Handbook

This subject covers the principles, techniques and applications of processing and analysing big data. The first part of this subject introduces the fundamental concepts, platforms, systems, and tools for big data analysis, to give students a basic understanding of this field. The second part introduces the main analytics algorithms that are used to uncover the underlying patterns and rules in big data; including classification, regression, clustering, recommendation and retrieval algorithms. The third part then focuses on case studies and the practical application of big data analytics to help students gain a better understanding of these algorithms. This subject will equip students with the fundamental knowledge on big data analytics and the skills to appropriately choose and apply algorithms to resolve practical analytics problems.