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| 1.
| [Advanced Topics in Database]
Able to understand the background and knowledge of some advanced topics in database that have become key techniques in modern database theory and practices; typical topics are distributed concurrency control, database recovery, query optimization, spatial databases. |
| 2.
| [Recent Development in Database Research]
Able to understand the background and knowledge of some contemporary topics in database research; typical topics are data mining, uncertainty data management, XML data. |
| 3.
| [Recent Development in Information Management]
Able to understand the background and knowledge of some contemporary topics in information management, typical topics are cloud computing, web information management, social network technology. |
| 4.
| [Application Development]
Able to implement some practical application modules based on selected advanced database techniques.
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Mapping from Course Learning Outcomes to Programme Learning Outcomes
| | PLO a | PLO b | PLO c | PLO d | PLO e | PLO f | PLO g | PLO h | PLO i | PLO j |
| CLO 1 | T | T | T | | | | | | | |
| CLO 2 | T | T | T | | | | | | | |
| CLO 3 | T | T | T | | | | | | | |
| CLO 4 | T,P | T,P | T,P | | | | | | | |
T - Teach, P - Practice
For BEng(CompSc) Programme Learning Outcomes, please refer to
here.
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Calendar Entry:
The course will study some advanced topics and techniques in database systems, with a focus on the system and algorithmic aspects. It will also survey the recent development and progress in selected areas. Topics include: query optimization, spatial-spatiotemporal data management, multimedia and time-series data management, information retrieval and XML, data mining.
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