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CODES MASTER OF ECONOMIC GEOLOGY SHORT COURSE: Geodata Analytics

Australian Institute of Geoscientists > Events > CODES MASTER OF ECONOMIC GEOLOGY SHORT COURSE: Geodata Analytics

CODES MASTER OF ECONOMIC GEOLOGY SHORT COURSE: Geodata Analytics

MASTER OF ECONOMIC GEOLOGY SHORT COURSE

via online delivery

Geodata Analytics

 

Date & Time

PART 1 – FUNDAMENTALS: 8 August – 18 September 2022 (6 weeks)
PART 2 – METHODS AND TOOLS: 19 – 24 September 2022 (1 week)
PART 3 – COLLABORATION, INTERPRETATION AND COMMUNICATION: 26 September—16 October 2022 (4 weeks)

Delivery will be in English, and interactive sessions (Part 2: 19-24 September) will occur between 9AM – 5PM AEST (UTC+10)

 

In the geosciences, as in all areas of human endeavour, the amount and availability of digital data is increasing exponentially. Increasingly, industry-based geoscientists will be 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 short course is a timely addition to the CODES Master of Economic Geology degree and will focus on rigorous and reproducible methods for extracting and visualising meaningful information from geological data. Participants will learn data science fundamentals, how to design and construct automated workflows and communicate resultant models to aid collaborative interpretation and facilitate decision making.

This short course is divided into three parts delivered online and in succession.

 

COURSE PRESENTERS

Matthew Cracknell is a Lecturer and Researcher at CODES. He is an expert in geoscience data analysis, modelling and visualisation.

Guest presenters for the course will be confirmed soon.

 

COURSE INFORMATION

Participants should ensure they have admin rights on their computer. Those completing Parts 2 and 3 will also need to be able to access/ use various platforms/software packages such as Youtube and Zoom in order to complete assessment items. More information will be provided in an FAQ document once registration is complete.

 

PRELIMINARY PROGRAM

PART 1 – FUNDAMENTALS

Online self-directed & self-paced learning
8 August—18 September 2022 (6 weeks)

Basic statistics, databases and exploratory data analysis, data formats and data preparation such as filtering and transformation, classification and querying of database queries, image analysis and segmentation. Peer-review of literature and a case study involving data analytics.
Lesson topics:
  • Data analytics and basic statistics
  • Databases and data wrangling
  • Data transforms, dimensionality reduction and text processing
  • Unsupervised learning
  • Supervised learning
  • Image processing
PART 2 – METHODS AND TOOLS

Online lectures and practicals – intensive delivery
19 – 24 September 2022 (1 week)

Identify, integrate and process relevant data to produce models, carry out analysis and visualization with an emphasis on reproducibility and reporting outcomes. Datasets will focus on mineral exploration or mining-related problems.
Lesson topics:
  • Geological databases and online data access
  • Compositional data analysis
  • Text processing and mining
  • Network analysis
  • Unsupervised learning and segmentation
  • Supervised image classification
  • Deep learning
PART 3 – COLLABORATION, INTERPRETATION AND COMMUNICATION

Online self-directed & collaborative self-paced learning
26 September – 16 October 2022 (4 weeks)

Using a variety of geoscience datasets and working both individually and in groups, students will carry out a series of data analyses to, for example, identify prospective areas in mineral exploration environment, or predict rock properties around a mine. Students will be required to integrate their analyses and findings in small groups and contribute to an online seminar.

 

REGISTRATION FEES

MGM Masters Students:
(Excludes UTAS tuition fee)
Full course (free) – University of Tasmania enrolled
Full course (free) – University of Western Australia enrolled

Industry Participants
Full course ($3,300)
Module one ($990)
Module two (requires completion of Module one) ($1,650)
Module three (requires completion of Module two) ($1,650)
Other Full-time Students:
Full course ($550)
Module one ($165)
Module two (requires completion of Module one) ($275)
Module three (requires completion of Module two) ($275)

 

Registration

REGISTRATION FORM

Registrations are due by the 29th of July, 2022. Full payments are due by the 4th of August, 2022.