| Unit convenor and teaching staff |
Unit convenor and teaching staff
Unit Convenor
Dr. Xiao Cheng
By Appointment
Unit Lecturer
Dr. Lachlan Patrick
By Appointment
|
|---|---|
| Credit points |
Credit points
10
|
| Prerequisites |
Prerequisites
60cp at 1000 level or above including COMP1010
|
| Corequisites |
Corequisites
|
| Co-badged status |
Co-badged status
|
| Unit description |
Unit description
This unit introduces engineering principles and practices to all stages of the software development lifecycle to ensure a systematic, quality-focused and quantifiable approach to the management, design, development, maintenance, verification and validation of [large and complex] software products, projects and processes. Problem formulation and solving are emphasised. Topics covered include: requirements gathering and specification; object-oriented modelling using the Unified Modeling Language (UML); process management; and software design, testing and evolution. Learning in this unit enhances student understanding of global challenges identified by the United Nations Sustainable Development Goals (UNSDGs) Quality Education; Decent Work and Economic Growth; Industry, Innovation and Infrastructure; |
Information about important academic dates including deadlines for withdrawing from units are available at https://www.mq.edu.au/study/calendar-of-dates
On successful completion of this unit, you will be able to:
To pass this unit you must:
Assessment details:
The Special Consideration Policy aims to support students who have been impacted by short-term circumstances or events that are serious, unavoidable and significantly disruptive, and which may affect their performance in assessment. If you experience circumstances or events that affect your ability to complete the assessments in this unit on time, please inform the convenor and submit a Special Consideration request through https://connect.mq.edu.au/.
Assessments 1 (Problem Analysis) and 2 (Design Proposal) are AI Open while Assessment 3 (Final Exam) is AI Observed.
The university has taken a ‘two lane’ approach with GenAI: assessments can be AI Open (meaning students complete the assessment in their own time and may use GenAI) and Observed (students complete assessments in supervised environments, where use of AI is controlled or not permitted). More information on the use of GenAI in Assessment can be found here.
| Name | Weighting | Hurdle | Due | Groupwork/Individual | Short Extension | AI Approach |
|---|---|---|---|---|---|---|
| Final Exam | 40% | No | Exam Period | Individual | No | Observed |
| Problem Analysis | 30% | No | 13/09/2026 | Individual and Group | No | Open |
| Desgin Proposal | 30% | No | 01/11/2026 | Individual and Group | No | Open |
Assessment Type 1: Examination
Indicative Time on Task 2: 24 hours
Due: Exam Period
Weighting: 40%
Groupwork/Individual: Individual
Short extension 3: No
AI Approach: Observed
You will undertake a final examination during the formal examination period.
Assessment Type 1: Written Submission
Indicative Time on Task 2: 20 hours
Due: 13/09/2026
Weighting: 30%
Groupwork/Individual: Individual and Group
Short extension 3: No
AI Approach: Open
This group assignment uses requirements engineering and test analysis approaches, and will require students to interact with other students within their own group (as well as their client stakeholders) to understand, analyse, and document the needs of the system being proposed for development. Students will complete a portfolio of activities that will be submitted together.
This is a group project that will have individual marks.
Assessment Type 1: Experiential task
Indicative Time on Task 2: 30 hours
Due: 01/11/2026
Weighting: 30%
Groupwork/Individual: Individual and Group
Short extension 3: No
AI Approach: Open
This group assignment uses design and implementation approaches, and will require students use a given set of requirements to come up with a design that meets those requirements. Students will complete a portfolio of activities that will be submitted together.
This is a group project that will have individual marks.
1 If you need help with your assignment, please contact:
2 Indicative time-on-task is an estimate of the time required for completion of the assessment task and is subject to individual variation.
3 An automatic short extension is available for some assessments. Apply through the Service Connect Portal.
COMP2050 staff will be communicating with you via the provided forums in iLearn, and your offical student email if needed. It is your responsibility to monitor offical communications from either of these modes.
You can communicate with staff using this same approach. There is a private forum in iLearn where you can communicate with lecture staff and where lecturer staff can communicate with you. If, however, you need to communicate via email, you are expected to send all emails to COMP2050 staff using your official student email account. Emails from other accounts may be filtered by the university infrastructure and not reach the inbox of the intended recipient.
