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| DESCRIPTION | Data science changes the way people process data in different areas. It has promoted the development of many subjects. This course introduces beginners to the whole lifecycle of data science problems and solutions. The course will help students comprehensively understand the basic knowledge of data science and use computer techniques to handle the real-life data science problems. Topics covered include: data collection and processing, computer-oriented modelling techniques, relationship with other mathematics, and case studies. |
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| Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
|---|---|---|---|---|---|---|---|---|
| L01 (6251) | TuTh 04:30PM - 05:50PM | Rm 101, E1 | LI, Lei WANG, Wei ZHANG, Yongqi | 80 | 19 | 61 | 0 | |
| LA01 (6252) | Fr 12:00PM - 12:50PM | Rm 101, E1 | LI, Lei WANG, Wei ZHANG, Yongqi | 80 | 19 | 61 | 0 |
| VECTOR | [3-0-0:3] |
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| PREVIOUS CODE | DSAA 6000B |
| DESCRIPTION | Graph, as a very expressive model, has been widely used to model real-world entities and their relationships in application-specific networks. In this course, students will gain a thorough introduction to the basics of graph theories, as well as cutting-edge research in deep learning for graphs. The topics include graph embeddings, graph neural networks, graph clustering models, graph generative models, adversarial attacks on graphs, graph reasoning, etc. |
| Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
|---|---|---|---|---|---|---|---|---|
| L01 (6062) | Mo 03:00PM - 05:50PM | Rm 228, E2 | ZHANG, Yongqi | 60 | 49 | 11 | 0 |