Course content

The course covers some of the advanced tools provided by information technology to manage spatial information throughout the life cycle of mining projects. Among the aspects dealt with are geostatistics and quantitative modelling of deposits. The academic content will be custom made to the candidate(s).

Learning outcome

Competencies

After completing the course, the student will

• Be able to see various aspects of mineral resource management in light of one's own PhD project.
• Understand and be able to discuss the significance of and connection between the various unit operations from deposit to product, associated secondary operations, and how these can be analyzed and assessed with different types of IT systems.
• Have a well-developed ability for critical thinking and be able to utilize this to quality-assure and further develop relevant disciplines defined by the intersection between mineral resource management and the topic of one's own PhD project.

Knowledge and skills

After completing the course, the student will

• Be able to describe, model, and visualize deposit variations using appropriate software.
• Be able to contribute to promoting and further developing IT systems, their use, and geodata related to one's own discipline.
• Develop synergies between one's own discipline and IT systems for mineral extraction that promote and contribute to developing sustainable mineral extraction.

Learning methods and activities

Practical classes are used for independent work on relevant themes within the subject. Course evaluation is done by the participating students.

Specific conditions

Required previous knowledge

Master's degree or equivalent in mining, or approval from course coordinator.

Course materials

Selected literature from textbooks and international journals.

Credit reductions