ETC5522 Advanced data handling
Faculty of Business and Economics
ETC5522 Advanced data handling is a level 5, 6-credit-point, postgraduate unit from the Faculty of Business and Economics. It isn't offered in 2020. It needs ETC5511.
- Credit points
- 6
- Offered in 2020
- Not offered
- Workload
- 144 hours
- per semester
This is the 2020 handbook entry. See the 2027 entry.
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Requisites
Before ETC5522
Prerequisites
Pass these before you enrol.
After ETC5522
No unit lists ETC5522 as a prerequisite in the 2020 handbook.
Overview
This unit will develop students' skills in working with dates and times, Geospatial data and web data in R.
Offerings in 2020
The 2020 handbook lists no offerings for ETC5522.
Learning outcomes
When you finish this unit, you should be able to:
- 1
understand the properties of spatio-temporal data
- 2
effectively wrangle and visualise spatio-temporal data
- 3
learn how to efficiently work with big data.
Workload and teaching
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. The unit requires on average three/four hours of scheduled activities per week. Scheduled activities may include a combination of teacher directed learning, peer directed learning and online engagement.
Contacts
- Chief Examiners
- Professor Dianne Cook
Common questions
What are the prerequisites for ETC5522?
You need ETC5511 before you enrol.
When is ETC5522 offered?
ETC5522 has no offerings listed in the 2020 handbook.
How much work is ETC5522?
The handbook expects about 144 hours of study across the semester. No students have rated its difficulty yet.