FACULTY OF ENGINEERING

Department of Electrical and Electronics Engineering

EEE 213 | Course Introduction and Application Information

Course Name
Computational Methods for Engineers
Code
Semester
Theory
(hour/week)
Application/Lab
(hour/week)
Local Credits
ECTS
EEE 213
Fall
2
2
3
7

Prerequisites
None
Course Language
English
Course Type
Required
Course Level
First Cycle
Mode of Delivery -
Teaching Methods and Techniques of the Course Application: Experiment / Laboratory / Workshop
Course Coordinator
Course Lecturer(s)
Assistant(s) -
Course Objectives The main goals of EEE213 are to teach students how to solve engineering problems when no analytical solutions exist by applying computational techniques and to learn the basics of the MatLab structured programming environment. Emphasis will be placed on learning the different methods of analyzing data and preparing technical reports.
Learning Outcomes The students who succeeded in this course;
  • Explain the common numerical methods used in engineering analysis,
  • Simulate basic structured programming concepts within the matlab programming environment,
  • Apply basic methods in a structured manner using matlab’s programming language,
  • Identify the suitable numerical method when more than one option is available,
  • Analyse the accuracy of the different numerical methods
Course Description The art of mathematical modeling, introduction to Matlab, approximations and error analysis, roots of polynomials, solving linear system of equations, least square regression, interpolation, applications, technical reports.

 



Course Category

Core Courses
X
Major Area Courses
Supportive Courses
Media and Management Skills Courses
Transferable Skill Courses

 

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week Subjects Related Preparation
1 Mathematical modeling and engineering problem solving Numerical Methods for Engineers, Chapra & Canale, 6th ed., Ch.1
2 Programming and software; Technical English Numerical Methods for Engineers, Chapra & Canale, 6th ed., Ch.2
3 Introduction to MatLab Matlab Primer, Timothy A. Davis, Ch 1
4 Introduction to MatLab Matlab Primer, Timothy A. Davis, Ch 1
5 Approximations and error analysis Numerical Methods for Engineers, Chapra & Canale, 6th ed., Ch.3
6 Roots of Polynomials Numerical Methods for Engineers, Chapra & Canale, 6th ed., Ch.7
7 Case Studies: Roots of equations Numerical Methods for Engineers, Chapra & Canale, 6th ed., Ch.8
8 Solving linear algebraic equations (Gauss-Jordan) Numerical Methods for Engineers, Chapra & Canale, 6th ed., Ch.9
9 LU Decomposition and Matrix Inversion Numerical Methods for Engineers, Chapra & Canale, 6th ed., Ch.10
10 Case Studies: Linear Algebraic Equations (Electric Circuits) Numerical Methods for Engineers, Chapra & Canale, 6th ed., Ch.12
11 Least-square Regression – 1 Numerical Methods for Engineers, Chapra & Canale, 6th ed., Ch.17
12 Least-square Regression – 2 Numerical Methods for Engineers, Chapra & Canale, 6th ed., Ch.17
13 Interpolation Numerical Methods for Engineers, Chapra & Canale, 6th ed., Ch.18
14 Fourier Approximations Numerical Methods for Engineers, Chapra & Canale, 6th ed., Ch.19
15 Fourier Approximations Numerical Methods for Engineers, Chapra & Canale, 6th ed., Ch.19
16 Case Studies: Forurier Analysis (Electrical Engineering) Numerical Methods for Engineers, Chapra & Canale, 6th ed., Ch.20

 

Course Notes/Textbooks

Numerical Methods for Engineers, Steven C. Chapra & Raymond P. Canale, 6th ed., McGrawHill

Suggested Readings/Materials

Matlab Primer, 8th Ed, Timothy A. Davis, CRC, 2011. ISBN: 978-1-4398-2862-5

 

EVALUATION SYSTEM

Semester Activities Number Weigthing
Participation
Laboratory / Application
1
30
Field Work
Quizzes / Studio Critiques
Portfolio
Homework / Assignments
1
15
Presentation / Jury
Project
Seminar / Workshop
Oral Exams
Midterm
1
25
Final Exam
1
30
Total

Weighting of Semester Activities on the Final Grade
3
65
Weighting of End-of-Semester Activities on the Final Grade
1
35
Total

ECTS / WORKLOAD TABLE

Semester Activities Number Duration (Hours) Workload
Theoretical Course Hours
(Including exam week: 16 x total hours)
16
2
32
Laboratory / Application Hours
(Including exam week: '.16.' x total hours)
16
2
32
Study Hours Out of Class
16
7
112
Field Work
0
Quizzes / Studio Critiques
0
Portfolio
0
Homework / Assignments
1
5
5
Presentation / Jury
0
Project
0
Seminar / Workshop
0
Oral Exam
0
Midterms
1
10
10
Final Exam
1
20
20
    Total
211

 

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

#
Program Competencies/Outcomes
* Contribution Level
1
2
3
4
5
1

To have adequate knowledge in Mathematics, Science and Electrical and Electronics Engineering; to be able to use theoretical and applied information in these areas on complex engineering problems.

X
2

To be able to identify, define, formulate, and solve complex Electrical and Electronics Engineering problems; to be able to select and apply proper analysis and modeling methods for this purpose.

X
3

To be able to design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the requirements; to be able to apply modern design methods for this purpose.

X
4

To be able to devise, select, and use modern techniques and tools needed for analysis and solution of complex problems in Electrical and Electronics Engineering applications; uses computer and information technologies effectively.

X
5

To be able to design and conduct experiments, gather data, analyze and interpret results for investigating complex engineering problems or Electrical and Electronics Engineering research topics.

X
6

To be able to work efficiently in Electrical and Electronics Engineering disciplinary and multi-disciplinary teams; to be able to work individually.

X
7

To be able to communicate effectively in Turkish, both orally and in writing; to be able to author and comprehend written reports, to be able to prepare design and implementation reports, to present effectively, to be able to give and receive clear and comprehensible instructions.

8

To have knowledge about global and social impact of engineering practices on health, environment, and safety; to have knowledge about contemporary issues as they pertain to Electrical and Electronics Engineering; to be aware of the legal ramifications of Electrical and Electronics Engineering solutions.

9

To be aware of ethical behavior, professional and ethical responsibility; to have knowledge about standards utilized in engineering applications

X
10

To have knowledge about industrial practices such as project management, risk management, and change management; to have awareness of entrepreneurship and innovation; to have knowledge about sustainable development.

11

To be able to collect data in the area of Electrical and Electronics Engineering, and to be able to communicate with colleagues in a foreign language. ("European Language Portfolio Global Scale", Level B1)

X
12

To be able to speak a second foreign language at a medium level of fluency efficiently.

13

To recognize the need for lifelong learning; to be able to access information, to be able to stay current with developments in science and technology; to be able to relate the knowledge accumulated throughout the human history to Electrical and Electronics Engineering.

*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest

 


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