Useful links
We are aiming for an incremental return to campus in accordance with guidelines provided by NSW Health and the Australian Government. Until this time, learning activities and assessments will be planned and scheduled for online delivery where possible, and unit-specific details about face-to-face teaching will be provided on Canvas as the opportunities for face-to-face learning become clear.
We are currently working to resolve an issue where some unit outline links are unavailable. If the link to your unit outline does not appear below, please use the link in your Canvas site. If no link is available on your Canvas site, please contact your unit coordinator.
Unit of study_
DATA5703: Data Science Capstone Project
The Data Science Capstone project provides an opportunity for students to carry out a defined piece of independent research or design. These skills include the capacity to define a research or design question, show how it relates to existing knowledge and carry out the research or design in a systematic manner. Students will be expected to choose a research/development project that demonstrates their prior learning in the data science domain (MDS). The results will be presented in a final project presentation and report. It is not expected that the project outcomes from this unit will represent a significant contribution to new knowledge. The unit aims to provide students with the opportunity to carry out a defined piece of independent investigative research or design work in a setting and manner that fosters the development of data science skills in research or design.
| Code | DATA5703 |
|---|---|
| Academic unit | Computer Science |
| Credit points | 12 |
|
Prerequisites:
?
|
A candidate for the MDS who has completed 24 credit points from Core or Elective units of study may take this unit. |
|---|---|
|
Corequisites:
?
|
None |
| Prohibitions:
?
|
DATA5707 or DATA5708 or DATA5709 |
At the completion of this unit, you should be able to:
- LO1. utilise prior domain knowledge to define and develop a research/development project relevant to a data science domain (MDS)
- LO2. initiate, formulate and plan a DS research project based on research and development
- LO3. analyse and synthesise information, draw appropriate conclusions and present those conclusions in context, with due consideration of methods and assumptions involved
- LO4. demonstrate knowledge of recent DS research literature and possess an ability to apply investigative research to their own project
- LO5. document, report and present project work undertaken to engage an academic and/or professional audience
- LO6. develop, substantiate and articulate professional positions on issues relevant to the chosen area of practice, critically reflect on and evaluate the outcomes and process of the project
- LO7. plan a semester-long project, incorporating risk mitigation strategies and follow the plan methodically
Unit outlines
Unit outlines will be available 2 weeks before the first day of teaching for 1000-level and 5000-level units, or one week before the first day of teaching for all other units.
- Semester 1, 2020 [Supervision] - Camperdown/Darlington, Sydney
- Semester 2, 2020 [Supervision] - Camperdown/Darlington, Sydney
There are no unit outlines available online for previous years.
- Key dates
Key dates through the academic year, including teaching periods, census, payment deadlines and exams.
- Student administration
Enrolment, course planning, fees, graduation, support services, student IT
- Expectations of student conduct
Code of Conduct for Students, Conditions of Enrollment, University Privacy Statement, Academic Integrity
- Academic appeals
Academic appeals process, special consideration, rules and guidelines, advice and support
- Learning and teaching policy
Policy register, policy search
- Financial support
Scholarships, interest free loans, bursaries, money management
- Study resources
Learning Centre, faculty and school programs, Library, online resources
- Health and support
Student Centre, counselling & psychological services, University Health Service, general health and wellbeing
