Short-course 

Topic introduction: Machine learning has been applied successfully in mineral exploration targeting in the last decades. The aim of the short course is to provide an introduction to machine-learning based methods and tools for targeting mineral exploration to the most prospective regions.

Instructors: Ina Storch (Beak Consultants GmbH), Johanna Pesonen (Geological Survey of Finland)
Place: Tellus Stage 

Course description

In the first part of the short course, a short review will be provided about the concept of mineral predictive mapping. Following up, different machine learning algorithms will be presented and bound to mineral predictive mapping. 

The second part of the short course focuses on practical hands-on-training using a newly developed tool for mineral predictive mapping called “EIS” – Exploration Information System. The EIS tool is open source and will be able to run for free on the computer of the participants.

Specific topics of the short course include

• Short introduction to mineral predictive mapping concepts
• Review of machine learning algorithms applied to mineral predictive mapping, e.g. neural networks, fuzzy logic, random forest
• Hands-on-training on open-source tool “EIS” for mineral systems approach and mineral predictive mapping: “EIS” provides a library of tools for using mineral systems approach and mineral predictive mapping in a combined graphical user interface. It runs under Quantum GIS (QGIS) on Windows systems. Training tutorial starts from installation of EIS Toolkit and EIS Plugin on the computer leading up to the final compilation of a mineral prospectivity map using the EIS Wizard in QGIS
  
  

Top “takeaways”

This short course will provide best practices, new ideas and insights into mineral exploration, especially with regards to application of the newly developed open source tool “EIS” for mineral predictive mapping. At the end of the course, participants will be able to run mineral predictive mapping on their own computer using the provided and trained open-source software tools.

Schedule

• 08:00: Arrival
• 08:00 – 10:00: Session 1
• 08:00 – 08:15: Welcome: Introduction and Course Layout
• 08:15 – 08:45: Overview of Mineral Predictive Mapping (MPM) Approach: Algorithms and Methods
• 08:45 – 09:00: Introduction EIS: Exploration Information System
• 09:00 – 09:30: EIS Toolkit and EIS Plugin: Overview
• 09:30 – 10:00: EIS Toolkit and EIS Plugin: Hands-On Training / Installation Part 1
• 10:00 – 10:30: Coffee & tea break
• 10:30 – 12:30: Session 2
• 10:30 – 11:00: EIS Toolkit and EIS Plugin: Hands-On Training / Installation Part 2
• 11:00 – 12:30: EIS Wizard: Hands-On Training / Tutorial, Part 1
• 12:30 – 13:30 Lunch break
• 13:30 – 15:00 Session 3
• 13:30 – 15:00: EIS Wizard: Hands-On Training / Tutorial, Part 2
• 15:00 – 15:30 Coffee & tea break
• 15:30 – 17:00 Session 4
• 15:30 – 16:30: EIS Wizard: Hands-On Training / Tutorial, Part 3
• 16:30 – 17:00: Case Study: Mineral Potential Mapping for IOCG in Finland
• 17:00 Closing