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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 | 0 | 100 | 0 |
| PRE-REQUISITE | DSAA 2043 |
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| DESCRIPTION | The course aims to introduce advanced methods for designing and analyzing algorithms for solving tough problems. The topics cover useful advanced data structures, graph algorithms, heuristic searching algorithms and optimization algorithms that promote the development of AI. Also, students will learn algorithm design and analysis skills for computationally intractable problems, such as NP-completeness, randomized algorithms, approximation algorithms and amortized analysis. Additional topics, such as string matching, geometric and number-theoretic algorithms, will also be introduced. The course presents the topics at an introductory level and aims at senior undergraduate students. Through the class, students will develop a deeper understanding of algorithm design and demonstrate a basic understanding of the principles of advanced algorithms. |
| Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
|---|---|---|---|---|---|---|---|---|
| L01 (6431) | Fr 09:00AM - 11:50AM | Rm 201, W2 | BAI, Ge | 30 Quota/Enrol/Avail BEng (AI) Year 3 Students: 30/0/30 | 0 | 30 | 0 |