Geodata Analytics

Discover rigorous and reproducible methods for extracting and visualising meaningful information from geological data.

Time:Price
Various		Time:Duration
Various		Time:Delivery
Online 		Time:Starts
September

About this Short Course Series

In the geosciences, the use and availability of digital data is growing rapidly. As a result, industry-based geoscientists are expected to use sophisticated, cost-effective and innovative methods to process and interpret large amounts of multivariate digital data to enhance insight, decision making, and process automation.

This rapid and ongoing shift from manual to automated methods for modelling complex geological phenomena has resulted in a knowledge gap. This limits the possible degree of understanding and knowledge to be gained from data or in the worst case, poor choices for analyses may lead to erroneous interpretations.

The Geodata Analytics Series will focus on rigorous and reproducible methods for extracting and visualising meaningful information from geological data.

Successful completion of all assessments in this course series will make you eligible to receive credit into the Master of Economic Geology. For more information please contact short.course@utas.edu.au

Available in this series

Meet your instructor

Dr Matthew Cracknell

Dr Matthew Cracknell is a Lecturer in Geodata Analytics for the Discipline of Earth Sciences and the Centre for Ore Deposit and Earth Sciences (CODES). Matt is heavily involved in teaching across all levels of undergraduate and postgraduate learning and is passionate about promoting deep engagement and facilitating place-based learning opportunities. In recent years, he has developed undergraduate and postgraduate learning opportunities that encompassing all stages of the mining value chain, through environmental geophysics and the emerging field of Geodata Analytics.

View Matthew's Staff Profile