COMPX310

Machine Learning

2027

15

300

B Trimester, and other teaching periods

Hamilton, Hainan University, Haikou China

((COMPX101 or ENGEN103) and (DATAX111 or DATAX121 or STATS111 or STATS121 or ENGEN102)) or COMPX216.

To see available locations for each teaching period, view the teaching periods and locations table.

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.

Teaching Periods and Locations
27B (HAM)
Paper outline 		B Trimester :
12 Jul 2027 - 07 Nov 2027 		Hamilton 100% internal assessment
27X (HNU)
Paper outline 		06 Sep 2027 - 23 Jan 2028 Hainan University, Haikou China 100% internal assessment

If your paper outline is not linked below, try the previous year's version of this paper.

Timetabled lectures

This paper has no scheduled lectures - check for other activities in the online timetable for this paper.

Indicative Fees

    • You will be sent an enrolment agreement which will confirm your fees. Tuition fees shown 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.

Domestic
International

You will be sent an enrolment agreement which will confirm your fees. Tuition fees shown 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.

You will be sent an enrolment agreement which will confirm your fees. Tuition fees shown 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.

Available subjects

Mechatronics Engineering

Software Engineering

Artificial Intelligence

Computer Science

Data Analytics

Electrical and Electronic Engineering

Chemical and Process Engineering

Additional information

  • Paper details current as of 31 Jul 2026 01:01am
  • Indicative fees current as of 11 Aug 2026 01:20am