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 1 - 2026
Term 2 - 2026 Profile
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).
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
| Assessment Task | Weighting |
|---|---|
| 1. Written Assessment | 10% |
| 2. Practical Assessment | 20% |
| 3. Practical Assessment | 30% |
| 4. Project (applied) | 40% |
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%).
Past Exams
All University policies are available on the Policy web site, however you may wish to directly view the following policies below.
This list is not an exhaustive list of all University policies. The full list of policies are available on the Policy web site .
Term 2 - 2024 : The overall satisfaction for students in the last offering of this course was 91.67% (`Agree` and `Strongly Agree` responses), based on a 35.29% 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: Student feedback
The unit assumes prior knowledge of C#, which may be challenging for some students.
Provide learning materials covering C# fundamentals for the first two weeks.
In Progress
Source: UC Reflection
Assessment should be made industry-focused.
Realign the assessment to use real world applications.
In Progress
Source: UC reflection
The unit lacks coverage of AI-driven application development.
The unit content will be revised to incorporate AI tools and technologies.
In Progress
Source: Student Feedback
Don't make it so easy for students to complete the assignments.
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.
This recommendation has been implemented. Assessments 1 and 2 in T2, 2024, were made more open-ended, allowing students to implement additional features. Assessments have also been made more industry-focused by allowing students to choose any Australian-based business for their assignment (including charities based in Australia).
On successful completion of this unit, you will be able to:
- Evaluate the technical and ethical impact of advances in AI tools on software development processes and practices
- Utilise Generative AI tools to enhance various stages of the software development life cycle
- Implement basic Agent-oriented web applications by using Generative AI tools
- Develop and deploy complex Agent-oriented web applications while adhering to secure coding practices
The Australian Computer Society (ACS) recognises the Skills Framework for the Information Age (SFIA). SFIA is adopted by organisations, governments and individuals in many countries and provides a widely used and consistent definition of ICT skills. SFIA is increasingly being used when developing job descriptions and role profiles. ACS members can use the tool MySFIA to build a skills profile.
This unit contributes to the following workplace skills as defined by SFIA 9 (the SFIA code is included):
- Artificial intelligence (AI) and data ethics (AIDE)
- Requirements Definition and Management (REQM)
- User Experience Analysis (UNAN)
- Software Design (SWDN)
- Programming/Software Development (PROG)
- Testing (TEST)
| Assessment Tasks | Learning Outcomes | |||
|---|---|---|---|---|
| 1 | 2 | 3 | 4 | |
| 1 - Written Assessment | • | |||
| 2 - Practical Assessment | • | • | ||
| 3 - Practical Assessment | • | • | ||
| 4 - Project (applied) | • | • | • | |
| Graduate Attributes | Learning Outcomes | |||
|---|---|---|---|---|
| 1 | 2 | 3 | 4 | |
| 1 - Communication | • | • | ||
| 2 - Problem Solving | • | • | • | |
| 3 - Critical Thinking | • | • | ||
| 4 - Information Literacy | • | • | ||
| 6 - Information Technology Competence | • | • | • | |
| 8 - Ethical practice | • | |||
| Assessment Tasks | Graduate Attributes | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 10 | |