MINING 7073 - Mine Planning

North Terrace Campus - Semester 2 - 2019

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 metalliferous 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.

  • General Course Information
    Course Details
    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
    Assessment Quiz, Design Project, Financial Model, Final Exam )
    Course Staff

    Course Coordinator: Thomas Bruning

    Assoc Professor Emmanuel Chanda
    Chair - Program Leaders Committee, Mining Education Australia
    School of Civil, Environmental and Mining Engineering


    Phone: (08) 83137410

    Consulting Hours:
    Tuesdays: 3-5pm
    Wednesdays: 2-4pm
    Thursdays: 12 - 2pm
    Course Timetable

    The full timetable of all activities for this course can be accessed from Course Planner.

    Tuesdays 12-1pm IW 218 Tutorial
    Wednesdays 9-11am CAT Suite 5 (G22) Computer Lab
    Wednesdays 11-12pm G28 (Lower Napier) Lecture
  • Learning Outcomes
    Course Learning Outcomes
    On successful completion of this course students will be able to:

    1 Explain the process of the mine planning & evaluation
    2 Calculate 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

    The above course learning outcomes are aligned with the Engineers Australia Stage 1 Competency Standard for the Professional Engineer.
    The course is designed to develop the following Elements of Competency: 1.2   1.3   1.4   1.5   1.6   2.1   2.2   2.3   2.4   3.1   3.2   3.3   3.4   3.5   3.6   

    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)
    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
    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
    Career and leadership readiness
    • technology savvy
    • professional and, where relevant, fully accredited
    • forward thinking and well informed
    • tested and validated by work based experiences
    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
    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
  • Learning Resources
    Required Resources
    • On-line Course Resources (MyUni) MEA
    • Mine Planning Course Notes (2012) - available on Myuni.
    Recommended Resources
    Hustrulid, 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.
    Online Learning
    • Myuni Course - Mine Planning Active
  • Learning & Teaching Activities
    Learning & Teaching Modes
    • Lecture Presentation
    • Tutorial Sessions
    • Group discussions

    No information currently available.

    Learning Activities Summary
    This course uses a number of different teaching and learning activities including:
    • Lectures
    • 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 Experience
    Students 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.
  • Assessment

    The University's policy on Assessment for Coursework Programs is based on the following four principles:

    1. Assessment must encourage and reinforce learning.
    2. Assessment must enable robust and fair judgements about student performance.
    3. Assessment practices must be fair and equitable to students and give them the opportunity to demonstrate what they have learned.
    4. Assessment must maintain academic standards.

    Assessment Summary
    Assessment Task Weighting (%) Individual/ Group Formative/ Summative
    Due (week)*
    Hurdle criteria Learning outcomes
    Weekly Tutorials 5 Individual Summative Weeks 2-12 1. 2. 3. 4. 5.
    Quiz 15 Individual Summative week 7 2. 3. 4.
    Pit Optimisation and Financial Technical Modelling Project 40 Group Formative / Summative weeks 3-10 3. 4. 5.
    Final Examination 40 Individual Formative / Summative Week 13 0.2 3. 4. 5.
    Total 100
    * The specific due date for each assessment task will be available on MyUni.
    This assessment breakdown is registered as an exemption to the University's Assessment for Coursework Programs Policy. The exemption is related to the Procedures clause(s): 1. a. i   
    This course has a hurdle requirement. Meeting the specified hurdle criteria is a requirement for passing the course.
    Assessment Related Requirements
    Hurdle Requirement:

    • To be able to pass this course you must obtain 50% or more in the Final Examination
    Assessment Detail

    No information currently available.


    All assessment to be submitted on-line as required via MyUni. Reports to be submitted both as hard and soft copy.

    Late Submission:

    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.
    Course Grading

    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.

    Type: Formative
    In-Class Assessment Learning
    Objectives Assessed: All
    Due Date: Weekly
    Weight: 5%
    Duration: 30 minutes to 2 hours
    Format: Class activity; submit at end of class Marking Criteria: As per model answers.

    Closed Book Quiz

    Type: Formative
    In-Class Assessment Learning
    Objectives Assessed: 1- 3
    Due Date: Quiz(Week 7)
    Weighting: 15%
    Duration: 90 Minutes
    Format: Multiple-choice Questions – includes calculation type questions, true/false.
    Marking Criteria: As per model answers.
    Closed Book:

    Group Project(Pit Optimisation)

    Type: Summative AssessmentLearningObjectives Assessed: 3, 4
    Due Date: Week 10
    Weighting: 20%
    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.

    Special Instructions:
    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
  • Student Feedback

    The University places a high priority on approaches to learning and teaching that enhance the student experience. Feedback is sought from students in a variety of ways including on-going engagement with staff, the use of online discussion boards and the use of Student Experience of Learning and Teaching (SELT) surveys as well as GOS surveys and Program reviews.

    SELTs are an important source of information to inform individual teaching practice, decisions about teaching duties, and course and program curriculum design. They enable the University to assess how effectively its learning environments and teaching practices facilitate student engagement and learning outcomes. Under the current SELT Policy ( course SELTs are mandated and must be conducted at the conclusion of each term/semester/trimester for every course offering. Feedback on issues raised through course SELT surveys is made available to enrolled students through various resources (e.g. MyUni). In addition aggregated course SELT data is available.

  • Student Support
  • Policies & Guidelines
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