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 (6249) | Fr 09:00AM - 09:50AM | Rm 102, E4 | CHEN, Jintai CHEN, Yingcong DAI, Enyan HU, Xuming LIANG, Junwei LIU, Li RIKOS, APOSTOLOS SUN, Ying WANG, Hao WANG, Xin XIE, Sihong XIE, Zeke YUE, Yutao | 100 | 0 | 100 | 0 |
VECTOR | [3-0-0:3] |
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DESCRIPTION | This course delves into essential machine learning and deep learning algorithms for healthcare applications, covering areas such as life sciences discovery, medical image analysis, biosignal processing, medical data mining, and foundational models for electronic health records. Core topics include key methodologies for algorithm design, commonly used data structures, and widely adopted algorithms tailored to diverse healthcare challenges. Additionally, the course highlights the latest advancements in this rapidly evolving field. |
Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
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L01 (6011) | Mo 01:30PM - 04:20PM | Rm 102, E1 | CHEN, Jintai | 30 | 0 | 30 | 0 |
VECTOR | [0 credit] |
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DESCRIPTION | Series of seminars presenting research problems currently under investigation, presented by faculty, students, and visiting speakers. Students are expected to attend regularly. Graded P or F. |
Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
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T01 (6006) | We 11:00AM - 11:50AM | Rm 102, E4 | CHEN, Jintai | 80 | 0 | 80 | 0 |