TOROS ÜNİVERSİTESİ
Bilgi Paketi Ders Kataloğu

Course Information

QUALITY CONTROL
Code	Semester	Theoretical	Practice	National Credit	ECTS Credit
		Hour / Week
ETM511	Fall	3	0	3	6

Prerequisites and co-requisites
Language of instruction	Turkish
Type	Elective
Level of Course	Master's
Lecturer	Prof. Dr. Yusuf ZEREN
Mode of Delivery	Face to Face
Suggested Subject
Professional practise ( internship )	None
Objectives of the Course	The overall objective of this course is to investigate quality engineering and management approaches to monitor process quality and for production process design. These approaches are nominally statistical process control and management.
Contents of the Course	Quality improvement approaches, modeling process quality, Statistical Process Control(SPC), control charts for process monitoring, process and measurement system capability, acceptance sampling plans, experimental design methods for improvement process, process optimization via statistical models.

Learning Outcomes of Course

#	Learning Outcomes
1	Evaluates, interprets and applies knowledge in depth in the field of engineering and technology management, doing scientific research.
2	Has comprehensive knowledge about current methods and techniques of engineering and technology management and its limitations.
3	Has the ability of describing and applying knowledge despite limited or missing data; integrates knowledge from different disciplines into the present knowledge.
4	Designs engineering problems, develops techniques to solve them, using innovative ways.
5	Has the ability of designing and applying research based on analytical, modelling and experimental approaches and has the ability to solve problems encountered while conducting such research.
6	Works in multi-disciplinary teams, takes a leading role and responsibility and develops approaches for compicated solutions.

Course Syllabus

#	Subjects	Teaching Methods and Technics
1	Quality improvement approaches	lecturing, discussion
2	Modeling process quality	lecturing, discussion
3	Modeling process quality	lecturing, discussion
4	Statistical Process Control(SPC)	lecturing, discussion
5	Statistical Process Control(SPC)	lecturing, discussion
6	Control charts for variables	lecturing, discussion
7	Control charts for variables	lecturing, discussion
8	Midterm Exam	written exam
9	Control charts for attributes	lecturing, discussion
10	Other statistical problem solving tools	lecturing, discussion
11	Acceptance sampling plans	lecturing, discussion
12	Process and measurement system capability analysis	lecturing, discussion
13	Process designs and experimental projection methods to improve	lecturing, discussion
14	Process optimization	lecturing, discussion
15	Project presentations	presentations
16	Final Exam	written exam

Course Syllabus

#	Material / Resources	Information About Resources	Reference / Recommended Resources
1	MONTGOMERY, D. C., 2005, Introduction To Statistical Quality Control (5th edition), John Wiley& Sons, Inc.
2	CHANDRA, M. J., 2001, Statistical Quality Control, CRC Press.

Method of Assessment

#	Weight	Work Type	Work Title
1	40%	Mid-Term Exam	Mid-Term Exam
2	60%	Final Exam	Final Exam

Relationship between Learning Outcomes of Course and Program Outcomes

#	Learning Outcomes	Program Outcomes	Method of Assessment
1	Evaluates, interprets and applies knowledge in depth in the field of engineering and technology management, doing scientific research.	1	1͵2
2	Has comprehensive knowledge about current methods and techniques of engineering and technology management and its limitations.	2	1͵2
3	Has the ability of describing and applying knowledge despite limited or missing data; integrates knowledge from different disciplines into the present knowledge.	3	1͵2
4	Designs engineering problems, develops techniques to solve them, using innovative ways.	4	1͵2
5	Has the ability of designing and applying research based on analytical, modelling and experimental approaches and has the ability to solve problems encountered while conducting such research.	5	1͵2
6	Works in multi-disciplinary teams, takes a leading role and responsibility and develops approaches for compicated solutions.	7	1͵2

PS. The numbers, which are shown in the column Method of Assessment, presents the methods shown in the previous table, titled as Method of Assessment.

Work Load Details

#	Type of Work	Quantity	Time (Hour)	Work Load
1	Course Duration	14	3	42
2	Course Duration Except Class (Preliminary Study, Enhancement)	14	1	14
3	Presentation and Seminar Preparation	2	30	60
4	Web Research, Library and Archival Work	0	0	0
5	Document/Information Listing	0	0	0
6	Workshop	0	0	0
7	Preparation for Midterm Exam	1	4	4
8	Midterm Exam	1	10	10
9	Quiz	0	0	0
10	Homework	0	0	0
11	Midterm Project	0	0	0
12	Midterm Exercise	0	0	0
13	Final Project	0	0	0
14	Final Exercise	0	0	0
15	Preparation for Final Exam	1	10	10
16	Final Exam	1	10	10
				150