MINING 7073 - Mine Planning
North Terrace Campus - Semester 2 - 2016
General Course Information
Course Code MINING 7073 Course Mine Planning Coordinating Unit School of Civil, Environmental & Mining Eng Term Semester 2 Level Postgraduate Coursework Location/s North Terrace Campus Units 3 Contact Up to 4 hours per week Available for Study Abroad and Exchange N Course Description This course deals with the theoretical principles and practical methodologies associated with mine planning. The course presents principles of surface and underground mine planning and valuation applicable to metaliferous and coal mining projects. Students will be introduced to basic manual procedures, computer applications or algorithms/methods, and mathematical modelling.
Students will be expected to complete a mine planning project with emphasis on pit optimisation, long term production scheduling and financial technical modelling.
Course Coordinator: Adjunct Associate Pr Emmanuel ChandaAssoc Professor Emmanuel Chanda
Chair - Program Leaders Committee, Mining Education Australia
School of Civil, Environmental and Mining Engineering
Phone: (08) 83137410
Thursdays: 12 - 2pm
The full timetable of all activities for this course can be accessed from Course Planner.
DAY TIME VENUE ACTIVITY Tuesdays 12-1pm IW 218 Tutorial Wednesdays 9-11am CAT Suite 5 (G22) Computer Lab Wednesdays 11-12pm G28 (Lower Napier) Lecture
Course Learning Outcomes1. Demonstrate comprehension of the mine planning process
2. Demonstrate an appreciation of the time value of money, and the impact on mine planning
3. Develop optimal strategic mine plans including ultimate pit limit analysis, production scheduling and cut-off grade analysis
4. Apply algorithms and computer software to compliment the strategic mine optimisation process
5. Create realistic, integrated financial models of mining projects.
University Graduate Attributes
This course will provide students with an opportunity to develop the Graduate Attribute(s) specified below:
University Graduate Attribute Course Learning Outcome(s) Deep discipline knowledge
- informed and infused by cutting edge research, scaffolded throughout their program of studies
- acquired from personal interaction with research active educators, from year 1
- accredited or validated against national or international standards (for relevant programs)
1, 2, 3, 4, 5 Critical thinking and problem solving
- steeped in research methods and rigor
- based on empirical evidence and the scientific approach to knowledge development
- demonstrated through appropriate and relevant assessment
2, 3, 4 Teamwork and communication skills
- developed from, with, and via the SGDE
- honed through assessment and practice throughout the program of studies
- encouraged and valued in all aspects of learning
4, 5 Career and leadership readiness
- technology savvy
- professional and, where relevant, fully accredited
- forward thinking and well informed
- tested and validated by work based experiences
4 Intercultural and ethical competency
- adept at operating in other cultures
- comfortable with different nationalities and social contexts
- able to determine and contribute to desirable social outcomes
- demonstrated by study abroad or with an understanding of indigenous knowledges
1 Self-awareness and emotional intelligence
- a capacity for self-reflection and a willingness to engage in self-appraisal
- open to objective and constructive feedback from supervisors and peers
- able to negotiate difficult social situations, defuse conflict and engage positively in purposeful debate
- On-line Course Resources (MyUni) MEA
- Mine Planning Course Notes (2012) - available on Myuni.
Recommended ResourcesHustrulid, WA and Kuchta, M, 2006. Open Pit Mine Planning & Design, Volume 1 – Fundamentals, 2nd Edition, 735p (Balkema: Rotterdam/Taylor and Francis: London).
Camus, Juan P., 2002, Management of Mineral Resources: Creating Value in the Mining Business, Society
for Mining, Metallurgy, and Exploration, Inc. Englewood, CO, USA.
Rudenno, V, 2004 The Mining Valuation Handbook – Australian Mining and Energy Valuation for Investors and management, 430p (WrightBooks: Victoria). Lane,
Kenneth F. 1988. The Economic Definition of Ore - Cut-Off Grades in Theory and Practice. Mining Journal Books Limited, London.
Runge, Ian C., 1998 Mining Economics and Strategy. Society for Mining, Metallurgy, and Exploration, Inc. Englewood, CO, USA.
- Myuni Course - Mine Planning Active
Learning & Teaching Activities
Learning & Teaching Modes
- Lecture Presentation
- Tutorial Sessions
- Group discussions
No information currently available.
