 04:20PM | Rm 205, C7 Library | CHEN, Changhao | 30 | 0 | 30 | 0 |
| DESCRIPTION | Seminar topics presented by students, faculty and guest speakers. Students are expected to attend regularly and demonstrate proficiency in presentation in accordance with the program requirements. Graded P or F. |
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| Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
|---|---|---|---|---|---|---|---|---|
| T01 (6242) | Tu 05:00PM - 05:50PM | Rm 228, E2 | CHEN, Changhao | 80 | 0 | 80 | 0 |
| EXCLUSION | UFUG 2102 |
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| 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 |
|---|---|---|---|---|---|---|---|---|
| L09 (6815) | MoWe 10:30AM - 11:50AM | Rm 239, E1 | CHEN, Changhao | 50 | 0 | 50 | 0 | |
| T09 (6825) | Tu 01:30PM - 02:20PM | Rm 239, E1 | CHEN, Changhao | 50 | 0 | 50 | 0 |