Information Systems Engineering
Bachelor	TR-NQF-HE: Level 6	QF-EHEA: First Cycle	EQF-LLL: Level 6

Ders Genel Tanıtım Bilgileri

Course Code:

FET303

Ders İsmi:

Optimization Techniques

Ders Yarıyılı:

Fall

Ders Kredileri:

Theoretical	Practical	Laboratory	ECTS
3	0	0	5

Language of instruction:

Turkish

Ders Koşulu:

Ders İş Deneyimini Gerektiriyor mu?:

Type of course:

Bölüm Seçmeli

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 :

Öğr.Gör. REŞAT BUĞRA ERKARTAL

Course Lecturer(s):

Asst. Prof. Dr. TAYMAZ AKAN

Course Assistants:

Dersin Amaç ve İçeriği

Course Objectives:	This course aims to explain the basic concepts of optimization techniques to students in experimental way.
Course Content:	The course covers the basic concepts of optimization, data preparation, descriptive methods and predictive methods, stochastic and deterministic modeling.

Learning Outcomes

The students who have succeeded in this course;

Learning Outcomes

1 - Knowledge
Theoretical - Conceptual
1) Learns the importance of optimization methods.
2) Understands the importance of data preparation.
3) Gains the ability to comprehend deterministic methods.
4) Gains the ability to comprehend stochastic methods.
2 - Skills
Cognitive - Practical
1) Gain experience in MATLAB programming.
3 - Competences
Communication and Social Competence
Learning Competence
Field Specific Competence
Competence to Work Independently and Take Responsibility

Ders Akış Planı

Week	Subject	Related Preparation
1)	Main concepts in optimization
2)	Deterministic methods - Linear Programming
3)	Numeric methods 1 - Single Point iterations, Newton Raphson, Secant
4)	Numerical Methods 2 - Golden Section Method, Divided Difference
5)	Nonlinear Programming
6)	Nonlinear Programming 2 - Gradiant Decent
7)	MATLAB Practicies
8)	MIDTERM
9)	Integer Programming
10)	Stokastik Programming
11)	Heuristics 1 - Tabu Search
12)	Heuristics 2 - Genetic Algorithm
12)	Heuristics 2 - Genetic Algorithm
13)	Solving Approaches to main Optimization Problems - Travelling Salesman Example
14)	MATLAB Applications
15)	FINAL

Sources

Course Notes / Textbooks:	Optimizasyon Yöntemleri ve Matlab Uygulamaları- Yazar: Nurhan Karaboğa Yayınevi: Nobel Akademik Yayıncılık Ders Notları
References:

Ders - Program Öğrenme Kazanım İlişkisi

Ders Öğrenme Kazanımları	1	3	4	5	2
Program Outcomes

Ders - Öğrenme Kazanımı İlişkisi

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

Program Outcomes

Level of Contribution

Assessment & Grading

Semester Requirements	Number of Activities	Level of Contribution
Midterms	1	% 50
Final	1	% 50
total		% 100
PERCENTAGE OF SEMESTER WORK		% 50
PERCENTAGE OF FINAL WORK		% 50
total		% 100