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
ELECTIVE

Offered By

Graduate School of Natural and Applied Sciences

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

ASSISTANT PROFESSOR MELTEM ADIYAMAN

Offered to

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

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 Taylor expansion of functions
3   Will be able to find exact or approximate solution of equations.
4   Will be able to find exact or approximate solution of system of equations.
5   Will be able to find a nearest curve to a function that lies on a different space.
6   Will be able to solve Numeriacal Differentiation
7   Will be able to solve Integration

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 Stability and Taylor Theorem
3 Newton's method for non-linear systems
4 The solution of linear systems: Direct methods
5 The solution of linear systems: Error Analysis and Norms
6 The solution of linear systems: Iterative methods
7 The solution of linear systems: Algebraic Eigenvalue Problem
8 Midterm
9 Curve Fitting: The method of Least Squares
10 Curve Fitting: Interpolation
11 Numerical Differentiation
12 Numerical Integration

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 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

English

Course Policies and Rules

Attending at least 70 percent of lectures is mandatory.

Contact Details for the Lecturer(s)

sennur.somali@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 8 104
Preparation for midterm exam 1 35 35
Preparation for final exam 1 35 35
Midterm 1 3 3
Final 1 3 3
TOTAL WORKLOAD (hours) 219

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10
LO.144
LO.22
LO.343
LO.4
LO.534
LO.6
LO.7

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

HOME / ABOUT US / DEGREE PROGRAMMES / GENERAL INFORMATION FOR STUDENTS / INTERNATIONAL RELATIONS