EE6435 - Multi-Dimensional Data Modeling and its Applications

Offering Academic Unit
Department of Electronic Engineering
Credit Units
3
Course Duration
One semester
Pre-requisite(s)
EE2331
Course Offering Term*:
Semester B 2018/19

* The offering term is subject to change without prior notice
 
Course Aims
This course aims to provide a fundamental understanding of multiple dimensional modeling and analysis techniques. The focus will be general modeling and methods for managing and analyzing large datasets, which are produced by different modern technologies. As we are living in the midst of a data explosion, the goal of this course is to equip the students with the ability to convert data into knowledge.

Assessment (Indicative only, please check the detailed course information)
Continuous Assessment: 40%
Examination: 60%
Examination Duration: 2 hours
 
Detailed Course Information
EE6435.pdf

Useful Links
Department of Electronic Engineering