BENZETİM DERS TANITIM VE UYGULAMA BİLGİLERİ

Kodu	Dersin Adı	Yarıyıl	Süresi(T+U)	Kredisi	AKTS Kredisi
END329	BENZETİM	5	4	3	5

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	Prof.Dr. TARIK ÇAKAR
Ders Ön Koşulu	Yok

AMAÇ VE İÇERİK
Amaç:	To teach the students fundamental concepts of discrete-event simulation. A review of required probability and statistics background will be followed by the study of simulation methodology. A simulation Language, ARENA V14.70.0004, will be covered in detail, with assignments that will emphasize the capabilities of such a language.
İçerik:	Statistical Data Analysis, Monte Carlo Simulation, Develop Simulation Models, Design of Experiment with the Simulation Models, Output Analysis.

DERSİN ÖĞRENME ÇIKTILARI (Öğrenciler, bu dersi başarı ile tamamladıklarında aşağıda belirtilen bilgi, beceri ve/veya yetkinlikleri gösterirler.)
To design a system in production or service systems
System model with Monte Carlo Simulation with Excel and interpret the results
Program the dynamic system simulation in Arena and evaluate the results.
Interpret the system's performance output.
Compare alternative systems.

HAFTALIK DERS KONULARI VE ÖNGÖRÜLEN HAZIRLIK ÇALIŞMALARI
Hafta	Ön Hazırlık	Konular	Yöntem
1	-	Introduction to Modeling and Simulation	Oral Presentation
2	-	Define the Service Systems and Queue Models	Oral Presentation
3	-	Monte Carlo Simulation-Service systems	Oral Presentation
4	-	Monte Carlo Simulation- Manufacturing Systems	Oral Presentation
5	-	Monte Carlo Simulation- Manufacturing Systems	Oral Presentation
6	-	Generating Random Variates	Oral Presentation
7	-	Input Analysis- Selecting Input Probability Distribution-EXCEL	Oral Presentation and application
8	-	MID-TERM EXAM	-
9	-	Input Analysis- Selecting Input Probability Distribution-ARENA	Oral Presentation and application
10	-	Simulation Modelling (ARENA)	Oral Presentation and application
11	-	Simulation Modelling (ARENA)	Oral Presentation and application
12	-	Simulation Modelling (ARENA)	Oral Presentation and application
13	-	Compare the Alternative Systems	Oral Presentation and application
14	-	Output Data Analysis	Oral Presentation
15	-	Output Data Analysis	Oral Presentation and application
16	-	FINAL EXAM	-
17	-	FINAL EXAM	-

KAYNAKLAR
Simulation with Arena,W. D. Kelton, R. P. Sadowski, N. B. Swets, McGraw-Hill international edition, 5th ed., 2010.
Discrete Event System Simulation,J. Banks, J. S. Carson, B. L. Nelson, D. M. Nicol, Pearson Education, 3th ed., 2001

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.						5

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.						5
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.						5

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

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.			2

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.			2
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.				3

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	2	28
Preliminary & Further Study	14	2	28
Land Surveying	0	0	0
Group Work	0	0	0
Laboratory	14	2	28
Reading	0	0	0
Assignment (Homework)	2	5	10
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	0	0	0
Final Exam	1	2	2
Preparation for the Final Exam	1	8	8
Mid-Term Exam	1	2	2
Preparation for the Mid-Term Exam	1	6	6
Short Exam	2	2	4
Preparation for the Short Exam	2	3	6
TOTAL	52	0	122