COURSE UNIT TITLE

: COMPUTER AIDED MINE DESIGN

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
MIN 5064 COMPUTER AIDED MINE DESIGN ELECTIVE 2 0 0 6

Offered By

Graduate School of Natural and Applied Sciences

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

PROFESSOR DOCTOR AHMET HAKAN ONUR

Offered to

Mining Operation
Mining Operation
Mining Operation

Course Objective

There are lots of computer programs available in market today doing optimization on both open-pit and underground mining. The main logic behind all the programs are almost the same. In this lecture, first of all, students are given the basic idea about the computer applications in mining industry step by step. The topics of modelling the ore body, borehole interpolations techniques, geological data analysis, mine plan and scheduling and simulations will be covered in the scope of this lecture.

Learning Outcomes of the Course Unit

1   This course is expected to teach the students how to develop a solution to a mine related problem by computers.
2   To develop the students computer modelling abilities and use a simple compiler to solve some engineering problem
3   To be able to use a mining software for both underground and open pit mine design
4   To gain ability to apply mathematical modelling techniques and computer applications on mining projects
5   To have ability to write and present a report on mine projects

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Introduction of computers and algorithm techniques in general, algorithm establishment methods, simple flow charts and programming techniques
2 Introduction of borehole interpolation techniques Application of algorithms in borehole interpolation Computer application in SURPAC software
3 The idea behind the block model establishment. Regular and irregular block models, cross section models, string models, DTM surface models,
4 Block model application in SURPAC mining software Example block modelling practices on computer
5 Open pit mine design techniques, moving cone algorithm Graph theory for defining the final pit limits Korobov algorithm
6 Mid Term exam
7 Definition of cut of grade, establishment of block revenue and economic evaluation of the blocks
8 Computerized application of final pit limit of open pits Sample application on SURPAC software
9 Computerized operation research techniques, simulation, mining economics, mathematical modelling of mineral recourses
10 Term Project assignment
11 Underground mine design, preparation of mining shafts, haulage drives, production opening, stope development, DTM surface modelling, 3D view of mine projects
12 Computer application of underground mine design on SURPAC, area and volume calculation techniques
13 Topographic mapping techniques, 3D mapping, visualization of the ore and topography, definition of geological structure in computers
14 In class presentation of homework and projects

Recomended or Required Reading

1. Robinson, R.H., 1972 10. Application of computer in the mineral industries symposium , Johannesburg,
2. Mutmansky, J.,M., 1979, Computer methods for the 80 s in the mineral industry , SME, Port city press, New York,
3. Wayne L.,W., 1991, Operations research applications and algorithms , PWS-Kent, Boston,
4. William M.,N., 1979, Principles of interactive computer graphics , McGraw-Hill, Singapore,

Planned Learning Activities and Teaching Methods

Lesson will be thought by visual teaching technique and classroom discussions. Homework will be giving to provide better understanding, computer applications will be made during the course.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 PRJ PROJECT
3 FIN FINAL EXAM
4 FCG FINAL COURSE GRADE MTE * 0.35 + PRJ * 0.15 + FIN * 0.50
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.35 + PRJ * 0.15 + RST * 0.50


*** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

CLO 1, CLO 2, CLO 4 Laboratory work
CLO2 ,CLO3, CLO5, Homework Assignments
CLO2 ,CLO3, CLO4, CLO5, Project
CLO 2, CLO 3, CLO 4, Final Exam

Language of Instruction

English

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

ahmet.onur@deu.edu.tr / office phone: (232) 3017501

Office Hours

Fridat at 15:00-17:00

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 6 2 12
Tutorials 6 2 12
Preparations before/after weekly lectures 12 3 36
Preparation for final exam 1 20 20
Preparation for midterm exam 1 20 20
Preparing assignments 1 25 25
Preparing presentations 1 15 15
Final 1 4 4
TOTAL WORKLOAD (hours) 144

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11
LO.1232152
LO.2224341
LO.344
LO.43122
LO.5455

CONTACT INFORMATION
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Phone: +90(232) 412 12 12 - Fax: +90 (232) 464 81 35

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