COMPX205

Data Mining

2023

15

200

Hamilton, Tauranga

15 points from any MATHS or STATS 100 level papers or ENGEN102

To see available locations for each teaching period, view the teaching periods and locations table.

This paper is a practical introduction to data mining using machine learning techniques. Students will gain hands-on experience using the Weka open-source machine learning software developed by the Department of Computer Science and used by companies and universities both in New Zealand and overseas.

Teaching Periods and Locations

  • 23A (HAM)
    Cancelled
    Contact the School or Faculty Office for more information.
  • 23A (TGA)
    Cancelled
    Contact the School or Faculty Office for more information.
23A (HAM)
 Cancelled Contact the School or Faculty Office for more information.
23A (TGA)
 Cancelled Contact the School or Faculty Office for more information.

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

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
23A (HAM) $951
23A (TGA) $951

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.
23A (HAM) $4,343
23A (TGA) $4,343

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.

Additional information

  • Paper details current as of 1 Jun 2024 22:28pm
  • Indicative fees current as of 11 Dec 2024 01:20am