CS4480 - Data-Intensive Computing
Offering Academic Unit
Department of Computer Science
Course Offering Term*:
Semester A 2018/19
|* The offering term is subject to change without prior notice|
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. Specifically, the main objective of this course is twofold: to familiarize students with software systems and techniques for implementing distributed data-parallel programs; to provide an insight into internal mechanisms of large-scale data analytical systems. Students will also have the opportunity to work on a real-world data processing problem by implementing scalable solutions using techniques and software systems covered in this course and to deploy their solutions on a large-scale commodity cluster.
Assessment (Indicative only, please check the detailed course information)
Continuous Assessment: 60%
Examination Duration: 2 hours
For a student to pass the course, at least 30% of the maximum mark for the examination must be obtained.
Detailed Course Information
|Department of Computer Science|