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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 (6363) | 01-SEP-2025 - 05-SEP-2025 Tu 09:00AM - 09:50AM | Lecture Hall B | DAI, Enyan | 155 | 150 | 5 | 0 | The class will be delivered by the following instructors as below. W1-Enyan Dai W2-Bingzhuo Zhong W3-Xin Wang W4-Sihong Xie W5-Menglin Yang W6-Yingcong Chen W7-Junwei Liang W8-Changhao Chen W9-Zeke Xie W10-Yutao Yue W11-Li LIU W12-Xuming Hu W13-Apostolos Rikos |
| 08-SEP-2025 - 12-SEP-2025 Tu 09:00AM - 09:50AM | Lecture Hall B | ZHONG, Bingzhuo | ||||||
| 15-SEP-2025 - 19-SEP-2025 Tu 09:00AM - 09:50AM | Lecture Hall B | WANG, Xin | ||||||
| 22-SEP-2025 - 26-SEP-2025 Tu 09:00AM - 09:50AM | Lecture Hall B | XIE, Sihong | ||||||
| 29-SEP-2025 - 11-OCT-2025 Tu 09:00AM - 09:50AM | Lecture Hall B | YANG, Menglin | ||||||
| 13-OCT-2025 - 17-OCT-2025 Tu 09:00AM - 09:50AM | Lecture Hall B | CHEN, Yingcong | ||||||
| 20-OCT-2025 - 24-OCT-2025 Tu 09:00AM - 09:50AM | Lecture Hall B | LIANG, Junwei | ||||||
| 27-OCT-2025 - 31-OCT-2025 Tu 09:00AM - 09:50AM | Lecture Hall B | CHEN, Changhao | ||||||
| 03-NOV-2025 - 07-NOV-2025 Tu 09:00AM - 09:50AM | Lecture Hall B | XIE, Zeke | ||||||
| 10-NOV-2025 - 14-NOV-2025 Tu 09:00AM - 09:50AM | Lecture Hall B | YUE, Yutao | ||||||
| 17-NOV-2025 - 21-NOV-2025 Tu 09:00AM - 09:50AM | Lecture Hall B | LIU, Li | ||||||
| 24-NOV-2025 - 28-NOV-2025 Tu 09:00AM - 09:50AM | Lecture Hall B | HU, Xuming | ||||||
| 01-DEC-2025 - 05-DEC-2025 Tu 09:00AM - 09:50AM | Lecture Hall B | RIKOS, APOSTOLOS |
| PRE-REQUISITE | DSAA 2011 |
|---|---|
| DESCRIPTION | Learning and optimization serve as the foundational block for many artificial intelligence algorithms. Our initial focus is on convex analysis and on modeling problems as convex problems, while later on in the course we will shift the focus to different algorithms for convex optimization and nonconvex optimization. The techniques introduced in this course will be motivated by needs of problems and applications in Machine Learning and Deep Learning. The topics range from foundational material to cutting-edge trends. |
| Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
|---|---|---|---|---|---|---|---|---|
| L01 (6399) | Th 03:00PM - 05:50PM | Rm 122, E1 | GONG, Zijun WANG, Xin | 50 | 27 | 23 | 0 |
| VECTOR | [3-0-0:3] |
|---|---|
| DESCRIPTION | This course provides a comprehensive introduction to the field of quantum computing. Students will explore fundamental concepts such as quantum bits, quantum circuits, and quantum algorithms. Advanced topics including quantum error correction, quantum information processing, and quantum machine learning will also be covered. |
| Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
|---|---|---|---|---|---|---|---|---|
| L01 (6005) | Mo 01:30PM - 04:20PM | Rm 202, W4 | BAI, Ge WANG, Xin | 40 | 21 | 19 | 0 |
| VECTOR | [2-0-0:2] |
|---|---|
| DESCRIPTION | This inquiry-based course aims to introduce students to the concepts and skills needed to drive digital transformation in the information age. Students will learn to conduct research, explore real-world applications, and discuss grand challenges in the four thrust areas of the Information hub, namely Artificial Intelligence, Data Science and Analytics, Internet of Things, and Computational Media and Arts. The course incorporates various teaching and learning formats including lectures, seminars, online courses, group discussions, and a term project. |
| Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
|---|---|---|---|---|---|---|---|---|
| L01 (6153) | Tu 09:00AM - 10:50AM | Lecture Hall A | LI, Hongyu TANG, Nan WANG, Xin WANG, Yuyang | 200 | 200 | 0 | 0 | |
| L02 (6154) | We 01:30PM - 03:20PM | Lecture Hall B | LI, Hongyu TANG, Nan WANG, Xin WANG, Yuyang | 200 | 200 | 0 | 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 |
|---|---|---|---|---|---|---|---|---|
| L04 (6573) | TuTh 12:00PM - 01:20PM | Rm 148, E1 | WANG, Xin | 48 | 48 | 0 | 0 | |
| T04 (6580) | Fr 04:30PM - 05:20PM | Rm 148, E1 | WANG, Xin | 48 | 48 | 0 | 0 |