Learning Activities SummaryThis course uses a number of different teaching and learning activities including:
- Tutorials (Problem-solving)
- Computer labs (hands-on software applications)
- Self-directed activities
- Group discussions
- Project-based learning
- Analysis of case studies
- Discussions with guest lecturers
Specific Course Requirements
- Peer Review using SPARK is mandatory in this Course for group work
- Students will be expected to complete a project on open pit mine planning and design with emphasis on pit optimisation, long term production scheduling and financial technical evaluation
- Postgraduate students will have additional tasks assigned in addition to those for undergraduate students
Small Group Discovery ExperienceStudents will work in groups of 4 to investigate the optimal mining plan for an open pit mining project and to develop a financial technical model of an underground mining project.
The University's policy on Assessment for Coursework Programs is based on the following four principles:
- Assessment must encourage and reinforce learning.
- Assessment must enable robust and fair judgements about student performance.
- Assessment practices must be fair and equitable to students and give them the opportunity to demonstrate what they have learned.
- Assessment must maintain academic standards.
Assessment SummaryAssessment Tasks:
- Tut/Lab (5%);
- Quiz (15%);
- Financial Modelling Assignment (20%);
- Whittle Project (20%);
- Final Examination (40%)
Assessment Related RequirementsHurdle Requirement:
- To be able to pass this course you must obtain 50% or more in the Final Examination
ASSESSMENT DUE DATE WEIGHTING CLOSs/CONTENT Tutorials weekly 5% [1,2,3,4,5] - active learning Quiz week 7 15% [1-3] - multiple choice/short answers Whittle optimisation Project start wk5; due wk10 20% [3,4]-pit optimisation project using Software Financial Modelling Assignment start wk2; due wk 9 & 12 20%  - dveleop a financial technical models from mine schedule Final Examination Week 14 40% [1-5] - comprehensive examination
All assessment to be submitted on-line as required via MyUni. Reports to be submitted both as hard and soft copy.
Late submissions will in most cases receive a zero mark. A late submission will only be allowed when a deferred deadline has been approved by the course coordinator prior to due date because of medical or extenuating circumstances. This will require documented evidence, e.g. Medical Certificate, etc.
Grades for your performance in this course will be awarded in accordance with the following scheme:
M10 (Coursework Mark Scheme) Grade Mark Description FNS Fail No Submission F 1-49 Fail P 50-64 Pass C 65-74 Credit D 75-84 Distinction HD 85-100 High Distinction CN Continuing NFE No Formal Examination RP Result Pending
Further details of the grades/results can be obtained from Examinations.
Grade Descriptors are available which provide a general guide to the standard of work that is expected at each grade level. More information at Assessment for Coursework Programs.Tutorials
In-Class Assessment Learning
Objectives Assessed: All
Due Date: Weekly
Duration: 30 minutes to 2 hours
Format: Class activity; submit at end of class Marking Criteria: As per model answers.
Closed Book Quiz
In-Class Assessment Learning
Objectives Assessed: 1- 3
Due Date: Quiz(Week 7)
Duration: 90 Minutes
Format: Multiple-choice Questions – includes calculation type questions, true/false.
Marking Criteria: As per model answers.
Group Project(Pit Optimisation)
Type: Summative AssessmentLearningObjectives Assessed: 3, 4
Due Date: Week 10
Format: Formal report (in Word format only, submission through MyUni according to MEA Report Writing Guidelines)Marking
Criteria: As described in project guidelines
Group Assignment (Financial Modelling)
Type: Summative Assessment Learning
Objectives Assessed: 2,5
Due Date: Week 9 & 12
Weighting: 20%Format: Submit (in Word or pdf and xls format only, submission through the MyUni according to MEA report writing guidelines)
Marking Criteria: As described in project guidelines
Final Examination 40%
Type: Summative Assessment
Learning Objectives Assessed: 3-5
Marking Criteria: As per Examiner’s Guidelines & model answers
Exam Type: Calculations Closed book- No materials permitted. Permitted Materials: Calculator - Non programmable calculators are allowed (UNSW approved calculators only) Other – No electronic aids are permitted (e.g. laptops, phone), do dictionaries permitted
This Examination is worth 40% of the total mark for the course. Each question's mark will be indicated on the question sheet.
Students must comply with each University’s examinations regulations outlining the responsibilities of students during an examination.
Final results for this course will be made available through Access Adelaide.
- Please, submit all work via Myuni.
- The Lecturer will assess your submissions usign the electronic copy
- You will receive feedback through MyUni system
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