Technology Capstone Research Project PG (11522.2)
| Available teaching periods | Delivery mode | Location |
|---|---|---|
| View teaching periods | On-campus |
Bruce, Canberra |
| EFTSL | Credit points | Faculty |
| 0.25 | 6 | Faculty Of Science And Technology |
| Discipline | Study level | HECS Bands |
| School Of Information Technology & Systems | Post Graduate Level | Band 2 2021 (Commenced After 1 Jan 2021) Band 3 2021 (Commenced Before 1 Jan 2021) |
Learning outcomes
After successful completion of this unit, students will be able to:1. Synthesise a complex problem from multi-dimensional, socio technical and socio-economic perspectives in professional and research contexts;
2. Use research and projects management methodologies to collaboratively solve complex problems with due consideration to diverse groups including indigenous communities;
3. Use appropriate research tools, resources and technologies;
4. Critically evaluate and apply suitable different qualitative and quantitative methods in research; and
5. Synthesise and disseminate research and project outcomes to diverse audiences.
Graduate attributes
1. UC graduates are professional - use creativity, critical thinking, analysis and research skills to solve theoretical and real-world problems2. UC graduates are global citizens - make creative use of technology in their learning and professional lives
3. UC graduates are lifelong learners - evaluate and adopt new technology
1. UC graduates are professional - communicate effectively
1. UC graduates are professional - work collaboratively as part of a team, negotiate, and resolve conflict
2. UC graduates are global citizens - behave ethically and sustainably in their professional and personal lives
3. UC graduates are lifelong learners - adapt to complexity, ambiguity and change by being flexible and keen to engage with new ideas
4. UC graduates are able to demonstrate Aboriginal and Torres Strait Islander ways of knowing, being and doing - communicate and engage with Indigenous Australians in ethical and culturally respectful ways
Prerequisites
Must have completed 24 credit points at G or PG level AND6797 Inf. Sc. Research Methodology PG or 12090 ICT and Engineering Research Methods PG AND
6678 Systems Project and Quality Management G or 9784 Technology and Engineering Management PG OR
Must be enrolled in version 1 of ITM001 Master of Data Science
Corequisites
None.Incompatible units
None.Equivalent units
None.Assumed knowledge
None.| Year | Location | Teaching period | Teaching start date | Delivery mode | Unit convener |
|---|---|---|---|---|---|
| 2026 | Bruce, Canberra | Semester 1 | 16 February 2026 | On-campus | Dr Richa Awasthy |
| 2026 | Bruce, Canberra | Semester 2 | 10 August 2026 | On-campus | Dr Richa Awasthy |
| 2027 | Bruce, Canberra | Semester 1 | 15 February 2027 | On-campus | Dr Richa Awasthy |
| 2027 | Bruce, Canberra | Semester 2 | 09 August 2027 | On-campus | Dr Richa Awasthy |
Required texts
No required standard text. Students can consult any standard and relevant texts on the following topics: project management, requirement analysis, risk management, agile development, quality assurance and testing, time management, stakeholder analysis, communication and presentation.
Submission of assessment items
Extensions & Late submissions
Artificial intelligence
Guided - Students will be guided in how GenAI must/may be used in completing the assessment as detailed in the unit outline and assessment instructions. More detailed information can be found at GenAI and Assessment at UC.
All use of GenAI must be cited (in-text) and referenced (in the reference list) according to the UC Referencing Guide, with appendicies summarising any prompts and output received from GenAI (as this information would otherwise not be available to the marker).
GenAI (and any other sources or reference material, other than your previous assessment submissions) is not permitted during the Interview assessment task.
Special assessment requirements
Pass grade
In order to pass this unit, students must achieve an overall pass (50 out of 100) of the total final moderated marks (which includes individual grades). Moderated marks will be calculated based on the formula provided under 'Peer Evaluation'.
Completion of Academic Integrity Module is required for a pass grade in the unit (and non-completion of this assessment in a unit will result in an NC grade, regardless of the students' final numerical result).
The unit convenor reserves the right to question students on any of their submitted work for moderation and academic integrity purposes.
Timely submission of the assessment item 1A is required to attempt each of the other assessments, including the assessment 2 Project Proposal and Plan report. All projects and group allocations must receive approval from the unit convenors by week 3.
