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 the solution of linear and non-linear equations with numerical solution methods. Error analysis, solution of linear equations and equations, solution of nonlinear equations and equations, interpolation, numerical differentiation, numerical integration, numerical solutions of ordinary differential equations.

Learning Outcomes PO MME
The students who succeeded in this course:
LO-1 Perform error analysis and solve linear equations; solve equations in a computerized environment; nonlinear solution; interpolations, derivatives and solutions; solve ordinary and partial differential equations. 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-2 Acceptance will fit the curve according to the experimental results; learn the least squares method and the finite element method 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-8 Engineering solutions to adopt the sensitivity of the impacts that universal and social dimensions.
PO-9 To adapt to innovation and emerging technologies, continuous self-renewal, and improve the ability of researchers.
PO-11 The techniques required for engineering applications, methods and improve the ability to use modern tools.
Examination
LO-3 Package programming language will be learned. PO-8 Engineering solutions to adopt the sensitivity of the impacts that universal and social dimensions.
PO-10 Experimental design and conduct experiments, analyze experimental results and ability to add to interpret.
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
Error analysis, Linear equation solutions, Linear solutions of equation sets, Iterative solution of equation sets, Solution of nonlinear equations, Numerical differentiation, Numerical integration, Solution of ordinary differential equations, Solution of ordinary differential equations, Solution of partial differential equations, Curve with least squares method matlab package program, Matlab package program, Matlab package program.
Weekly Course Content
Week Subject Learning Activities and Teaching Methods
1 Introducing package program. Lecture, question and answer, discussion
2 Introducing package program. Lecture, question and answer, discussion
3 Introducing package program. Lecture, question and answer, discussion
4 Introducing package program. Lecture, question and answer, discussion
5 Solution of nonlinear equations. Lecture, question and answer, discussion
6 Introduction to Numerical Analysis. Error concept and error analysis. Lecture, question and answer, discussion
7 Introduction to Numerical Analysis. Error concept and error analysis. Lecture, question and answer, discussion
8 mid-term exam
9 Numerical solutions of linear equation systems. Lecture, question and answer, discussion
10 Numerical solutions of linear equation systems. Lecture, question and answer, discussion
11 Numerical solutions of linear equation systems. Lecture, question and answer, discussion
12 Numerical differentiation and applications Lecture, question and answer, discussion
13 Numerical solutions of partial differential equations Lecture, question and answer, discussion
14 Numerical solutions of partial differential equations Lecture, question and answer, discussion
15 Curve fitting with least squares method Lecture, question and answer, discussion
16 final exam
Recommend Course Book / Supplementary Book/Reading
1 Sayısal Çözümleme, Prof. Dr. Sefa APINAR, Prof. Dr. Hasan KÜRÜM.
2 Sayısal Çözümleme, Ziya AKTAŞ, O.D.T.Ü.
3 Mathematical Visualization – Algoritms, Applications and Numerics, H. HEGE, K. POLTHIER, Springer-Verlag, Telos.
Required Course instruments and materials
Course book, laptop computer, projector

Assessment Methods
Type of Assessment Week Hours Weight(%)
mid-term exam 7 1 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 14 1 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 13 26
       b) Search in internet/Library 2 13 26
       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 5 1 5
mid-term exam 1 1 1
Own study for final exam 5 1 5
final exam 1 1 1
0
0
Total work load; 120