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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 |
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| 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 | AIAA 2205 AND AIAA 2711 |
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| DESCRIPTION | This course focuses on human-centered AI techniques that include three main topics: AI for understanding human, human-AI interaction, and human-AI coexistence. On the first topic, this course will introduce AI methods for human visual attention modeling, human body movement modeling, human emotion modeling, human activity and intention recognition, and human cognitive state detection, etc. On the second topic, this course will introduce interactive machine learning, human-centered AI system design, AI assistant and agent, etc. On the third topic, this course will introduce explainable AI, AI ethics, AI fairness, and AI trust. Students are required to accomplish mini course projects to enhance the knowledge and skills that they learn in this course. |
| Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
|---|---|---|---|---|---|---|---|---|
| L01 (6560) | We 03:00PM - 05:50PM | Rm 201, E1 | HU, Zhiming | 40 | 0 | 40 | 0 |