FIT3208 Artificial intelligence in practice: Project 1
Faculty of Information Technology
FIT3208 Artificial intelligence in practice: Project 1 is a level 3, 6-credit-point, undergraduate unit from the Faculty of Information Technology. It isn't offered in 2027. It needs FIT2120; or (FIT2135 and (FIT2111 or FIT2112)) and unlocks 1 unit, leading on to 3 units in all.
- Credit points
- 6
- Offered in 2027
- Not offered
Reviews
No reviews yetNo reviews yet. Be the first to review FIT3208.
Requisites
Before FIT3208
Prerequisites
Pass these before you enrol.
After FIT3208
1 unit list FIT3208 as a prerequisite or corequisite.
Overview
This unit is the third stage of the Artificial Intelligence practice program. You will continue working within a student-led company, contributing to real projects, products or services that involve the responsible application of artificial intelligence. Building on earlier practice units, you will move from guided contribution toward greater independence, taking responsibility for more substantial work while continuing to operate within team, project and company expectations.
At this stage, you will also help sustain the company as an ongoing learning and working environment. This includes contributing to the recruitment, selection and onboarding of students entering the first practice unit by helping define role needs, supporting application or interview processes, and assisting new students to understand company expectations, workflows and professional practice.
You will take greater agency over your professional and academic development by identifying the AI capabilities, professional practices and evidence you want to develop. In consultation with mentors, peers and company leaders, you will set development goals, seek feedback, and build portfolio evidence of your growth. Your work will involve selecting and applying AI methods, tools and development workflows in authentic contexts, while considering limitations, risks, evidence, impacts and responsible use.
Assessment is centred on an individual evidence-based portfolio demonstrating your contribution to company work, your support for new students, your response to feedback, and your advancing AI capability. This unit prepares you for the capstone practice unit, where you will be expected to demonstrate more independent and integrated application of AI capability in professional contexts.
Offerings in 2027
The 2027 handbook lists no offerings for FIT3208.
Learning outcomes
When you finish this unit, you should be able to:
- 1
Direct your professional and academic development by identifying capability goals, seeking and responding to feedback, supporting recruitment and onboarding activities, and evidencing growth through reflective practice;
- 2
Select, apply and evaluate artificial intelligence methods, tools and workflows in a company project context, explaining their suitability, constraints, limitations and responsible use;
- 3
Contribute to the design, development and evaluation of AI-enabled applications, components or workflows that respond to real project needs and stakeholder contexts;
- 4
Demonstrate advancing Artificial Intelligence course capability through portfolio evidence of individual contribution, technical decision-making, responsible practice, feedback response and professional judgement.
Common questions
What are the prerequisites for FIT3208?
You need FIT2120; or (FIT2135 and (FIT2111 or FIT2112)) before you enrol.
What can I take after FIT3208?
FIT3208 is a prerequisite or corequisite for 1 unit, including FIT3209. Those lead on to 3 units in all.
When is FIT3208 offered?
FIT3208 has no offerings listed in the 2027 handbook.
More details
- Credit points
- 6
- Level
- 3
- Study level
- Undergraduate
- Faculty
- Faculty of Information Technology
- Type
- Coursework
- EFTSL
- 0.125
- Student contribution
- SCA Band 2
- Study abroad
- Available
- Handbook years
- 2027