All resources including lecture slides, practical class materials, weekly exercises, assessments, and unit readings will be provided through the COMP2050 iLearn page which is available at https://ilearn.mq.edu.au upon enrolment into the unit.
| Week | Lecture concepts | Practical class and assessment |
|---|---|---|
| 1 | Introduction to COMP2050, large-scale software development, complex computing problems, and software development life cycles. | No practical class. Complete the preparation task before Week 2. |
| 2 | Project management, teamwork, communication, meetings, version control, and SDLC selection. | Review the Week 1 task and identify potential group members. |
| 3 | Requirements elicitation, analysis, specification, validation, and management. | Form project teams and set up project infrastructure. Teams normally include four students from the same practical class. |
| 4 | System modelling, use cases, user stories, data flows, requirements validation, and testable criteria. | First client interview, document development, retrospective, and workload planning. |
| 5 | Non-functional requirements, usability, standards, compliance, and security. | Second client interview, requirements refinement, retrospective, and workload planning. |
| 6 | Requirements traceability and consistency checking. | Final client interview, integration of findings, retrospective, and workload planning. |
| 7 | Moving from analysis to design, software architecture, design options, data flows, and definition of done. | Finalise the analysis document. The System Analysis Project is due Sunday at 11:55 pm through iLearn. |
| 8 | Software quality, test planning, testing strategies, test data, equivalence classes, boundary values, regression testing, and usability testing. | Hand over the analysis document to a paired group and organise design proposal tasks. A two-week teaching break follows. |
| 9 | Human-computer interaction, UI/UX design, prototyping, storyboarding, and usability testing. | Work with test data, equivalence classes, testing scenarios, and workload planning. |
| 10 | Software security, confidentiality, integrity, availability, maintenance, versioning, CI/CD, and automation. | Evaluate user interfaces using measurable criteria and plan maintenance and deployment activities. |
| 11 | Software evolution, change management, re-engineering, release planning, and system end-of-life. | Develop maintenance, deployment, and release-management strategies. |
| 12 | Ethics, professional responsibility, professional judgement, and the ACS and Engineers Australia codes of ethics. | The System Design Project is due Sunday at 11:55 pm through iLearn. |
| 13 | Unit review, exam preparation, future technologies, and software engineering career pathways. | Final exam held during the university examination period. It is handwritten, closed-book, and does not allow notes, dictionaries, or calculators. |
Macquarie University policies and procedures are accessible from Policy Central (https://policies.mq.edu.au). Students should be aware of the following policies in particular with regard to Learning and Teaching:
Students seeking more policy resources can visit Student Policies (https://students.mq.edu.au/support/study/policies). It is your one-stop-shop for the key policies you need to know about throughout your undergraduate student journey.
To find other policies relating to Teaching and Learning, visit Policy Central (https://policies.mq.edu.au) and use the search tool.
Macquarie University students have a responsibility to be familiar with the Student Code of Conduct: https://students.mq.edu.au/admin/other-resources/student-conduct
Results published on platform other than eStudent, (eg. iLearn, Coursera etc.) or released directly by your Unit Convenor, are not confirmed as they are subject to final approval by the University. Once approved, final results will be sent to your student email address and will be made available in eStudent. For more information visit connect.mq.edu.au or if you are a Global MBA student contact globalmba.support@mq.edu.au
At Macquarie, we believe academic integrity – honesty, respect, trust, responsibility, fairness and courage – is at the core of learning, teaching and research. We recognise that meeting the expectations required to complete your assessments can be challenging. So, we offer you a range of resources and services to help you reach your potential, including free online writing and maths support, academic skills development and wellbeing consultations.
Macquarie University provides a range of support services for students. For details, visit http://students.mq.edu.au/support/
Academic Success provides resources to develop your English language proficiency, academic writing, and communication skills.
The Library provides online and face to face support to help you find and use relevant information resources.
Macquarie University offers a range of Student Support Services including:
Got a question? Ask us via the Service Connect Portal, or contact Service Connect.
For help with University computer systems and technology, visit https://students.mq.edu.au/support/technology/service-desk.
When using the University's IT, you must adhere to the Acceptable Use of IT Resources Policy. The policy applies to all who connect to the MQ network including students.
Unit information based on version 2026.02 of the Handbook