COMPUTER ENGINEERING
Bachelor	TR-NQF-HE: Level 6	QF-EHEA: First Cycle	EQF-LLL: Level 6

Ders Genel Tanıtım Bilgileri

Course Code:

1410221004

Ders İsmi:

Numerical Methods

Ders Yarıyılı:

Spring

Ders Kredileri:

Theoretical	Practical	Credit	ECTS
3	0	3	7

Language of instruction:

Ders Koşulu:

Ders İş Deneyimini Gerektiriyor mu?:

Type of course:

Necessary

Course Level:

Bachelor

TR-NQF-HE:6. Master`s Degree

QF-EHEA:First Cycle

EQF-LLL:6. Master`s Degree

Mode of Delivery:

Face to face

Course Coordinator :

Dr.Öğr.Üyesi Recep DURANAY

Course Lecturer(s):

Dr.Öğr.Üyesi Mutlu YILMAZ

Course Assistants:

Dersin Amaç ve İçeriği

Course Objectives:	To increase the student's ability to use computational techniques, To introduce numerical techniques and approximate expression and evaluation of data, To demonstrate the use of computers in numerical calculations, To show the solution of analytically unsolvable differential equations, uncomputable derivatives and integrals, To introduce mathematical modeling of systems.
Course Content:	Scientific computing with Matlab; Root finding; Matrix algebra; Quadrature and Interpolation; Ordinary Differential equations; Partial Differential equations

Learning Outcomes

The students who have succeeded in this course;

Learning Outcomes

1 - Knowledge
Theoretical - Conceptual
2 - Skills
Cognitive - Practical
3 - Competences
Communication and Social Competence
Learning Competence
1) select a numerical method to solve a mathematical problem which may have an intractable analytical solution
2) practice the theoritical knowledge with a scientific computing tool such as Matlab
Field Specific Competence
1) Students who successfully complete this course; finds an approximate computer method for solving a mathematical problem which often has no analytical solution
2) become acquaint with numerical methods for fundamental mathematics problems such as root finding
Competence to Work Independently and Take Responsibility

Ders Akış Planı

Week	Subject	Related Preparation
1)	Scientific Computing - I	text book and Jeffrey R. Chasnov's "Numerical Methods for Engineers" corsera notes
2)	Scientific Computing - II	text book and Jeffrey R. Chasnov's "Numerical Methods for Engineers" corsera notes
3)	Root Finding - I	text book and Jeffrey R. Chasnov's "Numerical Methods for Engineers" corsera notes
4)	Root Finding - II	text book and Jeffrey R. Chasnov's "Numerical Methods for Engineers" corsera notes
5)	Matrix Algebra - I	text book and Jeffrey R. Chasnov's "Numerical Methods for Engineers" corsera notes
6)	Matrix Algebra - II	text book and Jeffrey R. Chasnov's "Numerical Methods for Engineers" corsera notes
7)	Quadrature and Interpolation - I	text book and Jeffrey R. Chasnov's "Numerical Methods for Engineers" corsera notes
8)	Midterm	text book and Jeffrey R. Chasnov's "Numerical Methods for Engineers" corsera notes
9)	Quadrature and Interpolation - II	text book and Jeffrey R. Chasnov's "Numerical Methods for Engineers" corsera notes
10)	Ordinary Differential Equations - I	text book and Jeffrey R. Chasnov's "Numerical Methods for Engineers" corsera notes
11)	Ordinary Differential Equations - II	text book and Jeffrey R. Chasnov's "Numerical Methods for Engineers" corsera notes
12)	Partial Differential Equations - I	text book and Jeffrey R. Chasnov's "Numerical Methods for Engineers" corsera notes
13)	Partial Differential Equations - II	text book and Jeffrey R. Chasnov's "Numerical Methods for Engineers" corsera notes
14)	Partial Differential Equations -III	text book and Jeffrey R. Chasnov's "Numerical Methods for Engineers" corsera notes
15)	Review	text book and Jeffrey R. Chasnov's "Numerical Methods for Engineers" corsera notes
16)	Final	text book and Jeffrey R. Chasnov's "Numerical Methods for Engineers" corsera notes

