EAE5069 Data analysis in earth sciences
Faculty of Science
EAE5069 Data analysis in earth sciences is a level 5, 6-credit-point, postgraduate unit from the Faculty of Science, offered in 2026 in Semester 1 at Clayton. It has no prerequisites.
- Credit points
- 6
- Offered in 2026
- Semester 1
- Clayton
- Assessment
- No exam
- 3 tasks
This is the 2026 handbook entry. See the 2027 entry.
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Requisites
Before EAE5069
No prerequisites or corequisites besides the enrolment rules below.
After EAE5069
No unit lists EAE5069 as a prerequisite in the 2026 handbook.
Equivalent units
The same content under another code. Only one of them counts.
Overview
This unit will provide you with the skills needed for advanced data analysis in Earth Sciences using Python. You will learn techniques for managing, analysing and communicating complex data based on real-world scenarios or your own research. The analysis component will include standard methods such as correlations, power spectra, regridding and curve-fitting.
Offerings in 2026
| Teaching period | Campus | Mode |
|---|---|---|
| First semester | Clayton | On campus |
Assessment
- Extended abstractWritten50%
- Code publishingArtefact25%
- Lightning presentationPresentation25%
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
Apply advanced programming to manage and manipulate data in Python;
- 2
Apply major techniques of data analysis in Earth Science;
- 3
Communicate data-analysis results at the level of peer-reviewed research papers;
- 4
Publish reproducible methodology using best practice for open-source data analysis;
- 5
Be able to independently asses and troubleshoot data analysis coding problems.
Workload and teaching
- Workshops50 hours
- Teaching approachActive learning
- Teaching approachPeer assisted learning
This unit is taught in an intensive manner over 6 weeks as follows:
- 20 hours of interactive workshops (Weeks 1 and 2);
- One 5-hour workshop (Weeks 3 and 4) and
- 94 hours of independent study over 6 weeks, which will include guided activities and preparation of a major assessment
Student coding in class.
Students helping other students with coding.
Learning resources
Required resources
Laptop
Contacts
- Chief Examiners
- Dr Andrew Gunn
- Unit Coordinators
- Dr Andrew Gunn
Common questions
What are the prerequisites for EAE5069?
EAE5069 has no prerequisites, but enrolment rules apply.
When is EAE5069 offered?
In 2026, EAE5069 runs in Semester 1 at Clayton.
Does EAE5069 have an exam?
No. EAE5069 has 3 assessment tasks and no exam.