Advanced Machine Learning - COMPX521 (2020)

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
20A (HAM)A Semester : 2 Mar 2020 - 28 Jun 2020 Hamilton

Timetabled Lectures for Advanced Machine Learning (COMPX521)

DayStartEndRoomDates
Tue1:00 PM2:00 PMS.G.02Mar 2 - Jun 7
Fri1:00 PM2:00 PMI.1.05Mar 2 - Jun 7

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

Fees for 2020 are not yet available.


Paper Outlines

The following 2019 paper outlines are available for COMPX521. Please contact the Faculty or School office for details on 2020 outlines.

Additional Information

Available Subjects:  Computer Science | Electrical and Electronic Engineering | Mechatronics Engineering | Security and Crime Science | Software Engineering

Other available years: Advanced Machine Learning - COMPX521 (2019)

Paper details current as of : 16 October 2019 10:03am
Indicative fees current as of : 29 July 2019 3:04pm

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