This unit provides practical experience in researching, designing, developing and testing a non-trivial data science project. Projects involve whole or part of the data science process (visualisation, analysis, algorithms, etc.) but can also be software-based, or they may involve investigation of theory. Projects if software-based should cover analysis through design to implementation and testing. Comprehensive written documentation on the project is required. Students are assigned in groups to a project supervisor. There are no lectures in this unit, although you will be expected to attend regular meetings with your project supervisor. The unit is the second part of a 12-credit point project sequence; the first part and entry point for the project is FIT3163.
Minimum total expected workload to achieve the learning outcomes for this unit is 144 hours per semester typically comprising a mixture of scheduled online and face to face learning activities and independent study. Independent study may include associated reading and preparation for scheduled teaching activities.
Write a report explaining methodology, outlining their contributions and the contributions of others, and documenting the developed project from appropriate perspectives, for instance that of a user, researcher or developer.
Develop and test a substantial piece of software or perform a substantial analysis of data using software;
Search, access, and analyse research literature as part of the process of developing solutions to problems;
Explain and reflect upon the purpose, operation, success and value of the developed project in writing and orally;
Evaluate and select research methods and techniques of data preparation and analysis appropriate to a particular project;
Work effectively in collaborative teams;
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