COMPX523

Machine Learning for Data Streams

2019

15

500

A Trimester

Hamilton

COMPX305 or COMPX310 or COMP316 or COMP321 and a further 30 points at 300 level in Computer Science

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
19A (HAM)
Paper outline 		A Trimester :
25 Feb 2019 - 23 Jun 2019 		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

19A (HAM)
Name Day Time Room Dates
Lecture 1 Mon 9:00 AM - 10:00 AM - Feb 25 - Jun 2
Lecture 2 Thur 10:00 AM - 11:00 AM - Feb 28 - 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
19A (HAM) $1,031

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.
19A (HAM) $4,209

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

Software Engineering

Computer Science

Additional information

  • Paper details current as of 1 Jun 2024 00:10am
  • Indicative fees current as of 29 Oct 2024 01:20am