COMPX523

Machine Learning for Data Streams

2024

15

500

A Trimester

Hamilton

COMPX305 or COMPX310 or COMP316 or COMP321 and a further 30 points at 300 level in Computer Science and/or Electrical and Electronic Engineering.

COMP423, COMP523

Data streams are everywhere, from F1 racing over electricity networks to news feeds. Data stream mining relies on and develops new incremental algorithms that process streams under strict resource limitations.

Teaching Periods and Locations

24A (HAM)
Paper outline
A Trimester :
26 Feb 2024 - 23 Jun 2024
Hamilton On-campus 100% internal assessment

If your paper outline is not linked below, try the previous year's version of this paper.

Timetabled lectures

24A (HAM)
Name Day Time Room Dates
Lecture 1 Thur 9:00 AM - 11:00 AM G.1.15, Hamilton Feb 29 - Jun 2
Visit the online timetable for this paper for more details

Indicative Fees

  • You will be sent an enrolment agreement which will confirm your fees. Tuition fees shown 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.

Domestic
International
24A (HAM) $1,142

You will be sent an enrolment agreement which will confirm your fees. Tuition fees shown 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.

24A (HAM) $5,168

You will be sent an enrolment agreement which will confirm your fees. Tuition fees shown 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.

Available subjects

Additional information

  • Paper details current as of 2 Jun 2024 01:05am
  • Indicative fees current as of 14 Dec 2024 01:20am