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COIT12204 - AI-Assisted Software Development

General Information

Unit Synopsis

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

Level Undergraduate
Unit Level 2
Credit Points 6
Student Contribution Band SCA Band 2
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).

Class Timetable View Unit Timetable
Residential School No Residential School

Unit Availabilities from Term 2 - 2026

Term 2 - 2026 Profile
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).

Assessment Overview

Recommended Student Time Commitment

Each 6-credit Undergraduate unit at CQUniversity requires an overall time commitment of an average of 12.5 hours of study per week, making a total of 150 hours for the unit.

Assessment Tasks

This information will not be available until 8 weeks before term.
To see assessment details from an earlier availability, please search via a previous term.

This is a graded unit: your overall grade will be calculated from the marks or grades for each assessment task, based on the relative weightings shown in the table above. You must obtain an overall mark for the unit of at least 50%, or an overall grade of ‘pass’ in order to pass the unit. If any ‘pass/fail’ tasks are shown in the table above they must also be completed successfully (‘pass’ grade). You must also meet any minimum mark requirements specified for a particular assessment task, as detailed in the ‘assessment task’ section (note that in some instances, the minimum mark for a task may be greater than 50%).

Consult the University's Grades and Results Policy for more details of interim results and final grades

Past Exams

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Previous Feedback

Term 2 - 2023 : The overall satisfaction for students in the last offering of this course was 90.00% (`Agree` and `Strongly Agree` responses), based on a 40% response rate.

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.

Source: Self-Reflection
Feedback
Assessment marking criteria.
Recommendation
Assessment marking criteria needs to be enhanced with allocating marks for documentation. Both Assessment 1 and 2 have no room for documentation and assessments cover only design and coding parts. Unit needs to evaluate students' programming skills as well as documentation for their assessment project.
Action Taken
For both Assessment 1 and Assessment 2, dedicated sections have been introduced in the marking rubrics to evaluate the quality and clarity of students’ documentation alongside their design and coding components.
Source: Student Feedback
Feedback
Students reported that the assessments were not challenging enough.
Recommendation
n the next offering, an open-ended task will be incorporated so that students can select features of their choice into their web application development to adjust the complexity level within a given boundary.
Action Taken
A seed data implementation task using localdb was introduced, enabling students to add extra features to their web application. This allowed students to demonstrate creativity and tackle more advanced functionality.
Source: 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.
Action Taken
In Progress
Unit learning Outcomes
This information will not be available until 8 weeks before term.
To see Learning Outcomes from an earlier availability, please search via a previous term.