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 |
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L01 (6363) | 01-SEP-2025 - 05-SEP-2025 Tu 09:00AM - 09:50AM | Lecture Hall B | DAI, Enyan | 155 | 0 | 155 | 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 |
VECTOR | [3-0-0:3] |
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DESCRIPTION | This course will introduce the fundamental principles, uses, and technical details of data mining techniques by lectures and real-world case studies. The emphasis is on understanding the basic data mining techniques and their applications. We will discuss the mechanics of how data analytics techniques work as is necessary to understand the fundamental concepts and real-world applications. |
Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
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L01 (6001) | We 09:00AM - 11:50AM | Rm 233, W1 | YANG, Menglin | 30 Quota/Enrol/Avail PhD (AI): 20/0/20 | 0 | 30 | 0 |