ETC5512 Wild-caught data
Faculty of Business and Economics
ETC5512 Wild-caught data is a level 5, 6-credit-point, postgraduate unit from the Faculty of Business and Economics, offered in 2026 in Semester 1 at Clayton. It has no prerequisites and unlocks 3 units.
- Credit points
- 6
- Offered in 2026
- Semester 1
- Clayton
- Assessment
- No exam
- 1 task
- Workload
- 144 hours
- per semester
This is the 2026 handbook entry. See the 2027 entry.
Reviews
No reviews yetNo reviews yet. Be the first to review ETC5512.
Requisites
Before ETC5512
No prerequisites or corequisites.
After ETC5512
3 units list ETC5512 as a prerequisite or corequisite.
Overview
Open data is a raw material for the digital age but unlike coal, timber or diamonds, it can be used by anyone and everyone at the same time. This unit will equip you with the skills to find, access, process, and prepare open data for further analyses. There are many ways that data can be collected, via experiments, observation, sampling, or sensors. There are many different formats, such as csv, JSON, spatial polygons, or html tables, to learn how to read. Accessing data might be through a database query, a GUI, an API, or scraping web sites. You will also learn about ethics and privacy issues with using open data, and how effectively curate your own open data.
Offerings in 2026
| Teaching period | Campus | Mode |
|---|---|---|
| First semester | Clayton | Blended |
Assessment
- Written100%
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
Understand the definitions, allowed usage, digital identification and licensing of open data
- 2
know about common open data sources, how they are used and effectively search for new sources
- 3
explain the differences between data collection methods and the limitations for data analysis
- 4
work with the range of different data formats of open data, including APIs
- 5
understand ethical constraints and privacy limits when working with open data
- 6
recognise the components of effective curation needed for open data.
Workload and teaching
- Seminars24 hours
- Workshops12 hours
- Tutorials12 hours
- Teaching approachActive learning
Minimum total expected workload to achieve the learning outcomes for this unit is 144 hours per semester typically comprising a mixture of scheduled learning activities and independent study. Independent study may include associated readings, assessment and preparation for scheduled activities. You are expected to complete all pre-class activities prior to your scheduled class, and post-class activities should be completed after your scheduled class. Learning activities may include a combination of teacher directed, peer directed and online engagement activities.
This unit engages you in actively applying your knowledge, skills and attributes in interactive, collaborative and reflective activities.
Where it fits
ETC5512 is part of 2 areas of study in the 2026 handbook.
Contacts
- Chief Examiners
- Dr Kate Saunders
Common questions
What are the prerequisites for ETC5512?
ETC5512 has no prerequisites.
What can I take after ETC5512?
ETC5512 is a prerequisite or corequisite for 3 units, including ETC4500, ETC5450 and ETC5543.
When is ETC5512 offered?
In 2026, ETC5512 runs in Semester 1 at Clayton.
How much work is ETC5512?
The handbook expects about 144 hours of study across the semester. No students have rated its difficulty yet.
Does ETC5512 have an exam?
No. ETC5512 has 1 assessment task and no exam.
Which majors and minors include ETC5512?
ETC5512 is part of Business analytics and Econometrics.