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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 (6417) | Mo 04:30PM - 05:20PM | Rm 101, W1 | BAI, Ge CHEN, Huangxun CHU, Xiaowen KAN, Ge Lin LIANG, Junwei QIN, Chengwei RIKOS, APOSTOLOS WANG, Xin WANG, Zeyu XIE, Sihong XIE, Zeke YANG, Menglin YUE, Yutao | 100 | 0 | 100 | 0 |
| VECTOR | [1-3 credit(s)] |
|---|---|
| DESCRIPTION | An independent research project carried out under the supervision of a faculty member. |
| Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
|---|---|---|---|---|---|---|---|---|
| R03 (6341) | TBA | No room required | WANG, Zeyu | 5 | 0 | 5 | 0 | research topic: Computer Graphics Research |
| R14 (6352) | TBA | No room required | WANG, Zeyu | 5 | 0 | 5 | 0 | research topic: Creative AI Research |
| VECTOR | [0-1-0:1] |
|---|---|
| DESCRIPTION | This course aims at equipping RPg students of the Information Hub with the skills conducive to their professional career development. Students are required to attend the 3 hours' training focusing on personality self-exploration and discipline-specific training at the thrust level, and another 10 hours' training at the hub level, at their own choice. Graded PP, P or F. |
| Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
|---|---|---|---|---|---|---|---|---|
| T01 (6335) | We 03:30PM - 04:20PM | Lecture Hall B | TONG, Xin WANG, Zeyu ZHANG, Kang ZHOU, QIUSHI | 200 Quota/Enrol/Avail For PhD students only: 90/0/90 | 0 | 200 | 0 |
| DESCRIPTION | This course introduces students to the world of computer science, data analysis, and artificial intelligence. Through a series of lectures and hands-on exercises, students will learn the basics of each of these disciplines, and how they can be used to solve real-world problems. It will cover the following topics: an introduction to computer science, including an overview of its principles and concepts; the basics of data analysis, including methods for collecting, organizing, and analyzing data; an introduction to artificial intelligence, including an exploration of its various applications and capabilities; and an examination of how computer science, data analysis, and artificial intelligence can be used in combination to solve real-world problems. Upon completion of this course, students will have a strong foundation on which to build more advanced knowledge in these exciting fields. |
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| Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
|---|---|---|---|---|---|---|---|---|
| L03 (6610) | TuTh 10:30AM - 11:50AM | Lecture Hall C | WANG, Zeyu | 65 | 0 | 65 | 0 |