COURSE UNIT TITLE

: OPTIMIZATION TECHNIQUES IN MINING

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
MIN 5050 OPTIMIZATION TECHNIQUES IN MINING ELECTIVE 2 0 0 5

Offered By

Graduate School of Natural and Applied Sciences

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

PROFESSOR DOCTOR BAYRAM KAHRAMAN

Offered to

Mining Operation
Mining Operation
Mining Operation

Course Objective

Every company have to take long-term or short term decisions in today s marketing.These decisions can be about, stock, price, production, investment, financing, employment, competing or etc... In these decisions the troubled event for engineers is indefiniteness. The effective way of solve this trouble is using quantitative methods.
For producing Mathematical solutions and building the optimization conditions for limited resources, using optimization techniques is vitial

Learning Outcomes of the Course Unit

1   Optimization of Mining Economy
2   Mining Cost Concepts
3   Traditional Analysis
4   Linear Analysis
5   Optimization Using Software Packages

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Optimization of Mining Economy
2 Mining Cost Concepts
3 cost Analysis
4 Optimization of Operating Costs
5 Analysis of Profit Point Zero
6 Traditional Analysis
7 Traditional Analysis
8 Projects presentation
9 Linear Analysis
10 Nonlinear Analysis
11 Profit Maximization, Relation of Profit Point Zero
12 Optimization Using Software Packages
13 Optimization Using Software Packages
14 Projects presentation

Recomended or Required Reading

THE MAIN SOURCE: OKKA, O., Mühendislik Ekonomisi (Çözülmüş Problemlerle) 3. Baskı, Nobel Yayın Dağıtım, Ankara, 2000.
1. BAZARAA M. S., JARVIS J. J., SHERALI H. D., Linear Programming And Network Flows Second Edition ,John Wiley & Sons, Inc., New York,1987.
2. TAHA H. A., Yöneylem Araştırması , 6. Basımdan Çeviri, Literatür Yayınyıcılık, Istanbul, 2000.
3. TULUNAY Y., Matematik Programlama ve Işletme Uygulamaları , 3. Baskı, Istanbul, 1991
4. KARA I.,, Doğrusal Programlama , Bilim Teknik Yayınevi, Ankara, 2000
5. ÖZTÜRK, A., Yöneylem Araştırması , Genişletilmiş 7. Baskı, Ekin Kitabevi, Bursa, 2001
6. PARK, C., S., Contemporary Engineering Economics, Prentice Hall, 2002.
7. WHITE., J. A., AGEE, M. H., Principles of Engineering Economic Analysis , John Wiley&Soons, USA, 1989

Planned Learning Activities and Teaching Methods

Course presentation, students will make presentations and classroom discussion

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 ASG ASSIGNMENT
2 FIN FINAL EXAM
3 FCG FINAL COURSE GRADE ASG * 0.50 + FIN * 0.50
4 RST RESIT
5 FCGR FINAL COURSE GRADE (RESIT) ASG * 0.50 + RST * 0.50


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

Further Notes About Assessment Methods

None

Assessment Criteria

To be announced.

Language of Instruction

Turkish

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

Associate Professor Bayram KAHRAMAN
Phone : +90 232 301 75 21

Office Hours

Monday- Wednesday: 02:30-03:00 pm.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 14 2 28
Preparations before/after weekly lectures 14 1 14
Preparing assignments 2 18 36
Preparing presentations 2 15 30
Preparation for final exam 0 0 0
Midterm 0 0 0
Final 0 0 0
TOTAL WORKLOAD (hours) 108

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11
LO.124444255435
LO.212443244335
LO.322335425335
LO.422222222225
LO.522322253345

CONTACT INFORMATION
Dokuz Eylül Üniversitesi Cumhuriyet Bulvarı No: 144 35210 Alsancak / İZMİR
Phone: +90(232) 412 12 12 - Fax: +90 (232) 464 81 35

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