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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 | The study of consciousness is referred to as the "ultimate challenge of artificial intelligence." This course provides instruction and discussions in the field of machine consciousness. The main content includes an introduction to consciousness research, mainstream theories of consciousness, research on self-awareness, attention mechanisms, optimization of intelligent agent goals, subjectivity and affective computing, consciousness modeling and evaluation of artificial intelligence systems, and analysis and control of risks related to machine consciousness. Through this course, participants can gain a fairly comprehensive and in-depth understanding of the research history and current status of the field of machine consciousness, and engage in collaborative research on several specific issues. |
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| Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
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| L01 (6027) | Fr 03:00PM - 05:50PM | Rm 134, E1 | YUE, Yutao | 60 Quota/Enrol/Avail PhD (AI): 20/0/20 PhD (INTR) and IIP (INTR): 20/0/20 | 0 | 60 | 0 |
| ATTRIBUTES | Common Core: Foundations (CTDL) |
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| DESCRIPTION | This course introduces the foundations and applications of Artificial Intelligence for non-specialist students. It emphasizes interdisciplinary perspectives, project-driven practice, and societal implications. Students will gain an understanding of AI background, core technologies (such as natural language processing, computer vision, and AI agents), and their impact on future careers and research. The course combines lectures, interactive classroom discussions, and project-based learning to cultivate creativity, critical thinking, and teamwork. By engaging in real-world projects, students will develop hands-on problem-solving skills and enhance their competitiveness in the digital era. Graded Pass/Fail. |
| Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
|---|---|---|---|---|---|---|---|---|
| L01 (6266) | TBA | TBA | CHEN, Jintai CHEN, Lei HU, Xuming LIU, Hao LIU, Li LIU, Xiaofeng XIA, Jun YUE, Yutao YUEN, Cheuk Yi Kelvin | 300 | 0 | 300 | 0 |