MINING 3073 - Mine Planning
North Terrace Campus - Semester 2 - 2021
General Course Information
Course Code MINING 3073 Course Mine Planning Coordinating Unit School of Civil, Environmental & Mining Eng Term Semester 2 Level Undergraduate Location/s North Terrace Campus Units 3 Contact Up to 4 hours per week Available for Study Abroad and Exchange N Assumed Knowledge MINING 3070 & MINING 3071 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 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.
Course Coordinator: Dr Abbas TaheriDr. Thomas Bruning
School of Civil, Environmental and Mining Engineering
The full timetable of all activities for this course can be accessed from Course Planner.
DAY TIME VENUE ACTIVITY Mondays 1-2pm Eng Maths, EM212 Lecture Tuesdays 12-1pm Eng Maths, EM213 Tutorial Thursdays 2-4pm IW 234 CAT Suite Practical
Course Learning OutcomesOn successful completion of this course students will be able to:
1 Explain the process of the mine planning & evaluation 2 Understand the principles of surface and underground mine planning 3 Understand geological considerations in mine planning 4 Calculate the time value of money, and the impact on mine planning 5 Develop optimal strategic mine plans including ultimate pit limit analysis, production scheduling and cut-off grade analysis 6 Apply algorithms and computer software to compliment the strategic mine optimisation process 7 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)
1-8 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
1-5 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
3-5 Career and leadership readiness
- technology savvy
- professional and, where relevant, fully accredited
- forward thinking and well informed
- tested and validated by work based experiences
3-5 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
3-5 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
MEA Mine Planning Course Notes (2012) - available on Myuni.
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.
Learning & Teaching Activities
Learning & Teaching Modes
- Lecture presentations
- Tutorial sessions
- Group discussions
The information below is provided as a guide to assist students in engaging appropriately with the course requirements.The information below is provided as a guide to assist students in engaging appropriately with the course requirements.
- Lecturer = 1 hour per week;
- Tutorials/Labs = 2-3 hours per week,
- Self-study = 6 hours per week
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 RequirementsStudents 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.
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 Task Weighting (%) Individual/ Group Formative/ Summative Due (week)* Hurdle criteria Learning outcomes Assignments 10 Individual Summative Weeks 3 & 5 1. 2. 3. 4. 5. Quiz 20 Individual Summative week 6 2. 3. 4. Pit Optimisation and Financial Technical Modelling Project 40 Group Formative / Summative weeks 12 3. 4. 5. Final Examination 30 Individual Formative / Summative Week 13 50% 3. 4. 5. Total 100
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 RequirementsHurdle Requirement:
- To be able to pass this course you must obtain 40% or more in the Final Examination
Assessment DetailClosed Book Quiz
In-Class Assessment Learning Objectives Assessed: 1- 3
Due Date: Quiz (Week 6)
Duration: 90 Minutes
Format: Multiple-choice Questions, descriptive questions, true/false.
Marking Criteria: As per the model answers.
Individual Assignments (Mine Method Selection, Financial Model)
Type: Summative Assessment Learning Objectives Assessed: 1-2, 6-7
Due Date: Week 3, 8
Number of assignments: two
Format: Formal report (in Word format or PDF format, submission through MyUni)
Marking Criteria: As described in the guidelines
Group Project (Pit Optimisation and Financial Modelling)
Type: Summative Assessment Learning Objectives Assessed: 4-7
Due Date: Week 12
Format: Formal report (in Word format or PDF and Xls format, submission through MyUni)
Marking Criteria: As described in project guidelines
Type: Summative Assessment
Learning Objectives Assessed: 3-5
Marking Criteria: As per Examiner’s Guidelines & model answers
Weighting/Marks: This Examination is worth 30% 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.
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.
Final results for this course will be made available through Access Adelaide.
- Please submit all work via Myuni.
- The Lecturer will assess your submissions using the electronic copies
- You will receive feedback through MyUni system
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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 (http://www.adelaide.edu.au/policies/101/) 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.
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