Machine Learning - COMPX310 (2019)

This paper introduces Machine Learning (ML) which is the science of making predictions. ML algorithms strive to be fast and highly accurate, while processing large datasets. This paper will use standard Python-based ML toolkits to teach the fundamentals of ML.

Paper Information

Points: 15.0
Prerequisite(s): COMP103 or COMPX101 or ENGG182 or ENGEN103 and STAT121 or STATS121
Internal assessment / examination: 50:50
Restriction(s): COMP316

Semesters and Locations

Occurrence Code When taught Where taught
19A (HAM)A Semester : 25 Feb 2019 - 23 Jun 2019 Hamilton
19A (TGA)A Semester : 25 Feb 2019 - 23 Jun 2019 Tauranga

Timetabled Lectures for Machine Learning (COMPX310)

DayStartEndRoomDates
COMPX310-19A (HAM)
Mon2:00 PM3:00 PMS.G.03Feb 25 - Jun 2
Thu3:00 PM4:00 PMS.G.01Feb 25 - Jun 2
COMPX310-19A (TGA)
Mon2:00 PM3:00 PMTCBD.2.13Feb 25 - Jun 2
Thu3:00 PM4:00 PMTCBD.3.03Feb 25 - Jun 2

NB:There may be other timetabled events for this paper such as tutorials or workshops.
Visit the online timetable for COMPX310 for more details


Indicative Fees for Machine Learning (COMPX310)

Occurrence Domestic International
 Tuition Resource 
19A (HAM) $883 $0 $3713
19A (TGA) $883 $0 $3713
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 Machine Learning (COMPX310)

The following paper outlines are available for Machine Learning (COMPX310).
If your paper occurrence is not listed contact the Faculty or School office.

Additional Information

Available Subjects:  Applied Computing | Computer Science

Other available years: Machine Learning - COMPX310 (2020)

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

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