Machine Learning Algorithms - COMP521 (2017)

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: 1:0
Restriction(s): COMP421

Semesters and Locations

Occurrence Code When taught Where taught
17A (HAM)A Semester : Feb 27 - Jun 25, 2017 Hamilton

Timetabled Lectures for Machine Learning Algorithms (COMP521)

Tue10:00 AM11:00 AMG.1.15Feb 27 - Jun 4
Fri1:00 PM2:00 PMG.1.15Feb 27 - Jun 4

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 
17A (HAM) $991 $0 $3924
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 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.

Additional Information

Available Subjects:  Computer Science

Other available years: Machine Learning Algorithms - COMP521 (2018)

Paper details current as of : 19 January 2018 11:30am
Indicative fees current as of : 20 January 2018 4:30am

This page has been reformatted for printing.