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)

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 for Machine Learning (COMPX310)

Occurrence Domestic International
 Tuition Resource 
23B (HAM) $951 $4343
23B (TGA) $951 $4343
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

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 | Artificial Intelligence | Computer Science | Data Analytics | Electrical and Electronic Engineering | Electronic Engineering | Mechatronics Engineering | Software Engineering

Other available years: Machine Learning - COMPX310 (2024) , Machine Learning - COMPX310 (2022) , Machine Learning - COMPX310 (2021) , Machine Learning - COMPX310 (2020) , Machine Learning - COMPX310 (2019)

Paper details current as of : 27 February 2024 10:33am
Indicative fees current as of : 2 March 2024 4:32am

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