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	None
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 define the meaning and scope of Stochastic Models in Manufacturing in a historical context Will be able to understand important metrics that specify a system’s performance Will be able to become familiar with Queueing Networks and their applications Will be able to understand the scope of variety of queueing models such as M/M/1, M/G/1, GI/G/1 and Open and Closed Networks Will be able to analyze real life examples which aims to improve the manufacturer's productivity and efficiency through better design
Course Description

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

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week	Subjects	Required Materials
1	Introduction: Basics of Probability	3
2	Markov Chains and Processes	2
3	The M/M/1 Queue	2
4	Transfer Lines Models and Bounds	1
5	Transfer Lines Models and Bounds (Continue)	1
6	Deterministic Processing Time Transfer Line – 2 Machine	1
7	Deterministic Processing Time Transfer Line – 2 Machine (Continue)	1
8	Exponential Processing Time Transfer Line – 2 Machine	1,2,3
9	Exponential Processing Time Transfer Line – 2 Machine (Continue)	1,2,3
10	Exponential Processing Time Transfer Line – 2 Machine (Continue)	1,2,3
11	Deterministic Processing Time Transfer Line – Many Machines	1,2
12	Deterministic Processing Time Transfer Line – Long Line Optimization	1,2
13	Stochastic Long Lines	1,2
14	Stochastic Long Lines	1,2
15	Assembly – Disassembly Systems	1,2
16	Review of the Semester

Course Notes/Textbooks

The Course Material can be reached thru Course Web Pages.

Suggested Readings/Materials

Ana Ders Kitabı / Main Text Book : 1.Gershwin, Stanley B. Manufacturing Systems Engineering. Paramus NJ: Prentice Hall, 1993. ISBN: 9780135606087. or Manufacturing Systems Engineering, Stanley B. Gershwin, 2002. (gershwin@mit.edu, http://web.mit.edu/manufsys/www) Yardımcı Kitaplar / Supplementary References : 2. Stochastic Models of Manufacturing Systems, John A. Buzacott and J. George Shanthikumar, Prentice Hall, 1993. ISBN: 9780138475673 3. Production Systems Engineering, Jingshang Li and Semyon Meerkov, Springer, 2009. ISBN: 9780387755786

EVALUATION SYSTEM

Semester Activities	Number	Weigthing
Participation	1 – 15	5
Laboratory / Application
Field Work
Quizzes / Studio Critiques
Portfolio
Homework / Assignments	5	10
Presentation / Jury
Project	1	20
Seminar / Workshop
Oral Exam
Midterm	1	25
Final Exam	1	40
Total

Weighting of Semester Activities on the Final Grade		60
Weighting of End-of-Semester Activities on the Final Grade		40
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
Field Work
Quizzes / Studio Critiques
Portfolio
Homework / Assignments	5	3
Presentation / Jury
Project	1	52
Seminar / Workshop
Oral Exam
Midterms	1	2
Final Exams	1	3
		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		X
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