Practical Data Mining - COMPX305 (2020)

This paper introduces students to techniques for automatically finding and exploiting patterns in datasets, covering basic techniques applied in data analytics, data mining, machine learning, and big data. The well-known, locally-made Weka software will be used as the software environment for this paper.

Paper Information

Points: 15.0
Prerequisite(s): (At least one of COMPX101, ENGEN103, COMP103, or ENGG182), (at least one of STATS111, STATS121, STAT111, STAT121), and 30 points at 200 level in Computer Science.
Internal assessment / examination: 100:0
Restriction(s): COMP321

Trimesters and Locations

Occurrence Code When taught Where taught
20B (HAM)B Trimester : 13 Jul 2020 - 8 Nov 2020 Hamilton
20B (TGA)B Trimester : 13 Jul 2020 - 8 Nov 2020 Tauranga

Timetabled Lectures

The Timetable for 2020 is not available.


Indicative Fees for Practical Data Mining (COMPX305)

Occurrence Domestic International
 Tuition Resource 
20B (HAM) $900 $3824
20B (TGA) $900 $3824
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 for Practical Data Mining (COMPX305)

The following paper outlines are available for Practical Data Mining (COMPX305).
If your paper occurrence is not listed contact the Faculty or School office.

Additional Information

Available Subjects:  Applied Computing | Computer Science | Data Analytics

Other available years: Practical Data Mining - COMPX305 (2019)

Paper details current as of : 3 October 2023 8:50am
Indicative fees current as of : 5 October 2023 4:30am

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