Mining Data Analytics (MINE2107)
Information valid for Semester 1, 2018
Course level
Undergraduate
Faculty
Engineering, Architecture & Information Technology
School
Mech & Mine Engineering School
Units
1
Duration
One Semester
Delivery mode
Internal
Class hours
Lecture 1 Hour/ Ad Hoc
Practical 1 Hour/ Ad Hoc
Recommended companion
STAT2201
Assessment methods
Project progress report (40%), Project final report (60%)
Course enquiries
Study Abroad
This course is pre-approved for Study Abroad and Exchange students.
Course description
This course enables students to apply theoretical knowledge of statistics to resolve an applied mining data analytics project utilising advanced spreadsheet techniques. After successfully completing this course you should be able to:
1 Research a mining engineering topic as part of a team under supervision.
2 Apply statistical knowledge to a practical mining engineering case study
3 Acquire a working knowledge of spreadsheet programs to solve practical mining problems.
4 Communicate results of mining engineering studies at an appropriate level.
Archived offerings
Course offerings | Location | Mode | Course Profile |
Semester 1, 2018 (19/02/2018 - 23/06/2018) | St Lucia | Internal | Course Profile |