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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 | UFUG 2601 OR UFUG 2602 |
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| DESCRIPTION | The objective of this course is to present an overview of the principles and practices of AI and to address complex real-world problems. Through introduction of AI tools and techniques, the course helps students develop a basic understanding of problem solving, search, theorem proving, knowledge representation, reasoning and planning methods of AI; and develop practical applications in vision, language, and so on. Topics include foundations (search, knowledge representation, machine learning and natural language understanding) and applications (data mining, decision support systems, adaptive web sites, web log analysis). |
| Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
|---|---|---|---|---|---|---|---|---|
| L01 (6364) | TuTh 01:30PM - 02:50PM | Rm 102, E4 | LIU, Li | 100 | 91 | 9 | 0 |
| VECTOR | [3-0-0:3] |
|---|---|
| DESCRIPTION | This course aims to provide students with an overview of Artificial Intelligence (AI) principles and techniques. Key topics include machine learning, search, game theories, Markov decision process, constraint satisfaction problems, Bayesian networks, etc. Through this course, students will learn and practice the foundational principles, techniques and tools to tackle new AI problems. |
| Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
|---|---|---|---|---|---|---|---|---|
| L01 (6003) | Th 09:00AM - 11:50AM | Rm 101, E1 | LIU, Li | 80 | 80 | 0 | 0 |