Machine Learning Algorithms - COMP521 (2018)

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
Internal assessment / examination:	100:0
Restriction(s):	COMP421

Semesters and Locations

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

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Timetabled Lectures for Machine Learning Algorithms (COMP521)

Day	Start	End	Room	Dates
Tue	10:00 AM	11:00 AM	G.1.15	Feb 26 - Jun 3
Fri	1:00 PM	2:00 PM	G.1.15	Feb 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)

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

Paper Outlines for Machine Learning Algorithms (COMP521)

The following paper outlines are available for Machine Learning Algorithms (COMP521).
If your paper occurrence is not listed contact the Faculty or School office.