Nevşehir Hacı Bektaş Veli University Course Catalogue

Information Of Programmes

FACULTY OF ENGINEERING & ARCHITECTURE / EEM-205 - ELECTRICAL AND ELECTRONICS ENGINEERING

Code: EEM-205 Course Title: COMPUTER AIDED ANALYSIS IN EEE Theoretical+Practice: 2+2 ECTS: 4
Year/Semester of Study 2 / Fall Semester
Level of Course 1st Cycle Degree Programme
Type of Course Compulsory
Department ELECTRICAL AND ELECTRONICS ENGINEERING
Pre-requisities and Co-requisites None
Mode of Delivery Face to Face
Teaching Period 14 Weeks
Name of Lecturer ŞAKİR ŞİMŞİR (sakirsimsir@nevsehir.edu.tr)
Name of Lecturer(s)
Language of Instruction Turkish
Work Placement(s) None
Objectives of the Course
Teaching numerical analysis methods, providing the ability to model the related methods using computer programming languages, demonstrating that various problems can be solved in a much shorter time and in an effective way thanks to the modeling in question.

Learning Outcomes PO MME
The students who succeeded in this course:
LO-1 Knows why the numerical analysis methods are needed PO-1 Mathematics, science and engineering information to gain the practical skills.
PO-2 Ability to identify engineering problems, modelling, formulate and improve the ability to solve.
 		Examination
LO-2 Knows computer programming language PO-1 Mathematics, science and engineering information to gain the practical skills.
PO-2 Ability to identify engineering problems, modelling, formulate and improve the ability to solve.
PO-3 In such a way that those who want to design a system or process.
PO-4 Individual and/or in groups to gain the ability to work.
PO-11 The techniques required for engineering applications, methods and improve the ability to use modern tools.
 		Examination
LO-3 Can solve both linear equation systems and nonlinear equations using numerical methods PO-1 Mathematics, science and engineering information to gain the practical skills.
PO-2 Ability to identify engineering problems, modelling, formulate and improve the ability to solve.
PO-4 Individual and/or in groups to gain the ability to work.
PO-11 The techniques required for engineering applications, methods and improve the ability to use modern tools.
 		Examination
LO-4 Can model any numerical analysis method in a computer environment using computer programming language PO-1 Mathematics, science and engineering information to gain the practical skills.
PO-2 Ability to identify engineering problems, modelling, formulate and improve the ability to solve.
PO-3 In such a way that those who want to design a system or process.
PO-4 Individual and/or in groups to gain the ability to work.
PO-11 The techniques required for engineering applications, methods and improve the ability to use modern tools.
 		Examination
PO: Programme Outcomes
MME:Method of measurement & Evaluation

Course Contents
First of all, a general information about numerical analysis will be given. Before moving on to the explanation of numerical analysis methods, computer programming language will first be taught in order to provide the ability to model each method in a computer environment. After completing the coding training, an introduction to numerical analysis will be made with the topic of errors in numerical methods. Afterwards, Bisection, Regula Falsi, Fixed Point Iteration, Newton-Raphson and Secant methods used in solving nonlinear equations will be explained. Then, Cramer, Gauss elimination, LU, Jacobi iteration and Gauss-Seidel methods developed for solving linear equation systems will be covered. Apart from this, numerical differentiation, numerical integration, interpolation and curve fitting topics will be handled.
Weekly Course Content
Week Subject Learning Activities and Teaching Methods
1 Introduction to numerical analysis Lecture, question and answer, discussion
2 Teaching of programming language Lecture, question and answer, discussion
3 Teaching of programming language Lecture, question and answer, discussion
4 Teaching of programming language Lecture, question and answer, discussion
5 Teaching of programming language Lecture, question and answer, discussion
6 Errors in numerical analysis, rounding errors, truncation errors, error definitions Lecture, question and answer, discussion
7 Finding the roots of equations, Bisection method, Regula Falsi method Lecture, question and answer, discussion
8 mid-term exam
9 Fixed point iteration method, Newton-Raphson method Lecture, question and answer, discussion
10 Secant method, solution of linear equation systems, Cramer method Lecture, question and answer, discussion
11 Gaussian elimination method, LU method Lecture, question and answer, discussion
12 Jacobi iteration method, Gauss-Seidel method Lecture, question and answer, discussion
13 Numerical differentiation Lecture, question and answer, discussion
14 Numerical integration Lecture, question and answer, discussion
15 Interpolation, curve fitting Lecture, question and answer, discussion
16 final exam
Recommend Course Book / Supplementary Book/Reading
1 Nurhan Karaboğa, Sayısal Yöntemler ve MATLAB Uygulamaları
2 İrfan Karagöz, Sayısal Analiz ve Mühendislik Uygulamaları
3 Deniz Dal, MATLAB ile Programlama
4 Cemalettin Kubat, MATLAB-Yapay Zeka ve Mühendislik
Required Course instruments and materials
Course book, laptop computer, projector

Assessment Methods
Type of Assessment Week Hours Weight(%)
mid-term exam 8 2 40
Other assessment methods
1.Oral Examination
2.Quiz
3.Laboratory exam
4.Presentation
5.Report
6.Workshop
7.Performance Project
8.Term Paper
9.Project
final exam 16 2 60

Student Work Load
Type of Work Weekly Hours Number of Weeks Work Load
Weekly Course Hours (Theoretical+Practice) 4 14 56
Outside Class
       a) Reading 2 8 16
       b) Search in internet/Library 2 8 16
       c) Performance Project 0
       d) Prepare a workshop/Presentation/Report 0
       e) Term paper/Project 0
Oral Examination 0
Quiz 0
Laboratory exam 0
Own study for mid-term exam 2 7 14
mid-term exam 2 1 2
Own study for final exam 2 7 14
final exam 2 1 2
0
0
Total work load; 120