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Unit of study_
DATA5709: Data Science Capstone Project - Individual
The Data Science Capstone project unit provides an opportunity for high-achieving students (WAM of 75+) to carry out an individual defined piece of work with academics of our school. The students will acquire skills including the capacity to define a project, show how it relates to existing work, and carry out the project in a systematic manner. Students will apply their gained knowledge of units of study in the data science domain (MDS). The results will be presented in a final project presentation and report. The unit aims to provide students with the opportunity to carry out an advanced project work in a setting and manner that fosters the development of data science skills in research or design.
| Code | DATA5709 |
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| 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, and has a WAM of 75+ may take this unit |
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Corequisites:
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None |
| Prohibitions:
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DATA5703 or DATA5707 or DATA5708 |
At the completion of this unit, you should be able to:
- LO1. utilise prior domain knowledge to define and develop a project relevant to a data science domain (MDS)
- LO2. initiate, formulate and plan a semester-long DS project, incorporating risk mitigation strategies and following the plan methodically
- 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 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
Unit outlines
Unit outlines will be available 2 weeks before the first day of teaching for the relevant session.
- Semester 1, 2023 [Supervision] - Remote
- Semester 1, 2023 [Supervision] - Camperdown/Darlington, Sydney
- Semester 2, 2023 [Supervision] - Camperdown/Darlington, Sydney
- Semester 1, 2020 [Supervision] - Camperdown/Darlington, Sydney
- Semester 2, 2020 [Supervision] - Camperdown/Darlington, Sydney
- Semester 1, 2021 [Supervision] - Remote
- Semester 2, 2021 [Supervision] - Remote
- Semester 1, 2022 [Supervision] - Camperdown/Darlington, Sydney
- Semester 1, 2022 [Supervision] - Remote
- Semester 2, 2022 [Supervision] - Remote
- Semester 2, 2022 [Supervision] - Camperdown/Darlington, Sydney
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