Machine Learning

COS80027 12.5 Credit Points Hawthorn Available to incoming Study Abroad and Exchange students


  • One Semester or Equivalent

Contact hours

  • 48 hours

On-campus unit delivery combines face-to-face and digital learning.

2024 teaching periods


Higher Ed. Semester 1

26 Feb 24 - 26 May 24

2 Jul 24

Last self enrolment:
10 Mar 24

31 Mar 24

Last withdraw without fail:
12 Apr 24

Aims and objectives

This unit aims to develop and enhance students’ conceptual and practical understanding of machine learning (ML) in the contexts of industry-relevant applications where ML has emerged to play a key role. The students will learn about fundamental concepts, key techniques and popular tools in ML as well as how real-world problems are cast into ML tasks. They will also acquire the ability to apply ML techniques and tools to solve industry-relevant problems.
Unit Learning Outcomes (ULO)
On successful completion of this unit students will be able to: 
Demonstrate advanced knowledge of fundamental concepts, key techniques and popular tools in machine learning
Critically evaluate the roles of machine learning in various real-world applications
Critically analyse, evaluate and apply appropriate machine learning techniques and tools to solve various industry-relevant problems
Communicate effectively as a professional to technical and non-technical audiences