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GeoData Analytics
Postgraduate | TAS-KEA713 | 2024
- Study method
- 100% online
- Assessments
- 100% online
- Entry requirements
- Part of a degree
- Duration
- 14 weeks
FEE-HELP available
GeoData Analytics
About this subject
Upon completion of this subject, the students should be able to:
- Describe methods for the preparation and processing of geoscience data for multivariate analysis
- Construct workflows for semi-automated and repeatable analysis and modelling of geoscience data
- Explain how pattern recognition and machine learning can be used for computer-assisted interpretation and inference in the minerals industry
- Analyse geoscience data to identify previously unrecognised relationships and/or patterns to address mineral industry problems
- Communicate data analytics results and models to diverse audiences (e.g. with or without geoscience domain expertise)
- Refer to Mylo for study topics
Geodata Analytics explains and applies the fundamental concepts of database handling and manipulation, statistical analyses, pattern recognition and machine learning for the processing, analysis and modelling of large volumes of multivariate geoscience data. Rigorous approaches to integrating, analysing, visualising and interpreting geochemical, geophysical and geological information are applied to a range of contemporary geoscience problems in mineral exploration, ore extraction and processing, and mining waste management. Geodata analytics is available as an OPTIONAL subject in the Mastery block of the Master of Economic Geology degree and is delivered in three online modules. Module 1 (6 weeks) involves self-directed learning using a mix of prescribed and self-located reading material, short videos and online exercises. Module 2 is a five-day intensive study block involving ~10 hrs lectures and ~30 hours of practicals and tututorials. Module 3 (4 weeks) involves group and individual work on an assignment with targeted online tutorials provided as required.
- Online Quiz (20%)
- Literature Review (15%)
- Image Classification Assignment (25%)
- Geoscience Data Analysis Assignment (40%)
For textbook details check your university's handbook, website or learning management system (LMS).
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Entry requirements
To enrol in this subject, you must be admitted into a degree.
Additional requirements
No additional requirements
Study load
- 0.25 EFTSL
- This is in the range of 20 to 24 hours of study each week.
Equivalent full time study load (EFTSL) is one way to calculate your study load. One (1.0) EFTSL is equivalent to a full-time study load for one year.
Find out more information on Commonwealth Loans to understand what this means to your eligibility for financial support.