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.
|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|
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)
|Mon||1:00 PM||2:00 PM||S.G.01||Jul 13 - Oct 18|
|Thu||2:00 PM||3:00 PM||S.G.02||Jul 13 - Oct 18|
|Mon||1:00 PM||2:00 PM||TCBD.2.13||Jul 13 - Oct 18|
|Thu||2:00 PM||3:00 PM||TCBD.3.06||Jul 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 for Practical Data Mining (COMPX305)
The following 2019 paper outlines are available for COMPX305. Please contact the Faculty or School office for details on 2020 outlines.
Other available years: Practical Data Mining - COMPX305 (2019)
Paper details current as of : 14 February 2020 9:15am
Indicative fees current as of : 31 January 2020 4:26pm