Sources

Course Notes / Textbooks:	1) Numerical Methods for Engineers by Jeffrey R. Chasnov (Lecture Notes for coursera) 2) Numerical Methods for Engineers by Steven C. Chapra and Raymand P. Canale, 8/e, McGraw Hill
References:	1) Numerical Methods for Engineers by Jeffrey R. Chasnov (Lecture Notes for coursera) 2) Numerical Methods for Engineers by Steven C. Chapra and Raymand P. Canale, 8/e, McGraw Hill

Ders - Program Öğrenme Kazanım İlişkisi

Ders Öğrenme Kazanımları	1	3	2	4
Program Outcomes
1) PO 1.1) Sufficient knowledge in mathematics, science and computer engineering
2) PO 1.2) Ability to apply theoretical and applied knowledge in mathematics, science and computer engineering for modeling and solving engineering problems.
3) PO 2.1) Identifying complex engineering problems
4) PO 2.2) Defining complex engineering problems
5) PO 2.3) Formulating complex engineering problems
6) PO 2.4) Ability to solve complex engineering problems
7) PO 2.5) Ability to choose and apply appropriate analysis and modeling methods
8) PO 3.1) Ability to design a complex system, process, device or product to meet specific requirements under realistic constraints and conditions.
9) PO 3.2) Ability to apply modern design methods under realistic constraints and conditions for a complex system, process, device or product
10) PO 4.1) Developing modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering applications
11) PO 4.2) Ability to select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering applications
12) PO 4.3) Ability to use information technologies effectively.
13) PO 5.1) Examination of complex engineering problems or discipline-specific research topics, designing experiments
14) PO 5.2) Examination of complex engineering problems or discipline-specific research topics, experimentation
15) PO 5.3 ) Analysis of complex engineering problems or discipline-specific research topics, data collection
16) PO 5.4) Analyzing the results of complex engineering problems or discipline-specific research topics
17) PO 5.5) Examining and interpreting complex engineering problems or discipline-specific research topics

Ders - Öğrenme Kazanımı İlişkisi

No Effect	1 Lowest	2 Low	3 Average	4 High	5 Highest

	Program Outcomes	Level of Contribution
1)	PO 1.1) Sufficient knowledge in mathematics, science and computer engineering
2)	PO 1.2) Ability to apply theoretical and applied knowledge in mathematics, science and computer engineering for modeling and solving engineering problems.
3)	PO 2.1) Identifying complex engineering problems
4)	PO 2.2) Defining complex engineering problems
5)	PO 2.3) Formulating complex engineering problems
6)	PO 2.4) Ability to solve complex engineering problems
7)	PO 2.5) Ability to choose and apply appropriate analysis and modeling methods
8)	PO 3.1) Ability to design a complex system, process, device or product to meet specific requirements under realistic constraints and conditions.
9)	PO 3.2) Ability to apply modern design methods under realistic constraints and conditions for a complex system, process, device or product
10)	PO 4.1) Developing modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering applications
11)	PO 4.2) Ability to select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering applications
12)	PO 4.3) Ability to use information technologies effectively.	5
13)	PO 5.1) Examination of complex engineering problems or discipline-specific research topics, designing experiments
14)	PO 5.2) Examination of complex engineering problems or discipline-specific research topics, experimentation
15)	PO 5.3 ) Analysis of complex engineering problems or discipline-specific research topics, data collection
16)	PO 5.4) Analyzing the results of complex engineering problems or discipline-specific research topics
17)	PO 5.5) Examining and interpreting complex engineering problems or discipline-specific research topics

Öğrenme Etkinliği ve Öğretme Yöntemleri

Course
Labs
Homework

Ölçme ve Değerlendirme Yöntemleri ve Kriterleri

Yazılı Sınav (Açık uçlu sorular, çoktan seçmeli, doğru yanlış, eşleştirme, boşluk doldurma, sıralama)
Homework
Bireysel Proje

Assessment & Grading

Semester Requirements	Number of Activities	Level of Contribution
Homework Assignments	3	% 15
Project	1	% 15
Midterms	1	% 20
Semester Final Exam	1	% 50
total		% 100
PERCENTAGE OF SEMESTER WORK		% 50
PERCENTAGE OF FINAL WORK		% 50
total		% 100

İş Yükü ve AKTS Kredisi Hesaplaması

Activities	Number of Activities	Duration (Hours)	Workload
Course Hours	14	2	28
Study Hours Out of Class	10	3	30
Homework Assignments	54	2	108
Midterms	2	10	20
Final	1	14	14
Total Workload			200