Machine Learning (ISCG8050)

Level: 
8
Credits: 
15 (0.125 EFTS)
Compulsory: 
No
Aim: 
To develop an advanced technical knowledge and enhanced understanding of a number of Machine Learning techniques and their application from among a wide range of Intelligent Data and Information Processing Systems including Business Intelligence, Cyber-security, Speech Processing, Automation and Computer Vision.
Pre-requisites / Co-requisites: 
Students must be admitted to the Master of Computing programme or the Postgraduate Diploma in Computing programme to enrol in this course. Pre-requisite: Academic Leader approval.
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.

Class: 2465. This timetable is currently unavailable.

Class: 5291

You need to attend all sessions of this class as listed below.

From - To Session Day Time Campus (Room)
27 Jul 19 - 27 Jul 19 Computing Saturday 13:30 - 17:30 Mt Albert (183-1004)
28 Jul 19 - 28 Jul 19 Computing Sunday 13:30 - 17:30 Mt Albert (183-1004)
24 Aug 19 - 24 Aug 19 Computing Saturday 13:30 - 17:30 Mt Albert (183-1004)
25 Aug 19 - 25 Aug 19 Computing Sunday 13:30 - 17:30 Mt Albert (183-1004)
21 Sep 19 - 21 Sep 19 Computing Saturday 13:30 - 17:30 Mt Albert (183-1004)
22 Sep 19 - 22 Sep 19 Computing Sunday 13:30 - 17:30 Mt Albert (183-1004)
19 Oct 19 - 19 Oct 19 Computing Saturday 13:30 - 17:30 Mt Albert (183-1004)
20 Oct 19 - 20 Oct 19 Computing Sunday 13:30 - 17:30 Mt Albert (183-1004)

Class: 6425. This timetable is currently unavailable.

Note: This course is offered as part of Master of Computing, Postgraduate Diploma in Computing.

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