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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 (6417) | Mo 04:30PM - 05:20PM | Rm 101, W1 | BAI, Ge CHEN, Huangxun CHU, Xiaowen KAN, Ge Lin LIANG, Junwei QIN, Chengwei RIKOS, APOSTOLOS WANG, Xin WANG, Zeyu XIE, Sihong XIE, Zeke YANG, Menglin YUE, Yutao | 100 | 55 | 45 | 0 | The class will be delivered by the following instructors and contents as below: W1: Zeke XIE - Overview of Deep Learning Theory W2: Yutao YUE - Towards Conscious AI W3: Menglin YANG - Foundation of LLM: From Pretraining, Mid Training to Post Training W4: Xiaowen CHU - Magic of Low-Precision Computing behind LLMs W5: Sihong XIE - Interpretable AI W6: Xin WANG - Foundations of Quantum Computing W7: Ge BAI - Quantum Entanglement and Applications W8: Chengwei Qin - LLM Reasoning and Agent W9: Zeyu WANG - Toward Synergistic Human-AI Content Creation W10: Huangxun CHEN - Overview of Embedded AI W11: Ge Lin Kan - Generative AI for Urban Digital Twin W12: Junwei Liang - Towards General Service Embodied AI W13: Apostolos RIKOS - AI and Multi-Agent Networks |
| VECTOR | [1-3 credit(s)] |
|---|---|
| DESCRIPTION | An independent research project carried out under the supervision of a faculty member. |
| Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
|---|---|---|---|---|---|---|---|---|
| R03 (6341) | TBA | No room required | WANG, Zeyu | 5 | 0 | 5 | 0 | research topic: Computer Graphics Research |
| R14 (6352) | TBA | No room required | WANG, Zeyu | 5 | 0 | 5 | 0 | research topic: Creative AI Research |
| VECTOR | [0-1-0:1] |
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| DESCRIPTION | This course aims at equipping RPg students of the Information Hub with the skills conducive to their professional career development. Students are required to attend the 3 hours' training focusing on personality self-exploration and discipline-specific training at the thrust level, and another 10 hours' training at the hub level, at their own choice. Graded PP, P or F. |
| Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
|---|---|---|---|---|---|---|---|---|
| T01 (6335) | We 03:30PM - 04:20PM | Lecture Hall B | CHAI, Ruonan CHEN, Wenkai TANG, Xiaqiang TONG, Xin WANG, Ruiming WANG, Zeyu YE, Hongni ZHANG, Kang ZHOU, QIUSHI | 250 | 250 | 0 | 0 |
| DESCRIPTION | This course introduces students to the world of computer science, data analysis, and artificial intelligence. Through a series of lectures and hands-on exercises, students will learn the basics of each of these disciplines, and how they can be used to solve real-world problems. It will cover the following topics: an introduction to computer science, including an overview of its principles and concepts; the basics of data analysis, including methods for collecting, organizing, and analyzing data; an introduction to artificial intelligence, including an exploration of its various applications and capabilities; and an examination of how computer science, data analysis, and artificial intelligence can be used in combination to solve real-world problems. Upon completion of this course, students will have a strong foundation on which to build more advanced knowledge in these exciting fields. |
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| Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
|---|---|---|---|---|---|---|---|---|
| L03 (6610) | TuTh 10:30AM - 11:50AM | Lecture Hall C | WANG, Zeyu | 65 | 29 | 36 | 0 |