Courses & Units
Exploration in Brownfield Terrains KEA710
Introduction
Exploration in data-rich environments, close to existing mines, has become a preferred method of increasing company resources in recent years. With that exploration philosophy in mind, this Masters-level unit is designed to bring students up to date with the latest techniques and analytical approaches applicable to exploration in data rich environments. The unit, delivered in two-week intensive short course format, covers cutting-edge technologies in machine learning, geophysics, geochemistry, hyperspectral mineral analysis and 3D visualisation, using real data from world-class mineralised districts.
Summary
| Unit name | Exploration in Brownfield Terrains |
|---|---|
| Unit code | KEA710 |
| Credit points | 25 |
| College/School | College of Sciences and Engineering School of Natural Sciences |
| Discipline | Earth Sciences |
| Coordinator | Doctor Robert Scott |
| Delivered By | University of Tasmania |
| Level | Postgraduate |
Availability
| Location | Study period | Attendance options | Available to | ||
|---|---|---|---|---|---|
| Hobart | Spring school | Off-Campus | International | Domestic | |
Key
- On-campus
- Off-Campus
- International students
- Domestic students
Key Dates
| Study Period | Start date | Census date | WW date | End date |
|---|---|---|---|---|
| Spring school | 24/10/2022 | 8/11/2022 | 1/12/2022 | 8/1/2023 |
* The Final WW Date is the final date from which you can withdraw from the unit without academic penalty, however you will still incur a financial liability (refer to How do I withdraw from a unit? for more information).
Unit census dates currently displaying for 2022 are indicative and subject to change. Finalised census dates for 2022 will be available from the 1st October 2021. Note census date cutoff is 11.59pm AEST (AEDT during October to March).
Learning Outcomes
- Recognise opportunities for additional discoveries based on comprehension of drivers for brownfields exploration; the amount, distribution and quality of available mineral exploration data; and the application of new ore deposit models and detection tools
- Integrate geological, geochemical and geophyscial datasets to detect mineralized domains in brownfields settings
- Interpret real-world industry geological, geochemical and geophysical datasets (used for resource modelling and reporting by competent industry professionals) using state of the art geochemical data analysis and 3-D geological modelling and visualisation software
- Evaluate previous brownfields exploration strategies for a mining district (or deposit type) by researching published literature and other publicly available information (e.g. mining company websites)
- Explain interpretations of prospectivity of brownfields environments
Fee Information
| Field of Education | Commencing Student Contribution 1,3 | Grandfathered Student Contribution 1,3 | Approved Pathway Course Student Contribution 2,3 | Domestic Full Fee 4 |
|---|---|---|---|---|
| 010703 | $2,005.00 | $2,005.00 | not applicable | $4,708.00 |
1 Please refer to more information on student contribution amounts.
2 Please refer to more information on eligibility and Approved Pathway courses.
3 Please refer to more information on eligibility for HECS-HELP.
4 Please refer to more information on eligibility for FEE-HELP.
If you have any questions in relation to the fees, please contact UConnect or more information is available on StudyAssist.
Please note: international students should refer to What is an indicative Fee? to get an indicative course cost.
Teaching
| Assessment | Presentation (individual or group) (10%)|Assignment (40%)|Assignment (30%)|Literature review (20%) |
|---|---|
| Timetable | View the lecture timetable | View the full unit timetable |
Textbooks
| Required |
Required readings will be listed in the unit outline prior to the start of classes. |
Links | Booktopia textbook finder |
|---|
The University reserves the right to amend or remove courses and unit availabilities, as appropriate.