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During 2021 we will continue to support students who need to study remotely due to the ongoing impacts of COVID-19 and travel restrictions. Make sure you check the location code when selecting a unit outline or choosing your units of study in Sydney Student. Find out more about what these codes mean. Both remote and on-campus locations have the same learning activities and assessments, however teaching staff may vary. More information about face-to-face teaching and assessment arrangements for each unit will be provided on Canvas.
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 |
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Prerequisites:
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A candidate for the MDS who has completed 24 credit points from Core or Elective units of study may take this unit. |
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Corequisites:
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None |
| Prohibitions:
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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, 2021 [Supervision] - Remote
- Semester 2, 2021 [Supervision] - Remote
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