ITI5147 Data exploration and visualisation
Faculty of Information Technology
ITI5147 Data exploration and visualisation is a level 5, 6-credit-point, postgraduate unit from the Faculty of Information Technology. It isn't offered in 2027. It has no prerequisites.
- Credit points
- 6
- Offered in 2027
- Other periods
- Indonesia
- Assessment
- No exam
- 5 tasks
- Workload
- 144 hours
- per semester
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Requisites
Before ITI5147
Prohibitions
You can't enrol if you have passed any of these.
After ITI5147
No unit lists ITI5147 as a prerequisite in the 2027 handbook.
Enrolment rules
This unit is only available to students enrolled at the Indonesia campus.
Equivalent units
The same content under another code. Only one of them counts.
Overview
This unit introduces statistical and visualisation techniques for the exploratory analysis of data. It will cover the role of data visualisation in data science and its limitations. Visualisation of qualitative, quantitative, temporal and spatial data will be presented. What makes an effective data visualisation, interactive data visualisation, and creating data visualisations with R and other tools will also be presented.
Offerings in 2027
| Teaching period | Campus | Mode |
|---|---|---|
| Monash Indonesia term 3 | Indonesia | Blended |
Assessment
- Assessment 1A: Data Exploration ProposalWritten5%
- Assessment 1B: Data Exploration ProjectWritten30%
- Assessment 2A: Data Visualisation DesignArtefact5%
- Assessment 2B: Data Visualisation ProjectProject40%
- QuizzesQuiz / Test20%
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
perform exploratory data analysis using a range of visualisation tools;
- 2
describe the role of data visualisation in data science and its limitations;
- 3
critically evaluate and interpret a data visualisation;
- 4
distinguish standard visualisations for qualitative, quantitative, temporal and spatial data;
- 5
choose an appropriate and effective data visualisation;
- 6
implement static and interactive data visualisations using R and other tools.
Workload and teaching
- Workshops24 hours
- Laboratories24 hours
- Teaching approachActive learning
Minimum total expected workload to achieve the learning outcomes for this unit is 144 hours per teaching period 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 activities. The unit requires on average three/four hours of scheduled activities per week. Scheduled activities may include a combination of teacher directed learning and online engagement.
Contacts
- Chief Examiners
- Dr Kadek Satriadi
- Unit Coordinators
- Associate Professor Arif Perdana
Common questions
What are the prerequisites for ITI5147?
ITI5147 has no prerequisites, but enrolment rules apply.
When is ITI5147 offered?
ITI5147 has no offerings listed in the 2027 handbook.
How much work is ITI5147?
The handbook expects about 144 hours of study across the semester. No students have rated its difficulty yet.
Does ITI5147 have an exam?
No. ITI5147 has 5 assessment tasks and no exam.