COURSE UNIT TITLE

: NUMERICAL AND APPROXIMATE METHODS

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
MAT 5002 NUMERICAL AND APPROXIMATE METHODS ELECTIVE 3 0 0 7

Offered By

Graduate School of Natural and Applied Sciences

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

ASISTANT PROFESSOR ÇETIN DIŞIBÜYÜK

Offered to

ENVIRONMENTAL SCIENCE
COMPUTER ENGINEERING
Computer Engineering Non-Thesis
PHYSICS
Statistics
COASTAL ENGINEERING
INDUSTRIAL ENGINEERING - NON THESIS (EVENING PROGRAM
Applied Geology
STATISTICS
MARINE GEOLOGY AND GEOPHYSICS
PHYSICAL OCEANOGRAPHY
GEOGRAPHICAL INFORMATION SYSTEMS - NON THESIS (EVENING PROGRAM)
NATURAL BUILDING STONES AND GEMSTONES
PHYSICS
Mathematics
ENVIRONMENTAL EARTH SCIENCES
Logistics Engineering (Non-Thesis-Evening)
ENVIRONMENTAL TECHNOLOGY
GEOGRAPHICAL INFORMATION SYSTEMS
Environmental Engineering
Biomedical Tehnologies (English)
Industrial Ph.D. Program In Advanced Biomedical Technologies
Economic Geology
MARINE LIVING RESOURCES
NAVAL ARCHITECTURE
Economic Geology
Computer Engineering
Mineral Processing
M.Sc. in Occupational Healty and Safety
Mining Operation
MARINE CHEMISTRY
ENVIRONMENTAL EARTH SCIENCES-NON THESIS
Geothermal Energy
Chemistry
UNDERWATER ARCHAELOGY
Computer Engineering Non-Thesis
COASTAL ZONE MANAGEMENT
Mathematics
EARTHQUAKE MANAGEMENT - NON THESIS
MARINE LIVING RESOURCES
ENVIRONMENTAL ENGINEERING
M.Sc.
INDUSTRIAL DOCTORATE DEGREE ADVANCED BIOMEDICAL TECHNOLOGIES
Geographical Information Systems (Non-Thesis)
M.Sc. Textile Engineering
COASTAL ENGINEERING
Textile Engineering
Mining Operation
EARTHQUAKE MANAGEMENT
M.Sc. Geothermal Energy (Non-Thesis-Evening)
GEOGRAPHIC INFORMATION SYSTEMS
Mineral Processing
Applied Geology
ENGINEERING MANAGEMENT- NON THESIS (EVENING PROGRAM)
ENVIRONMENTAL SCIENCES
MARINE TRANSPORTATION SYSTEMS ENGINEERING
M.Sc. in Computer Science
Chemistry
ENVIRONMENTAL TECHNOLOGY
MARINE GEOLOGY AND GEOPHYSICS
NAVAL ARCHITECTURE
MARINE CHEMISTRY
Logistics Engineering
BIOTECHNOLOGY

Course Objective

This course aims to give an introduction to numerical methods for engineering problems

Learning Outcomes of the Course Unit

1   Will be able to adopt the concept of error, converge and stability.
2   Will be able to find exact or approximate solution of equations.
3   Will be able to find exact or approximate solution of system of equations.
4   Will be able to find a nearest curve to a function that lies on a different space.
5   Will be able to solve Numeriacal Differentiation and Integration
6   Will be able to understand the algorithms for solving initial value problems or boundary value problems of ordinary differential equations.
7   Will be able to understand the algorithms for solving partial differential equations.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Computational and Mathematical Preliminaries
2 Newton's method for non-linear systems
3 The solution of linear systems: Direct methods
4 The solution of linear systems: Error Analysis and Norms
5 The solution of linear systems: Iterative methods
6 The solution of linear systems: Algebraic Eigenvalue Problem
7 Midterm
8 Curve Fitting: The method of Least Squares
9 Curve Fitting: Fourier Series and Trigonometric Polynomials
10 Numerical Solutions of ODEs: Initial Value Problems
11 Numerical Solutions of ODEs: Boundary Value Problems
12 Numerical Solutions of PDEs: Hyperbolic Equations
13 Numerical Solution of PDEs: Parabolic Equations
14 Numerical Solution of PDEs: Elliptic Equations

Recomended or Required Reading

John H. Mathews ''Numerical Methods for Mathematics, Science and Engineering''. Prentice-Hall. 1992.

Planned Learning Activities and Teaching Methods

Lecture notes, Presentation, Problem solving

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 MTE * 0.50 + RST * 0.50

Further Notes About Assessment Methods

None

Assessment Criteria

To be announced.

Language of Instruction

English

Course Policies and Rules

Attending at least 70 percent of lectures is mandatory.

Contact Details for the Lecturer(s)

meltem.adiyaman@deu.edu.tr

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 13 3 39
Preparations before/after weekly lectures 13 5 65
Preparation for midterm exam 1 25 25
Preparation for final exam 1 35 35
Midterm 1 3 3
Final 1 3 3
TOTAL WORKLOAD (hours) 170

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11PO.12PO.13
LO.13433233323312
LO.22234153545424
LO.33332323232213
LO.42455142212312
LO.52223312122113
LO.62242421242133
LO.71211234221111

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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