Advanced Machine Learning - COMPX521 (2019)

This paper exposes students to more advanced topics in machine learning. Rule induction, numeric prediction, clustering and state-of-the-art ensemble learning methods are among the topics covered.

Paper Information

Points: 15.0
Prerequisite(s): COMPX305 or COMPX310 or COMP316 or COMP321 and a further 30 points at 300 level in Computer Science
Internal assessment / examination: 100:0
Restriction(s): COMP421, COMP521

Semesters and Locations

Occurrence Code When taught Where taught
19A (HAM)A Semester : 25 Feb 2019 - 23 Jun 2019 Hamilton

Timetabled Lectures for Advanced Machine Learning (COMPX521)

DayStartEndRoomDates
Tue1:00 PM2:00 PMS.G.02Mar 4 - Jun 2
Fri1:00 PM2:00 PMI.1.05Feb 25 - Jun 2

NB:There may be other timetabled events for this paper such as tutorials or workshops.
Visit the online timetable for COMPX521 for more details


Indicative Fees for Advanced Machine Learning (COMPX521)

Occurrence Domestic International
 Tuition Resource 
19A (HAM) $1031 $0 $4209
You will be sent an enrolment agreement which will confirm your fees.
Tuition fees shown below are indicative only and may change. There are additional fees and charges related to enrolment - please see the Table of Fees and Charges for more information.

Paper Outlines for Advanced Machine Learning (COMPX521)

The following paper outlines are available for Advanced Machine Learning (COMPX521).
If your paper occurrence is not listed contact the Faculty or School office.

Additional Information

Available Subjects:  Computer Science | Security and Crime Science | Software Engineering

Paper details current as of : 11 July 2019 9:13am
Indicative fees current as of : 5 February 2019 5:10pm

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