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 216

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)

Öğr. Gör. Erim Kırca

Assistant(s)

Course Objectives
Learning Outcomes	The students who succeeded in this course; Will be able to understand basic project management approach of Six Sigma Will be able to understand how the five basic steps of Six Sigma can be used for both in the project management and process improvement Will be able to evaluate how manufacturing process can be improved by using some statistical tools Will be able to understand how hypothesis tests are used to solve real production problems Will be able to improve their problems with statistical tools by taking a process based approach
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	History of Six Sigma	Presentations
2	Six Sigma Project Management Approach	Presentations
3	DMAIC	Presentations
4	Project Chart and Definiton Tools	Presentations
5	SIPOC, VOC and VOB	Presentations
6	Group Case Study	Presentations
7	Measurement System Analysis-1	Presentations
8	Measurement System Analysis-2	Presentations
9	Hypothetical Tests	Presentations
10	Graphical Analysis	Presentations
11	Comparison of Mean Values	Presentations
12	Comparison of Proportions	Presentations
13	Regression and Correlation	Presentations
14	Statistical Process Control	Presentations
15	Group Presentation	Presentations
16	Final Exam

Course Notes/Textbooks	Pande, P. S., Neuman, R. P., & Cavanagh, R. R. (2000). The Six Sigma Way. New York: McGraw-Hill, ML, George, Rowlands D, Price M, and Maxey J. The Lean Six Sigma Pocket Toolbook. McGraw Hill Co, 2005.
Suggested Readings/Materials	Lecture PowerPoint slides,Reading materials, scientific papers and handouts.

EVALUATION SYSTEM

Semester Activities	Number	Weigthing
Participation	14	15
Laboratory / Application
Field Work
Quizzes / Studio Critiques
Portfolio
Homework / Assignments
Presentation / Jury	1	40
Project
Seminar / Workshop
Oral Exam
Midterm
Final Exam	1	45
Total

Weighting of Semester Activities on the Final Grade		55
Weighting of End-of-Semester Activities on the Final Grade		45
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	16	2
Field Work
Quizzes / Studio Critiques	1	20
Portfolio
Homework / Assignments
Presentation / Jury
Project
Seminar / Workshop
Oral Exam
Midterms	1	10
Final Exams	1	10
		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