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Unit of Study COMP1005 - Applied Artificial Intelligence (2027)

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Unit Snapshot

  • Enrolment information

    N/A

Unit description

This unit is designed to be a university-wide elective with a focus on general concepts, tools, applications, and skills development related to everyday/business usage of artificial intelligence. It will use examples in different application domains such as IT, business, and engineering to demonstrate using no-code or low-code AI tools to develop solutions.

Unit content

Module 1:  Large language models and prompt engineering foundations

Module 2:  Shaping AI roles and identity

Module 3:  Controlling AI tone, style, and creativity

Module 4:  Setting AI boundaries and output structure

Module 5:  Teaching AI through examples

Module 6:  Guiding AI reasoning and ethical safeguards

Availabilities

Location Domestic International
Brisbane
Term1
Term1,4
China - Guangxi UST N/A
Term1,4
Gold Coast
Term1,4
Term1,4
Melbourne
Term1,4
Term1,4
Online
Term1,4
Term1,4
Papua New Guinea - IBSU Port Moresby N/A
Term1,4
Sydney
Term1,4
Term1,4

Learning outcomes

Unit Learning Outcomes express learning achievement in terms of what a student should know, understand and be able to do on completion of a unit. These outcomes are aligned with the graduate attributes. The unit learning outcomes and graduate attributes are also the basis of evaluating prior learning.

On completion of this unit, students should be able to:

apply AI concepts to real-world scenarios

develop solutions through the use of no-code and low-code AI tools

apply AI technologies to automate basic business processes

train, deploy, and integrate AI models for predictive and analytical tasks.

Teaching and assessment

Teaching method
Tutorial 2 hours (weekly)
Workshop 1 hour (weekly)
Assessment
Portfolio 30%
Portfolio 30%
Portfolio 40%

Teaching method
Tutorial 2 hours (weekly)
Workshop 1 hour (weekly)
Assessment
Portfolio 30%
Portfolio 30%
Portfolio 40%

Teaching method
Tutorial 2 hours (weekly)
Workshop 1 hour (weekly)
Assessment
Portfolio 30%
Portfolio 30%
Portfolio 40%

Teaching method
Tutorial 2 hours (weekly)
Workshop 1 hour (weekly)
Assessment
Portfolio 30%
Portfolio 30%
Portfolio 40%

Teaching method
Tutorial 2 hours (weekly)
Workshop 1 hour (weekly)
Assessment
Portfolio 30%
Portfolio 30%
Portfolio 40%

Teaching method
Tutorial 2 hours (weekly)
Workshop 1 hour (weekly)
Assessment
Portfolio 30%
Portfolio 30%
Portfolio 40%

Teaching method
Tutorial 2 hours (weekly)
Workshop 1 hour (weekly)
Assessment
Portfolio 30%
Portfolio 30%
Portfolio 40%

Prescribed learning resources

Prescribed Texts
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Prescribed Resources/Equipment
  • Prescribed resources/equipment information is not currently available.

Prescribed Texts
  • Prescribed text information is not currently available.
Prescribed Resources/Equipment
  • Prescribed resources/equipment information is not currently available.

Prescribed Learning Resources may change in future Teaching Periods.