Required texts

There are no set texts or required readings for this unit.

Submission of assessment items

Use of Machine Learning Technologies (AI)

The use of machine learning tools, such as large language models (LLMs, such as ChatGPT, Co-Pilot, Llama, etc), image diffusion models (eg: mid journey, stable diffusion DALL-E, etc) or tools that incorporate machine learning (eg: Photoshop content aware fill), are permitted in this unit as part of the modern digital production workflow. However, students must adhere to the following guidelines:

1. Transparency: All use of AI tools must be clearly documented in your submissions. This includes specifying which parts of your work were created with AI assistance and which tools were used.
2. Critical Evaluation: Students are required to critically evaluate the AI-generated content. This means reviewing, testing, and potentially modifying the AI suggestions to ensure they meet the project requirements and follow best practices.
3. Reflection: For each assessment, include a brief reflection (200-300 words) on how you used AI tools. Discuss the benefits and limitations you encountered, any challenges in implementing AI suggestions, and how the use of AI impacted your learning process.
4. Original Contribution: While AI can be used for idea generation, code snippets, or problem-solving assistance, the overall design, implementation, and integration of your project must demonstrate your own understanding and decision-making.
5. Learning Outcomes: Remember that the unit's learning outcomes focus on your ability to analyse, implement, and evaluate web technologies. Your work should clearly demonstrate these skills, regardless of AI usage.

The ability to effectively leverage AI tools while maintaining critical thinking and problem-solving skills is a valuable competency in modern web development. This approach aims to prepare you for real-world scenarios where you may use similar tools professionally.

Note that we reserve the right to request further explanation or demonstration of your understanding of any part of your submitted work.

Students must apply academic integrity in their learning and research activities at UC. This includes submitting authentic and original work for assessments and properly acknowledging any sources used.

Academic integrity involves the ethical, honest and responsible use, creation and sharing of information. It is critical to the quality of higher education. Our academic integrity values are honesty, trust, fairness, respect, responsibility and courage.

UC students have to complete the annually to learn about academic integrity and to understand the consequences of academic integrity breaches (or academic misconduct).

UC uses various strategies and systems, including detection software, to identify potential breaches of academic integrity. Suspected breaches may be investigated, and action can be taken when misconduct is found to have occurred.

Information is provided in the Academic Integrity Policy, Academic Integrity Procedure, and 91Porn (Student Conduct) Rules 2023. For further advice, visit Study Skills.

Learner engagement

This project unit requires you to work independently and consistently throughout the semester. 

You will need to put as much time as possible into the project work - averaging 8 hours per week.  You are expected to attend supervisory meetings regularly, and it is your responsibility to maintain contact with your supervisor throughout the semester. 

If your project starts going poorly for any reason, you must let your supervisor know as early as possible so we can negotiate a solution.

Participation requirements

In class presentations occur in week 2 unless you have made arrangements with the lecturer, and regular contact with your tutor is essential to ensure you do not end up with a poor final submission.

Required IT skills

Students undertaking this unit are expected the be in the final year of a digital media, games or interaction design degree or major in one of these areas, and are expected to have significant practical digital production skills. If in doubt, please discuss with your unit convenor as early as possible.

In-unit costs

Variable, depending on what you choose to do, however, we do not require or expect you to spend any money on your projects.

Work placement, internships or practicums

None

• Semester 2, 2024, On-campus, UC - Canberra, Bruce (222186)
• Semester 2, 2024, On-campus, UC - TAFE Queensland, South Bank (222187)