Practical Data Mining - COMPX305 (2019)
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|
|19B (HAM)||B Semester : 8 Jul 2019 - 3 Nov 2019||Hamilton|
|19B (TGA)||B Semester : 8 Jul 2019 - 3 Nov 2019||Tauranga|
Timetabled Lectures for Practical Data Mining (COMPX305)
|Mon||1:00 PM||2:00 PM||S.G.01||Jul 8 - Oct 13|
|Thu||2:00 PM||3:00 PM||S.G.02||Jul 8 - Oct 13|
|Mon||1:00 PM||2:00 PM||TCBD.2.09||Jul 8 - Oct 13|
|Thu||2:00 PM||3:00 PM||TCBD.3.06||Jul 8 - Oct 13|
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)
Paper outlines are currently not available for this paper. Please contact the Faculty or School office for further details.
Paper details current as of : 18 June 2019 9:47am
Indicative fees current as of : 5 February 2019 5:10pm