Machine Learning - COMPX310 (2023)

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): (COMPX101 or ENGEN103) and (STATS121 or STATS111 or ENGEN102).
Internal assessment / examination: 100:0

Trimesters and Locations

Occurrence Code When taught Where taught
23B (HAM)B Trimester : 10 Jul 2023 - 5 Nov 2023 Hamilton
23B (TGA)B Trimester : 10 Jul 2023 - 5 Nov 2023 Tauranga

Timetabled Lectures for Machine Learning (COMPX310)

DayStartEndRoomDates
COMPX310-23B (HAM)
Mon4:00 PM5:00 PML.G.02Jul 10 - Oct 15
Thu1:00 PM2:00 PML.G.05Jul 10 - Oct 15
COMPX310-23B (TGA)
Mon4:00 PM5:00 PMTCBD.2.09Jul 10 - Oct 15
Thu1:00 PM2:00 PMTCBD.3.06Jul 10 - Oct 15

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

Fees for 2023 are not yet available.


Paper Outlines

The following 2022 paper outlines are available for COMPX310. Please contact the Faculty or School office for details on 2023 outlines.

Additional Information

Available Subjects:  Applied Computing | Computer Science | Data Analytics | Electrical and Electronic Engineering | Electronic Engineering | Mechatronics Engineering | Software Engineering

Other available years: Machine Learning - COMPX310 (2022) , Machine Learning - COMPX310 (2021) , Machine Learning - COMPX310 (2020) , Machine Learning - COMPX310 (2019)

Paper details current as of : 30 September 2022 10:04am
Indicative fees current as of : 6 October 2022 4:30am

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