Course level

Undergraduate

Faculty

Engineering, Architecture & Information Technology

School

Mech & Mine Engineering School

Units

1

Duration

One Semester

Class hours

Lecture 1 Hour/ Ad Hoc
Practical 1 Hour/ Ad Hoc

Recommended companion

Assessment methods

Project progress report (40%), Project final report (60%)

Course enquiries

Professor Peter Knights (p.knights@uq.edu.au)

Study Abroad

This course is pre-approved for Study Abroad and Exchange students.

This course is not currently offered, please contact the school.

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