Ders Bilgileri
Yazdır
Ders Tanımı
Ders  Kodu  Yarıyıl  T+U Saat  Kredi  AKTS 

QUEUEING THEORY  ENM 475  7  3 + 0  3  5 
Ön Koşul Dersleri  

Önerilen Seçmeli Dersler 
Dersin Dili  Türkçe 
Dersin Seviyesi  Lisans 
Dersin Türü  SECMELI 
Dersin Koordinatörü 
Dr.Öğr.Üyesi NEVRA AKBİLEK 
Dersi Verenler  
Dersin Yardımcıları  
Dersin Kategorisi  
Dersin Amacı 
To make student familiar with advantages and usage of queueing theory techniques to solve waitingline problems

Dersin İçeriği 
Aim of the course is to teach the characteristics of waiting lines , notations and characteristics of waiting lines, the role of the exponential distribution (M/M/1 and M/M/s models), queueing models involving nonexponential distribution, prioritydiscipline queueing models, queueing networks, practice of queueing theory.

Dersin Öğrenme Çıktıları  Öğretim Yöntemleri  Ölçme Yöntemleri 
1  How to analysis waitingline systems  1  2  3  4   A  B  
2  How to use queueing notation  1  2  3  4   A  C  
3  How to model queueing systems  1  2  3  6  8  15  16   A  C  D  
4  How to simulate queueing systems  1  2  3  8  9  12  15  16   A  C  D  
5  How to write matlab code for mathematical model of system  1  3  6  8  12  15  16   A  C  D  
6  How to compare mathematical and simulation model of queueing system  1  2  3  8  12  15  16   A  C  D  
Öğretim Yöntemleri:  1:Lecture 2:QuestionAnswer 3:Discussion 4:Drilland Practice 6:Motivations to Show 8:Group Study 15:Problem Solving 16:Project Based Learning 9:Simulation 12:Case Study 
Ölçme Yöntemleri:  A:Testing B:Oral Exam C:Homework D:Project / Design 
Ders Akışı
Hafta  Konular  ÖnHazırlık 

1  Characteristics of a Queueing Model  
2  Notation and Capacity of a Queueing Model  
3  Queueing Model with Exponential Service Time (M/M/1)  
4  Queueing Model with Exponential Service Time (M/M/s)  
5  Queueing Model Involving Nonexponential Distributions(M/G/1 ve M/D/1)  
6  Variation Role in Queueing Theory  
7  M/M/s System with Limited Customer Population  
8  Serial and Network Queueing System  
9  Infinite server queueing models  
10  Exploring the Psychology of Queueing and The Effect of The Other Factors  
11  Queueing Theory Applications in Literature  
12  Evaluation of Current Literatüre Applications and Simulation of Queueing Systems  
13  Modelling a Real Problem with Queueing Theory  
14  Evaluation of the Suggested Queueing Models 
Kaynaklar 


Ders Notu  
Ders Kaynakları 
[1] Introduction to Probability, Sheldon Ross. [2] Introduction to Operation Research, Hillier Liberman. [3] Queueing Systems, Leonard Kleinrock, Richard Gail. [4] http://www.win.tue.nl/~iadan/queueing.pdf 
Döküman Paylaşımı 

Dersin Program Çıktılarına Katkısı
No  Program Öğrenme Çıktıları  KatkıDüzeyi  

1  2  3  4  5  
1  Engineering graduates with sufficient knowledge background on science and engineering subjects of their related area, and who are skillful in implementing theoretical and practical knowledge for modelling and solving engineering problems.  X  
2  Engineering graduates with skills in identifying, describing, formulating and solving complex engineering problems, and thus,deciding and implementing appropriate methods for analyzing and modelling.  X  
3  Engineering graduates with skills in designing a complex system, process, device or product under realistic constraints and conditions to meet specific requirements; for this purpose, skills in implementing modern design methods.  
4  Engineering graduates with skills in developing, selecting and implementing modern techniques and tools required for engineering applications as well as with skills in using information technologies effectively.  X  
5  Engineering graduates with skills in designing and conducting experiments, collecting data, analyzing and interpreting the results in order to evaluate engineering problems.  X  
6  Engineering graduates who are able to work within a one discipline or multidiscipline team,as well as who are able to work individually  X  
7  Engineering graduates who are able to effectively communicate orally and officially in Turkish Language as well as who knows at least one foreign language  X  
8  Engineering graduates with motivation to lifelong learning and having known significance of continuous education beyond undergraduate studies for science and technology  X  
9  Engineering graduates with wellstructured responsibilities in profession and ethics  X  
10  Engineering graduates having knowledge about practices in professional life such as project management, risk management and change management, and who are aware of innovation and sustainable development.  
11  Engineering graduates having knowledge about universal and social effects of engineering applications on health, environment and safety, as well as having awareness for juridical consequences of engineering solutions. 
Değerlendirme Sistemi
YARIYIL İÇİ ÇALIŞMALARI  SIRA  KATKI YÜZDESİ 

AraSinav  1  50 
KisaSinav  1  10 
Odev  1  15 
ProjeTasarim  1  25 
Toplam  100  
Yıliçinin Başarıya Oranı  50  
Finalin Başarıya Oranı  50  
Toplam  100 
AKTS  İş Yükü
Etkinlik  Sayısı  Süresi(Saat)  Toplam İş yükü(Saat) 

Course Duration (Including the exam week: 16x Total course hours)  16  3  48 
Hours for offtheclassroom study (Prestudy, practice)  16  3  48 
Midterms  1  2  2 
Quiz  1  2  2 
Assignment  1  4  4 
Project / Design  1  4  4 
Final examination  1  25  25 
Toplam İş Yükü  133  
Toplam İş Yükü /25(s)  5.32  
Dersin AKTS Kredisi  5.32 