 Price$1,650 |  Duration60 hours |  DeliveryOnline |  Starts19 Sep - 24 Sep |
About this course
This intensive 1-week course offers you the opportunity to expand your knowledge and learn from industry experts through a mixture of online lectures and practical online workshops.
Guest lectures will be given by experts in the fields of the following areas:
- Geological databases and online data access
- Compositional data analysis
- Text processing and mining
- Network analysis
- Unsupervised learning and segmentation
- Supervised image classification
- Deep learning
You will learn how to identify, integrate and process relevant data to produce models, and how to carry out analysis and visualization with an emphasis on reproducibility and reporting outcomes. The datasets in this course will focus specifically on mineral exploration or mining-related problems.
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.
Who should do this course?
This course is designed for mineral industry professionals and under-employed industry professionals looking to increase their skills and knowledge.
All participants must complete Geodata Analytics: Fundamentals before registering for the next courses in this series; Geodata Analytics: Methods and Tools and Geodata Analytics: Collaboration, Interpretation and Communication.
Course Structure
This course is fully online and includes a mixture of online lectures and practical workshops. As a general guide, we recommend allocating 60 hours of study time to complete this course. You will have access to all course materials until January 2023.
All participants will receive a Certificate of Completion after completing this course.
What you will learn
Appreciate the value of data analytics to mineral industry problems and identify future directions in geodata analytics.
Construct logical workflows for reproducibly analysing geoscience data.
Achieve a desired geodata analytics outcome through sound theoretical knowledge and exploratory data analysis.
Produce analysis of geoscience data that identifies a previously unknown geological relationship/pattern.
Meet your instructors
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.