Data Mining - COMPX205 (2022)

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.

Paper Information

Points: 15.0
Prerequisite(s): (At least one of COMPX101, ENGEN103) and (at least one of STATS111 or STATS121).
Internal assessment / examination: 67:33
Restriction(s): COMPX305, STATS321

Trimesters and Locations

Occurrence Code When taught Where taught
22A (HAM)A Trimester : 7 Mar 2022 - 3 Jul 2022 Hamilton
22A (TGA)A Trimester : 7 Mar 2022 - 3 Jul 2022 Tauranga

Timetabled Lectures for Data Mining (COMPX205)

DayStartEndRoomDates
COMPX205-22A (HAM)
Mon4:00 PM5:00 PML.G.03Mar 7 - Jun 5
Thu11:00 AM12:00 PMMSB.1.01Mar 7 - Jun 12
COMPX205-22A (TGA)
Mon4:00 PM5:00 PMTCBD.3.06Mar 7 - Jun 5
Thu11:00 AM12:00 PMTCBD.3.06Mar 7 - Jun 12

NB:There may be other timetabled events for this paper such as tutorials or workshops.
Visit the online timetable for COMPX205 for more details


Indicative Fees for Data Mining (COMPX205)

Occurrence Domestic International
 Tuition Resource 
22A (HAM) $926 $4136
22A (TGA) $926 $4136
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

The following 2021 paper outlines are available for COMPX205. Please contact the Faculty or School office for details on 2022 outlines.

Additional Information

Available Subjects:  Applied Computing | Computer Science

Other available years: Data Mining - COMPX205 (2021)

Paper details current as of : 26 November 2021 8:46am
Indicative fees current as of : 3 December 2021 4:32am

This page has been reformatted for printing.