COURSE INTRODUCTION AND APPLICATION INFORMATION

se.cs.ieu.edu.tr

Course Name

Code	Semester	Theory (hour/week)	Application/Lab (hour/week)	Local Credits	ECTS
	Fall/Spring

Prerequisites

ISE 305

To succeed (To get a grade of at least DD)

Course Language

Course Type

Elective

Course Level

Mode of Delivery

Teaching Methods and Techniques of the Course

Course Coordinator

Course Lecturer(s)

Assistant(s)

Course Objectives
Learning Outcomes	The students who succeeded in this course; Will be able to explain the framework for modelling and analyzing queueing systems Will be able to define the stochastic processes that are used in the analyses of queueing systems Will be able to explain the available analytical models for queueing systems Will be able to relate a system under consideration with known queueuing models Will be able to use queueing models for performance analysis of service and production systems
Course Description

Course Category	Core Courses
	Major Area Courses
	Supportive Courses
	Media and Managment Skills Courses
	Transferable Skill Courses

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week	Subjects	Required Materials
1	Characteristics of Queueing Systems	Ch 1 D. Gross, CM. Harris, Queueing Theory, Wiley, 2009.
2	Performance Evaluation Concepts	Ch 1 D. Gross, CM. Harris, Queueing Theory, Wiley, 2009.
3	Poisson Process and Exponential Distribution	Ch 2 D. Gross, CM. Harris, Queueing Theory, Wiley, 2009.
4	Markov Chains	Ch 2 D. Gross, CM. Harris, Queueing Theory, Wiley, 2009.
5	Simple Markovian BirthDeath Queueing Models	Ch 3 D. Gross, CM. Harris, Queueing Theory, Wiley, 2009.
6	Simple Markovian BirthDeath Queueing Models	Ch 3 D. Gross, CM. Harris, Queueing Theory, Wiley, 2009.
7	Review and Midterm Exam
8	Advanced Markovian Queueing Models	Ch 4 D. Gross, CM. Harris, Queueing Theory, Wiley, 2009.
9	Advanced Markovian Queueing Models	Ch 4 D. Gross, CM. Harris, Queueing Theory, Wiley, 2009.
10	Queueing Networks	Ch 5 D. Gross, CM. Harris, Queueing Theory, Wiley, 2009.
11	Queueing Networks	Ch 5 D. Gross, CM. Harris, Queueing Theory, Wiley, 2009.
12	General Distribution Models	Ch 6 D. Gross, CM. Harris, Queueing Theory, Wiley, 2009.
13	General Distribution Models	Ch 6 D. Gross, CM. Harris, Queueing Theory, Wiley, 2009.
14	Advanced Topics	Ch 7 D. Gross, CM. Harris, Queueing Theory, Wiley, 2009.
15	General review and evaluation
16	Review of the Semester

Course Notes/Textbooks	D. Gross, CM. Harris, Queueing Theory, Wiley, 2009.
Suggested Readings/Materials

EVALUATION SYSTEM

Semester Activities	Number	Weigthing
Participation	1	%10
Laboratory / Application
Field Work
Quizzes / Studio Critiques
Portfolio
Homework / Assignments	3	%10
Presentation / Jury
Project	1	%20
Seminar / Workshop
Oral Exam
Midterm	1	%30
Final Exam	1	%30
Total

Weighting of Semester Activities on the Final Grade		%70
Weighting of End-of-Semester Activities on the Final Grade		%30
Total

ECTS / WORKLOAD TABLE

Semester Activities	Number	Duration (Hours)	Workload
Course Hours (Including exam week: 16 x total hours)	16	3	48
Laboratory / Application Hours (Including exam week: 16 x total hours)	16
Study Hours Out of Class	15	1
Field Work
Quizzes / Studio Critiques
Portfolio
Homework / Assignments	3	7
Presentation / Jury
Project	1	15
Seminar / Workshop
Oral Exam
Midterms	1	8
Final Exams	1	13
		Total	120

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

#	Program Competencies/Outcomes	* Contribution Level
#	Program Competencies/Outcomes	1	2	3	4	5
1	Be able to define problems in real life by identifying functional and nonfunctional requirements that the software is to execute
2	Be able to design and analyze software at component, subsystem, and software architecture level
3	Be able to develop software by coding, verifying, doing unit testing and debugging
4	Be able to verify software by testing its behaviour, execution conditions, and expected results
5	Be able to maintain software due to working environment changes, new user demands and the emergence of software errors that occur during operation
6	Be able to monitor and control changes in the software, the integration of software with other software systems, and plan to release software versions systematically
7	To have knowledge in the area of software requirements understanding, process planning, output specification, resource planning, risk management and quality planning
8	Be able to identify, evaluate, measure and manage changes in software development by applying software engineering processes
9	Be able to use various tools and methods to do the software requirements, design, development, testing and maintenance
10	To have knowledge of basic quality metrics, software life cycle processes, software quality, quality model characteristics, and be able to use them to develop, verify and test software
11	To have knowledge in other disciplines that have common boundaries with software engineering such as computer engineering, management, mathematics, project management, quality management, software ergonomics and systems engineering		X
12	Be able to grasp software engineering culture and concept of ethics, and have the basic information of applying them in the software engineering
13	Be able to use a foreign language to follow related field publications and communicate with colleagues				X

*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest