COMP521

Machine Learning Algorithms

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.

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): Either COMP316 or COMP321, and a further 40 points at 300 level in Computer Science
Restriction(s): COMP421
Internal assessment / examination: 100:0

Semesters and Locations

Occurrence Code When taught Where taught
18A (HAM)A Semester : Feb 26 - Jun 24, 2018 Hamilton

Timetabled Lectures for Machine Learning Algorithms (COMP521)

DayStartEndRoomDates
Tue10:00 AM11:00 AMG.1.15Feb 26 - Jun 3
Fri1:00 PM2:00 PMG.1.15Feb 26 - Jun 3

NB:There may be other timetabled events for this paper such as tutorials or workshops.
Visit the online timetable for COMP521 for more details


Indicative Fees for Machine Learning Algorithms (COMP521)

Occurrence Domestic International
 Tuition Resource 
18A (HAM) $1011 $0 $4008
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

The following 2017 paper outlines are available for COMP521. Please contact the Faculty or School office for details on 2018 outlines.

Additional Information

Available Subjects:  Computer Science | Security and Crime Science

Other available years: Machine Learning Algorithms - COMP521 (2017)

Paper details current as of : 13 December 2017 3:08pm
Indicative fees current as of : 14 December 2017 4:30am

This page has been reformatted for printing.