| 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 |
| PRE-REQUISITE | (UFUG 2102 OR UFUG 2103) AND AIAA 2711 |
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| DESCRIPTION | Quantum computing represents a revolutionary computing paradigm with transformative potential for next-generation AI. This course provides a comprehensive introduction to quantum computing and quantum AI, guiding students from foundational concepts—such as qubits and quantum circuits—to advanced topics, including quantum algorithms, quantum error correction, quantum simulation, and quantum programming. The curriculum also introduces the foundations of the emerging area of quantum AI, covering quantum neural networks, quantum machine learning methods, and AI applications in quantum computing. It spans material from basic principles to the latest cutting-edge developments. |
| Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
|---|---|---|---|---|---|---|---|---|
| L01 (6553) | MoWe 12:00PM - 01:20PM | Rm 101, E4 | BAI, Ge WANG, Xin | 40 Quota/Enrol/Avail UG Year 3&4 AI students: 40/0/40 | 0 | 40 | 0 |
| PRE-REQUISITE | Score 120 or above in Gaokao Mathematics OR Level 5 or above in HKDSE Mathematics Extended Module M2 |
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| EXCLUSION | UFUG 1102 |
| DESCRIPTION | This course is the first of a year-long sequence of two courses in one-variable calculus, intended for first year undergraduate students with strong mathematical background. Besides the understanding of foundational concepts and practical skills in applying calculus, the course put emphasis on rigorous reasoning of practical facts and the proof of certain mathematical theorems. Topics include approximation, continuity, limit, differentiation, high order approximations and differentiation, and applications to optimization, monotonicity, and convexity. |
| Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
|---|---|---|---|---|---|---|---|---|
| L03 (6092) | MoWe 09:00AM - 10:20AM | Rm 235, E1 | BAI, Ge | 40 | 0 | 40 | 0 | |
| T03 (6100) | Tu 09:00AM - 09:50AM | Rm 148, E1 | BAI, Ge | 40 | 0 | 40 | 0 |