To successfully complete the unit, students must have a project allocation done per the "Team formation and Project Allocation (Group)" assignment. All projects and group allocations must receive approval from the unit convenors by week 3. Students who do not have an approved project will receive a zero mark for the subsequent assignments as group work components are required throughout the semester in order to demonstrate that the learning outcomes of this unit have been met.
ITS Capstone Project Expo (TBA)
The ITS Capstone Project Expo aims to showcase a mix of student groups presenting, showcasing posters and displaying demos on the expo day, which will be judged by a panel from the industry. Out of all the capstone projects of the semester, three categories (ten groups in each category) of projects will be selected to participate in expo based on the final presentation/assessment by the supervisory/ examiner board. The categories are:
- Best Presentation
- Best Posters
- Best Overall Project
The best from each category will be presented an award from the school/ faculty along with a certificate. All the finalists will also receive a certificate signed by the Dean.
Students must apply academic integrity in their learning and research activities at UC. This includes submitting authentic and original work for assessments and properly acknowledging any sources used.
Academic integrity involves the ethical, honest and responsible use, creation and sharing of information. It is critical to the quality of higher education. Our academic integrity values are honesty, trust, fairness, respect, responsibility and courage.
UC students have to complete the Academic Integrity Module annually to learn about academic integrity and to understand the consequences of academic integrity breaches (or academic misconduct).
UC uses various strategies and systems, including detection software, to identify potential breaches of academic integrity. Suspected breaches may be investigated, and action can be taken when misconduct is found to have occurred.
Information is provided in the Academic Integrity Policy, Academic Integrity Procedure, and University of Canberra (Student Conduct) Rules 2023. For further advice, visit Study Skills.
Learner engagement
Workload
The amount of time you will need to spend on study in this unit will depend on a number of factors including your prior knowledge, learning skill level and learning style. Nevertheless, in planning your time commitments you should note that for a 3 credit point unit the total notional workload over the semester or term is assumed to be 150 hours.
As the units are capstone units, students are expected to devote significant number of hours in the project activities. The following table provides an indicative guide of the number of hours students should commit to their projects:
| Project activities |
Hours |
| Attendance and participation of workshops (3 x6) |
18 |
| Meetings with various stakeholders (including supervisors/ sponsors) |
22 |
| Project initiation and planning including the completion of Project Plan |
50 |
| Project execution |
100 |
| Project management including the completion of assignment B, C & D |
50 |
| Project closure and presentation (Completion of assignment E) |
60 |
| Total |
300 |
Inclusion and engagement
Inclusion and Welfare
It is strongly recommended that students who need assistance in undertaking the unit because of disability or an ongoing health condition register with the Inclusion and Welfare Service as soon as possible so that reasonable adjustment arrangements can be made.
Participation requirements
The professional nature of this unit requires active participation and group work at all learning activities for the successful completion of this unit . If attendance and group work requirements cannot be satisfied, it is recommended that you meet with your Unit Convener to schedule this unit for a future semester. Attendance to workshops and meetings will be recorded. Lack of participation may result in your inability to satisfactorily pass assessment items and poor PEI (peer evaluation index) from your peers..
Required IT skills
Varies due to the nature of the project the student undertakes. Students are strongly encouraged to form teams with diverse/ complementary skill sets required for the chosen project.
Work placement, internships or practicums
Some capstone projects may lead to internship opportunities. It may involve actual ICT practice in workplaces, and therefore, extra student responsibilities are required in addition to those described in this section.
Additional information
Intellectual property (IP) deed poll
Depending on the project sponsors /industry partners requirements and noting the contributions provided by the project sponsors/industry partners to this unit and project, students involved in this unit may be required to enter into a Deed Poll to assign any intellectual property created by the student to the project sponsor/industry partner. Students are encouraged to acquire independent legal advice on the Deed Poll, the legal consequences of signing this and to clarify any queries or concerns they may have about signing the Deed Poll.
The deed poll agreement template will be available in the unit Canvas site/ Unit website.
Use of Generative AI in assessment tasks
The University of Canberra (Student Conduct) Rules encompass the unauthorised use of AI in assessment or the preparation of assessment, and depending on the use of the AI services, may be considered as collusion, contract cheating, plagiarism, and/or submitting for assessment the work of another person or third party.
Please read through UC's position on use of Generative artifical intelligence (Gen AI) and UC's Academic Integrity Policy for further clarification.