FIT3164 Data science project 2
Faculty of Information Technology
FIT3164 Data science project 2 is a level 3, 6-credit-point, undergraduate unit from the Faculty of Information Technology, offered in 2027 in Semester 1 and Semester 2 at Clayton and Malaysia. It needs FIT3163.
- Credit points
- 6
- Offered in 2027
- Semester 1, Semester 2
- Clayton, Malaysia
- Assessment
- No exam
- 7 tasks
- Workload
- 144 hours
- per semester
Reviews
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Requisites
Before FIT3164
Prohibitions
You can't enrol if you have passed any of these.
Prerequisites
Pass these before you enrol.
After FIT3164
No unit lists FIT3164 as a prerequisite in the 2027 handbook.
Overview
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.
Offerings in 2027
| Teaching period | Campus | Mode |
|---|---|---|
| First semester | Clayton | Blended |
| First semester | Malaysia | On campus |
| Second semester | Malaysia | On campus |
Assessment
- Individual Vlog ReflectionsArtefact10%
- Group Project Meeting Minutes & VideosWritten15%
- Group Mid-Semester Project PitchPresentation25%
- Individual Critique of Other Group PitchesDemonstration5%
- Individual Critique of Other Final PresentationsDemonstration5%
- Software Demonstration and Final PresentationPresentation30%
- Final Written ReportProject10%
Assessment details may change. Please refer to the assessment information in Moodle closer to the start of the teaching period.
Learning outcomes
When you finish this unit, you should be able to:
- 1
Evaluate and select research methods and techniques of data preparation and analysis appropriate to a particular project;
- 2
Search, access, and analyse research literature as part of the process of developing solutions to problems;
- 3
Work effectively in collaborative teams;
- 4
Develop and test a substantial piece of software or perform a substantial analysis of data using software;
- 5
Explain and reflect upon the purpose, operation, success and value of the developed project in writing and orally;
- 6
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.
Workload and teaching
- Studio activities36 hours
- Teaching approachProblem-based learning
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.
Contacts
- Chief Examiners
- Professor Markus Wagner
- Unit Coordinators
- Mr Soo Wooi King
Common questions
What are the prerequisites for FIT3164?
You need FIT3163 before you enrol.
When is FIT3164 offered?
In 2027, FIT3164 runs in Semester 1 and Semester 2 at Clayton and Malaysia.
How much work is FIT3164?
The handbook expects about 144 hours of study across the semester. No students have rated its difficulty yet.
Does FIT3164 have an exam?
No. FIT3164 has 7 assessment tasks and no exam.