Applied Machine Learning


One Semester or equivalent


COS30019 Introduction to Artificial Intelligence
COS30018 Intelligent Systems



Contact hours
48 Hours

Credit Points

Aims and learning outcomes

This unit is designed to equip students with the essential skills to implement applied machine learning projects. In addition to providing the basic theories of machine learning, this unit focuses primarily on techniques and methods used in real-world application.

Students who successfully complete this unit should be able to:

  1. Explain machine learning life cycle
  2. Use appropriate data engineering techniques for data preparation
  3. Analyse and apply advanced machine learning algorithms to solve real-world problems
  4. Evaluate, deploy and optimise machine learning project outcomes to domain specific users
  5. Identify the current Business Intelligence applications in the market
  6. Interpret and effectively communicate machine learning project outcomes to domain specific users

Unit information

Learning and teaching structures

(Weekly): Scheduled hours: Lectures (12 x 2hours), Lab (12 x 2 hours)

In a Semester, you should normally expect to spend, on average, twelve and a half hours of total time (formal contact time plus independent study time) a week on a 12.5 credit point unit of study.

General skills outcomes

Key Generic Skills:

  • Problem solving skills
  • Ability to tackle unfamiliar problems
  • Communication
  • Teamwork skills
  • Digital literacies
  • Analysis skills
  • Ability to work independently


  • Machine learning life cycle
  • Basic algorithms of machine learning
  • Deep learning
  • Supervised, unsupervised and transfer learning
  • Data engineering and pre-processing techniques
  • Model optimisation
  • Model evaluation, deployment and maintenance
  • Machine learning project documentation and communication


100% Portfolio Assessment

  1. Quizzes
  2. Assignment
  3. Machine Learning Project

Minimum requirements to pass this unit of study

As the minimum requirements of assessment to pass a unit and meet all ULOs to a minimum standard, an undergraduate student must have achieved:

  • an aggregated mark of 50% or more, and

Study Resources

Resources and reference material