ITECH7001 Artificial Intelligence and Machine Learning
This course exposes students to the theory and practical methods associated with the field of artificial intelligence (AI). Students will gain an appreciation for the philosophy, history and applications of artificial intelligence. They will gain an understanding of the functioning of core algorithms within AI, and skills in the application of software tools which implement those algorithms. Areas covered will include knowledge representation, logic and automated reasoning, search, and modelling uncertainty, with a particular emphasis on techniques associated with various areas of machine learning, including unsupervised, supervised and reinforcement learning. Students will also be required to consider the ethics associated with the development and deployment of AI technology within society, and understand the importance of factors such as fairness, safety and explainability.
Commonwealth supported place (CSP)
A CSP is subsidised by the Australian Government and students pay a contribution amount. Each unit is classified into a band, depending on the study area of the unit (this discipline may be different from the study area of your course).
2025 contribution amount* $1,164
2025 grandfathered contribution amount* $1,164
Grandfathered contribution amount - if you are a continuing student, who commenced your course before 1 January 2021, you will continue paying the same amount as you would have, had legislative reforms not been implemented, for any units that would otherwise have an increased student contribution amount.
* For Clinical Psychology & Professional Pathways bands the unit fee amount is determined by accredited courses. Students in Postgraduate Clinical Psychology, Professional Pathway Psychology or Professional Pathway Social Work accredited courses should refer to the information below.
