COURSE UNIT TITLE

: SUMMER PRACTICE I

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
INŞ 3500 SUMMER PRACTICE I COMPULSORY 0 0 0 4

Offered By

Civil Engineering

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

PROFESSOR DOCTOR HALIT YAZICI

Offered to

Civil Engineering
Civil Engineering (Evening)

Course Objective

To give theoretical and applied numerical mathematical formulation in civil engineering according to fundamental principles of basic and engineering sciences. Solving mathematical problems using Matlab technical programing language.

Learning Outcomes of the Course Unit

1   To find the roots methods and applications
2   System solutions methods
3   To define finite difference formulas and their applications
4   Leat Squares method
5   To solve differential equations by using approximation method
6   Supporting the ability to solve the basic mathematical problems using Matlab programing language

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Introduction, Floating-point form of numbers, Round off Algorithm, Stability, Programming errors, Errors of numerical results. Introduction to Matlab Technical Programming Language and overview of the toolboxes.
2 Solution of nonlinear equations (f(x) = 0), functional iteration method. Operations in Matlab. Building Matrices and matrix manipulation techniques.
3 Bisection method, Newton s method, Secant method. Finding the roots of a function in Matlab using Newton Raphson Method.
4 Examples. Three dimensional visualization of matrices in Matlab and different visualization operations.
5 Solution of linear systems of equations, Jacobi iteration method. Solving linear equation systems using matrix operations.
6 Gauss Seidel iteration method. Writing sub programs (functions) in Matlab. Calculation of function values using sub programs.
7 Eigenvalue- eigenvectors problems, Power method. Calculation of maximum moment on a beam using Matlab derivation commands.
8 Dividede difference, Operators. Using Matlab Excel Link.
9 Interpolation, curve fitting. Fitting curves between series using Matlab commands.
10 First exam.
11 Defination and properties of finite difference, difference scheme, divided difference, Lagrange, finite and divided difference interpolation polynomials formulas. Matlab algorithm for calculating and plotting the Fibonacci Series.
12 Method of least squares. Calculating the rotation, moment, shear force and load values from recorded deformations of a beam by least square methods and derivation operations.
13 Numerical differentiation and integration (Trapezoidal rule, Simpson s rule).Calculatiing the numerical derivation and integration of functions using Matlab commands.
14 Numerical solution of ordinary differential equations, Power series method,Runge-Kutta method, Euler method, Finite difference method. Calculating and visualizing the area and volume with 2D and 3D partial numerical integration in Matlab.

Recomended or Required Reading

Textbook(s): Çatal, (Alku) S. , (2003) Sayısal Çözümleme ve Örnekler , Dokuz Eylül Üniversitesi Müh. Fak.Basım Ünitesi, Izmir.
Supplementary Book(s): Oturanç, G.; Kurnaz, A.; Kiriş, M.E. (2003) Sayısal Analiz , Dizgi Ofset Yayınları, Konya.
Uzun, I. (2000) Nümerik Analiz , Beta Yayınları, Istanbul.
References:
Materials:

Planned Learning Activities and Teaching Methods

Books, presentations and homeworks, midterm exams, final exam.

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


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

Further Notes About Assessment Methods

None

Assessment Criteria

To evaluate with midterm and final exams questions

Language of Instruction

Turkish

Course Policies and Rules

Optional, if the instructor needs to add some explanation or further note, this column can be selected from the DEBIS menu.

Contact Details for the Lecturer(s)

Prof. Dr. Seval Çatal, seval.catal@deu.edu.tr

Office Hours

To be announced.

Work Placement(s)

YES

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 14 4 56
Preparations before/after weekly lectures 14 2 28
Preparing presentations 14 1 14
Preparation for midterm exam 1 5 5
Preparation for final exam 1 5 5
Final 1 2 2
Midterm 1 2 2
TOTAL WORKLOAD (hours) 112

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11
LO.11234
LO.21234
LO.31234
LO.41234
LO.51234
LO.655

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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