Your upfront cost: $0
- 11 Jul 2022
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Times Higher Education Ranking 2022
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).
- 1 Data Analytics and Basic Statistics
- 2 Data and Data Wrangling
- 3 Supervised Learning
- 4 Unsupervised Learning and Text Processing
- 5 Image Processing
- Online discussion – literature review (week of 15-19 Mar 2021)
Open Access with following restrictions: a bachelor in earth science/geology with honours or a bachelor of science with 2 years industry experience
No additional requirements
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.
- 100 short-answer questions (3 hours) (20%)
- 8 minute video, and online discussion posts (15%)
- 1,000 word report with supporting graphs and figures (25%)
- 15 minute group presentation and 2,500 word group report (40%)
Current study term: 10 Jul 22 to 16 Oct 22
Check the learning management system (LMS) of your university for textbook details.