CS5488 - Big Data Algorithms and Techniques

Offering Academic Unit
Department of Computer Science
Credit Units
Course Duration
One Semester
Course Offering Term*:
Semester A 2018/19

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

This course is aimed at equipping students with the ability to manage very large data sets (Big Data) using a cluster of commodity machines with the main focus on the Hadoop ecosystem. It has three specific objectives: (1) to familiarize students with software systems and techniques for implementing distributed data-parallel programs, (2) to provide insight into internal mechanisms of large-scale data analytical systems, and (3) to acquaint students with big data solutions deployed in real-world settings. Students will also have the opportunity to analyse and to compare real-world big data solutions in a class project case study.

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

Continuous Assessment: 60%
Examination: 40%
Examination Duration: 2 hours
Detailed Course Information


Useful Links

Department of Computer Science