 |
| 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. |
|---|
| 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 2601 OR UFUG 2602 |
|---|---|
| EXCLUSION | DSAA 3051 |
| CROSS CAMPUS COURSE EQUIVALENCE | COMP 4221 |
| DESCRIPTION | This course provides a comprehensive journey into Natural Language Processing, first establishing the essential computational fundamentals of words, syntax, and semantics, and then advancing to the modern architectures that define the LLM era, such as transformers and GPT. You will learn to bridge classic techniques with cutting-edge applications—mastering pre-training, fine-tuning, and prompt engineering—while critically examining the advanced capabilities and profound responsibilities surrounding fairness, security, and interpretability. Through a blend of foundational theory and hands-on projects, this course equips you to build, innovate, and lead in the rapidly evolving field of applied NLP. |
| Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
|---|---|---|---|---|---|---|---|---|
| L01 (6561) | MoWe 12:00PM - 01:20PM | Rm 101, W1 | YANG, Menglin | 80 Quota/Enrol/Avail UG Year 3&4 AI students: 80/0/80 | 0 | 80 | 0 |