SDSC8009 - Data Mining and Knowledge Discovery

Offering Academic Unit
School of Data Science
Credit Units
Course Duration
One Semester
Basic Machine Learning Knowledge, Basic Social Network Analysis Knowledge
Course Offering Term*:
Not offering in current academic year

* The offering term is subject to change without prior notice
Course Aims

This course will offer students advanced algorithms for mining various types of complex data, especially graph data. The curriculum will start with the classical data mining methods for tabular and graph data and next move into data-driven system modelling with deep learning algorithms. We will review different model architectures and learning algorithms for network embedding and graph neural networks. We will go into recently popular research topics including self supervised learning, data efficient learning and data mining for social good, etc.

Assessment (Indicative only, please check the detailed course information)

Continuous Assessment: 100%
Detailed Course Information


Useful Links

School of Data Science