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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 | [2-0-0:2] |
|---|---|
| DESCRIPTION | This inquiry-based course aims to introduce students to the concepts and skills needed to drive digital transformation in the information age. Students will learn to conduct research, explore real-world applications, and discuss grand challenges in the four thrust areas of the Information hub, namely Artificial Intelligence, Data Science and Analytics, Internet of Things, and Computational Media and Arts. The course incorporates various teaching and learning formats including lectures, seminars, online courses, group discussions, and a term project. |
| Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
|---|---|---|---|---|---|---|---|---|
| L01 (6333) | Tu 09:00AM - 10:50AM | Lecture Hall B | LI, Hongyu LUO, Yuxiang TANG, Nan WANG, Xin WANG, Yuyang YIN, Shengming ZHU, Lin ZHU, Yitong | 200 | 188 | 12 | 0 | |
| L02 (6334) | We 01:30PM - 03:20PM | Lecture Hall B | HUANG, Erdong LI, Hongyu SHI, Langjing TANG, Nan WANG, Sudong WANG, Xin WANG, Yuyang ZHENG, Jianing | 200 | 182 | 18 | 0 |
| VECTOR | [3-0-0:3] |
|---|---|
| DESCRIPTION | This is an introductory course to entrepreneurship research. Entrepreneurship is defined as the creation and growth of business ventures, either as new organizations or inside existing ones, and as transformation of existing organizations. This course covers fundamental readings and current research with an emphasis on business venture creation. The objective is to give enough training that students can follow and contribute to entrepreneurship research. |
| Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
|---|---|---|---|---|---|---|---|---|
| L01 (6159) | Tu 01:30PM - 04:20PM | Rm 202, W4 | WANG, Xin | 40 | 6 | 34 | 0 |