Overview

A wide range of statistical methods and computational tools have been developed in the past few decades to gather information from data. This undergraduate course covers the key techniques in data mining and machine learning with theoretical background and applications, delivered through a series of lectures and tutorials. The topics … For more content click the Read More button below.

Conditions for Enrolment

Prerequisite: MATH2801 or MATH2901

Additional Enrolment Constraints

A recommended prerequisite is MATH2831 Linear Models or MATH2931 Higher Linear Models. Additionally, competency in at least a programming language such as R or Python is strongly recommended.

Delivery

In-person - Standard (usually weekly or fortnightly)
Multimodal - Standard (usually weekly or fortnightly)

Fees

Pre-2019 Handbook Editions

Access past handbook editions (2018 and prior)