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: 67:33
Restriction(s): COMP321

Semesters and Locations

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

Timetabled Lectures for Practical Data Mining (COMPX305)

COMPX305-20B (HAM)
Mon1:00 PM2:00 PMS.G.01Jul 13 - Oct 18
Thu2:00 PM3:00 PMS.G.02Jul 13 - Oct 18
COMPX305-20B (TGA)
Mon1:00 PM2:00 PMTCBD.2.13Jul 13 - Oct 18
Thu2:00 PM3:00 PMTCBD.3.06Jul 13 - Oct 18

NB:There may be other timetabled events for this paper such as tutorials or workshops.
Visit the online timetable for COMPX305 for more details

Indicative Fees

Fees for 2020 are not yet available.

Paper Outlines

The following 2019 paper outlines are available for COMPX305. Please contact the Faculty or School office for details on 2020 outlines.

Additional Information

Available Subjects:  Applied Computing | Computer Science | Data Analytics

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

Paper details current as of : 16 October 2019 10:03am
Indicative fees current as of : 29 July 2019 3:04pm

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