FIT3163 - Data science project 1 - 2019

This unit provides practical experience in researching, designing, developing and evaluating 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 sting. 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 students will be expected to attend regular meetings with their project supervisor. The unit is the first part of a 12-credit point project sequence; the second part and exit point for the project is FIT3164.

On completion of this unit, students should be able to:

1. recognise and execute the factors essential for successful management of systems development projects, including teamwork and interpersonal communication;
2. evaluate and select research methods and techniques of data preparation and analysis appropriate to a particular project, and practice these ethically and professionally;
3. search, access and analyse research literature as part of the process of developing solutions to problems;
4. operate effectively as a member of a development team;
5. communicate in written and oral form the proposed deliverables of a project and reflect upon their value and the likelihood of success;
6. develop, demonstrate and explain results of analysis, a software prototype or model.

In-semester assessment: 100%

Minimum total expected workload equals 144 hours over 12 weeks comprising:

1. Contact hours for on-campus students:
   • One 1-hour project meeting
   • 2-hour project management seminars (for 6 weeks)
2. Additional requirements (all students):
   • The remaining 120 hours is for personal study in order to complete the research and implementation of the project.

See also Unit timetable information