Ders Bilgileri

#### Ders Tanımı

Ders Kodu Yarıyıl T+U Saat Kredi AKTS
QUEUEING THEORY ENM 475 7 3 + 0 3 5
 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 waiting-line 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 non-exponential distribution, priority-discipline queueing models, queueing networks, practice of queueing theory.
 Dersin Öğrenme Çıktıları Öğretim Yöntemleri Ölçme Yöntemleri 1 - How to analysis waiting-line 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:Question-Answer 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.

#### 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 multi-discipline 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 life-long learning and having known significance of continuous education beyond undergraduate studies for science and technology X
9 Engineering graduates with well-structured 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 off-the-classroom study (Pre-study, practice) 16 3 48
Mid-terms 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
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