Advanced Data Analytics (COMP8813)

Level: 
8
Credits: 
15.0 (0.125 EFTS)
Compulsory: 
No
Aim: 
The purpose of this course is to design, develop and implement an advanced Data Analytics system from a big data set using a data analytic tool. This will involve the application of advanced predictive machine learning techniques such as artificial neural networks and rule induction on datasets that are both large and unstructured.
Pre-requisites / Co-requisites: 
Students must be admitted to the Master of Applied Technologies programme or the Postgraduate Diploma in Applied Technologies programme to enrol in this course.
Timetable: 
Choose your class for this course from the option(s) below. You will need to attend all the sessions in that class to complete the course. Where more than one class number is shown, choose one of them and attend all sessions within that class number. (Note: If a class is held in different locations at the same time, you only need to attend all the sessions in one of the locations.)
There are no classes on public holidays.
Note: Currently, this course is not offered for any programme or this course is for an old programme.