YÖNEYLEM ARAŞTIRMASI II DERS TANITIM VE UYGULAMA BİLGİLERİ

Kodu	Dersin Adı	Yarıyıl	Süresi(T+U)	Kredisi	AKTS Kredisi
END322	YÖNEYLEM ARAŞTIRMASI II	6	4	3	7

DERS BİLGİLERİ
Dersin Öğretim Dili :	Türkçe
Dersin Düzeyi	BACHELOR'S DEGREE, TYY: + 6.Level, EQF-LLL: 6.Level, QF-EHEA: First Cycle
Dersin Türü	Zorunlu
Dersin Veriliş Şekli	-
Dersin Koordinatörü	Assist.Prof. BİNNUR GÜRÜL
Dersi Veren Öğretim Üyesi/Öğretim Görevlisi
Ders Ön Koşulu	MAT104 - LINEAR ALGEBRA

AMAÇ VE İÇERİK
Amaç:	The aim of this course is to teach students the use of Parametric Linear Programming, Integer Programming, Network Models, Decision Theory, Queuing Theory, Dynamic Programming, Goal Programming and Nonlinear Programming models and solution techniques in making resource usage decisions.
İçerik:	Parametric Linear Programming, Goal Programming, Integer Programming, Non-Linear and Quadratic Programming, Decision and Decision Theory, Network Analysis, Dynamic Programming, Markow Chain and Analysis, Queuing Theory.

DERSİN ÖĞRENME ÇIKTILARI (Öğrenciler, bu dersi başarı ile tamamladıklarında aşağıda belirtilen bilgi, beceri ve/veya yetkinlikleri gösterirler.)
Describes linear and nonlinear programming techniques.
It solves the Integer, Dynamic Programming etc. models it encounters.
Optimizes models.
Analyzes real life problems using appropriate methods.
Evaluates the results of established programming models.

HAFTALIK DERS KONULARI VE ÖNGÖRÜLEN HAZIRLIK ÇALIŞMALARI
Hafta	Ön Hazırlık	Konular	Yöntem
1	Written Sources	Parametric Linear Programming	Verbal lecture
2	Written Sources	Integer Linear Programming	Verbal lecture
3	Written Sources	Goal Programming, Dynamic Programming	Verbal lecture
4	Written Sources	Network Analytics (CPM, PERT) I	Verbal lecture
5	Written Sources	Network Analysis (Shortest Path Algorithms) II	Verbal lecture
6	Written Sources	Network Analysis (Shortest Path Algorithms) III	Verbal lecture
7	Written Sources	Nonlinear (Quadratic) Programming I	Verbal lecture
8	-	MID-TERM EXAM	-
9	Written Sources	Nonlinear Programming I	Verbal lecture
10	Written Sources	Game Theory	Verbal lecture
11	Written Sources	Queuing Theory	Verbal lecture
12	Written Sources	Markov Chain and Analysis	Verbal lecture
13	Written Sources	Heuristic Algorithms I	Verbal lecture
14	Written Sources	Heuristic Algorithms II	Verbal lecture
15	Written Sources	Heuristic Algorithms I	Verbal lecture
16	-	FINAL EXAM	-
17	-	FINAL EXAM	-

KAYNAKLAR
Wayne, W., 1990, Operations Research Applications and Algorithms, PWSKent Publishing Company, Boston
Taha H.; A., 1997, Operations Research an Introduction (Translation by Alp Baray, Esnaf Ş.), Literatür Yayıncılık, 2017 (9th Edition), Istanbul
Ozturk A., 2016, Operations Research, Ekin Publishing, 6th Edition, Bursa

ÖLÇME VE DEĞERLENDİRME
Yarıyıl İçi Yapılan Çalışmaların Ölçme ve Değerlendirmesi	Etkinlik Sayısı	Katkı Yüzdesi	Açıklama

(0) Etkisiz	(1) En Düşük	(2) Düşük	(3) Orta	(4) İyi	(5) Çok İyi
0	1	2	3	4	5

KNOWLEDGE
Theoretical
	Program Yeterlilikleri/Çıktıları	Katkı Düzeyi
		0	1	2	3	4	5
1	Gain sufficient knowledge in Mathematics, Science and Industrial Engineering.			2

KNOWLEDGE
Factual
	Program Yeterlilikleri/Çıktıları	Katkı Düzeyi
		0	1	2	3	4	5
1	Analyzes and evaluates existing application areas in the field of Industrial Engineering and develops applications for their solutions.						5

SKILLS
Cognitive
	Program Yeterlilikleri/Çıktıları	Katkı Düzeyi
		0	1	2	3	4	5
1	Analyzes a system, the components of that system, the process of that system, and designs the system by examining it in line with realistic constraints and goals.					4
2	Gains the ability to model and solve engineering problems.						5

SKILLS
Practical
	Program Yeterlilikleri/Çıktıları	Katkı Düzeyi
		0	1	2	3	4	5
1	Identifies the problems that may be encountered in the field of industrial engineering and acquires the ability to choose and apply the appropriate method to be used in problem solving.						5
2	Selects and uses technical tools necessary for industrial engineering applications; uses information technologies effectively.						5
3	Designs experiments, conducts experiments, collects data, analyzes and interprets the results to examine problems in the field of industrial engineering.					4

OCCUPATIONAL
Autonomy & Responsibility
	Program Yeterlilikleri/Çıktıları	Katkı Düzeyi
		0	1	2	3	4	5
1	Gains the ability to work effectively within a team.		1
2	Works effectively individually and takes responsibility.				3

OCCUPATIONAL
Learning to Learn
	Program Yeterlilikleri/Çıktıları	Katkı Düzeyi
		0	1	2	3	4	5
1	Accesses the necessary information for a determined problem and searches for resources for this purpose.					4
2	Has the ability to follow all developments in the field of industrial engineering and constantly renew itself.					4

OCCUPATIONAL
Communication & Social
	Program Yeterlilikleri/Çıktıları	Katkı Düzeyi
		0	1	2	3	4	5
1	Gains oral and written communication skills and speaks at least one foreign language.			2

OCCUPATIONAL
Occupational and/or Vocational
	Program Yeterlilikleri/Çıktıları	Katkı Düzeyi
		0	1	2	3	4	5
1	Has awareness of professional and ethical responsibility.				3
2	Has knowledge about the universal and social effects of industrial engineering applications and reaches solutions by being aware of the importance of an innovative approach in solving engineering problems.			2

DERSİN İŞ YÜKÜ VE AKTS KREDİSİ
Öğrenme-Öğretme Etkinlikleri İş Yükü
Öğrenme-Öğretme Etkinlikleri	Etkinlik(hafta sayısı)	Süresi(saat sayısı)	Toplam İş Yükü
Lecture & In-Class Activities	14	4	56
Preliminary & Further Study	14	4	56
Land Surveying	0	0	0
Group Work	1	10	10
Laboratory	5	1	5
Reading	0	0	0
Assignment (Homework)	1	20	20
Project Work	0	0	0
Seminar	0	0	0
Internship	0	0	0
Technical Visit	0	0	0
Web Based Learning	0	0	0
Implementation/Application/Practice	0	0	0
Practice at a workplace	0	0	0
Occupational Activity	0	0	0
Social Activity	0	0	0
Thesis Work	0	0	0
Field Study	0	0	0
Report Writing	2	3	6
Final Exam	1	1	1
Preparation for the Final Exam	1	10	10
Mid-Term Exam	1	1	1
Preparation for the Mid-Term Exam	1	10	10
Short Exam	0	0	0
Preparation for the Short Exam	0	0	0
TOTAL	41	0	175