CQUniversity Unit Profile

In Progress

Please note that this Unit Profile is still in progress. The content below is subject to change.
COIT12204 AI-Assisted Software Development
AI-Assisted Software Development
All details in this unit profile for COIT12204 have been officially approved by CQUniversity and represent a learning partnership between the University and you (our student).
The information will not be changed unless absolutely necessary and any change will be clearly indicated by an approved correction included in the profile.
General Information

Overview

This unit equips you with web application design and development skills, incorporating the effective use of artificial intelligence (AI) tools throughout the development lifecycle. It focuses on utilising Generative AI (GenAI) and web development technologies in designing, coding, debugging, and testing web applications. You will explore how AI can enhance development efficiency, improve code quality, and automate testing while learning to integrate AI into web applications to achieve high-performing smart applications. Emphasis is placed on responsible AI usage, ensuring code quality and maintainability while preparing you for future jobs in AI-assisted application development.

Details

Career Level: Undergraduate
Unit Level: Level 2
Credit Points: 6
Student Contribution Band: 8
Fraction of Full-Time Student Load: 0.125

Pre-requisites or Co-requisites

COIS12036 Human-Computer Interaction and COIT11237 Database Design & Implementation

Important note: Students enrolled in a subsequent unit who failed their pre-requisite unit, should drop the subsequent unit before the census date or within 10 working days of Fail grade notification. Students who do not drop the unit in this timeframe cannot later drop the unit without academic and financial liability. See details in the Assessment Policy and Procedure (Higher Education Coursework).

Offerings For Term 2 - 2026

Brisbane
Cairns
Melbourne
Online
Rockhampton
Sydney

Attendance Requirements

All on-campus students are expected to attend scheduled classes - in some units, these classes are identified as a mandatory (pass/fail) component and attendance is compulsory. International students, on a student visa, must maintain a full time study load and meet both attendance and academic progress requirements in each study period (satisfactory attendance for International students is defined as maintaining at least an 80% attendance record).

Class and Assessment Overview

Information for Class and Assessment Overview has not been released yet.

This information will be available on Monday 18 May 2026
Previous Student Feedback

Feedback, Recommendations and Responses

Every unit is reviewed for enhancement each year. At the most recent review, the following staff and student feedback items were identified and recommendations were made.

Feedback from Student Feedback

Feedback

Assessments could be revised to increase their cognitive complexity, rather than allowing surface-level responses.

Recommendation

Introduce an open-ended assessment component that allows students to choose and implement additional features in their ASP.NET Core web applications, enabling them to adjust the task complexity and better demonstrate advanced skills within defined guidelines.

Unit Learning Outcomes

Information for Unit Learning Outcomes has not been released yet.

This information will be available on Monday 18 May 2026
Alignment of Learning Outcomes, Assessment and Graduate Attributes

Information for Alignment of Learning Outcomes, Assessment and Graduate Attributes has not been released yet.

This information will be available on Monday 18 May 2026
Textbooks and Resources

Information for Textbooks and Resources has not been released yet.

This information will be available on Monday 22 June 2026
Academic Integrity Statement

Information for Academic Integrity Statement has not been released yet.

This unit profile has not yet been finalised.