COURSE UNIT TITLE

: MATHEMATICAL AND NUMERICAL METHODS IN MINING

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
MDN 3316 MATHEMATICAL AND NUMERICAL METHODS IN MINING ELECTIVE 2 0 0 3

Offered By

Mining Engineering

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

ASSOCIATE PROFESSOR SÜLEYMAN ŞAFAK

Offered to

Mining Engineering
Mining Engineering

Course Objective

To teach the methods of numerical analysis for engineering education, to make calculations with Matlab, To establish mathematical models in the studies of mining engineering to solve these models with methods of numerical analysis.

Learning Outcomes of the Course Unit

1   To learn the numerical analysis and the error of calculations
2   To learn exact and approximate methods of solution of linear systems of equations
3   To find numerical solutions of nonlinear equations
4   To learn the interpolation calculations , Least squares method and curve fitting
5   To make the multivariate polynomial and functional approximation
6   To calculate the numerical differentiation and integration
7   To make applications of the mining engineering

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Basic information related to numerical analysis, error in computations
2 Systems of Linear Equations: Exact and Approximate solution methods
3 Systems of inconsistent linear equations
4 Applications of the mining engineering
5 Numerical solutions of nonlinear equations.
6 Polinomial interpolation and inverse interpolation.
7 Midterm Exam
8 Least Squares Method: Curve fitting
9 Least Squares Method: Curve fitting
10 The multivariate polynomial and functional approximation.
11 Applications of the mining engineering
12 Numerical Differentiation and integration
13 Applications of the mining engineering
14 Applications of the mining engineering

Recomended or Required Reading

1. Bulut, S.A. 2000,Sayısal Çözümleme, DEU. Müh. Yay., Izmir.

Supplementary Book(s):
1. Çatal, (Alku) S. , (2003),Sayısal Çözümleme ve Örnekler, Dokuz Eylül Üniversitesi Müh. Fak.Basım Ünitesi, Izmir.
2. 2. Johnson, L. W. and Riess, R. D., 1982, Numerical Analysis, 2nd Edition, Addison
3. Wesley, New York.
Materials: Scientific calculator, Matlab programs

Planned Learning Activities and Teaching Methods

Lectures and examples in the class.

Assessment Methods

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


Further Notes About Assessment Methods

None

Assessment Criteria

Course outcomes 1 , 2, 3 , 5 and 6 will be checked by the Mid-term exam,
Course outcomes 7 ,8,9,10 and 1-6 will be checked by the Final exam
questions.

Language of Instruction

Turkish

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

Assoc.Prof.Dr.Süleyman ŞAFAK
E-mail: suleyman.safak@deu.edu.tr
Phone: +09 232 301 75 27

Office Hours

Thursday, Time: 13:00 to 16:00

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 13 2 26
Preparations before/after weekly lectures 13 1 13
Preparation for midterm exam 1 10 10
Preparation for final exam 1 15 15
Final 1 2 2
Midterm 1 2 2
TOTAL WORKLOAD (hours) 68

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11PO.12PO.13PO.14PO.15
LO.15535555253
LO.25535555253
LO.35535555253
LO.45535555253
LO.55535555253
LO.65535555253
LO.75535555253

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

Copyright 2015 DEÜ. BİD

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