SIT319 - Advanced Topics in Artificial Intelligence


2021 unit information

Offering information:

Offered from 2022 

Enrolment modes:

Trimester 1: Burwood (Melbourne), Cloud (Online)

Credit point(s): 1
EFTSL value: 0.125

SIT215 and SIT292



Incompatible with:


Study commitment

Students will on average spend 150 hours over the teaching period undertaking the teaching, learning and assessment activities for this unit.

Scheduled learning activities - campus

1 x 2 hour class per week, 1 x 2 hour workshop per week

Scheduled learning activities - cloud (online)

1 x 1 hour scheduled online workshop per week


This unit investigates several advanced topics in artificial intelligence (AI), including deep learning, reinforcement learning, natural language processing, and computer visions. In the practical components, you will design and implement AI solutions using a programming language such as Python.

Hurdle requirement

To be eligible to obtain a pass in this unit, students must meet certain milestones as part of the portfolio.

Unit Fee Information

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