BIOENGINEERING (ENGLISH, THESIS) | |||||
Master | TR-NQF-HE: Level 7 | QF-EHEA: Second Cycle | EQF-LLL: Level 7 |
Course Code | Course Name | Semester | Theoretical | Practical | Credit | ECTS |
ENM5212 | Quality Management | Fall | 3 | 0 | 3 | 12 |
This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester. |
Language of instruction: | English |
Type of course: | Departmental Elective |
Course Level: | |
Mode of Delivery: | Face to face |
Course Coordinator : | Assoc. Prof. AHMET BEŞKESE |
Course Lecturer(s): |
Dr. Öğr. Üyesi AYŞE KAVUŞTURUCU |
Recommended Optional Program Components: | N.A. |
Course Objectives: | The aim of the course is to provide the fundamentals of quality management including statistical quality control. The course covers causes of variation, statistical process control, control charts, quality control tools and techniques. The managerial and organizational aspects of quality, total quality management (TQM), quality awards, quality assurance systems, the IS0 certification process, six-sigma and the DMAIC process are also covered. Applications with statistical software packages are also utilized. |
The students who have succeeded in this course; I. Discuss quality, quality improvement and different dimensions of quality. II. Describe the quality management philosophies of Deming, Juran, Feigenbaum and Crosby. III. Discuss TQM, six-sigma, ISO standards and quality awards. IV. Explain the steps of DMAIC. V. Recognize the chance and assignable causes of variability in a process VI. Use the basic process improvement tools of statistical process control VII. Evaluate confidence intervals for one sample and for comparing two samples VIII. Construct different types of control charts for variables IX. Analyze process capability using control charts X. Construct different types of control charts for attributes |
The course covers acceptance sampling, types of sampling plans, causes of variation, statistical process control, control charts, quality control tools and techniques. The managerial and organizational aspects of quality, total quality management (TQM), quality awards, quality assurance systems, the IS0 certification process, six-sigma and the DMAIC process are also covered. |
Week | Subject | Related Preparation |
1) | Introduction to Quality: basic definitions and historical development of quality and quality improvement | |
2) | Relation between quality and productivity, quality costs, quality management philosophies | |
3) | Management Aspects of Quality: TQM, ISO, Six-sigma | |
4) | Management Aspects of Quality: DFSS, Lean, DMAIC process | |
5) | Tools and Techniques for Quality Control and Improvement | |
6) | Statistical Inference about Product and Process Quality | |
7) | Statistical Inference about Product and Process Quality | |
8) | Midterm | |
9) | Control Charts for Variables: Xbar-R, Xbar-S, I-MR control charts | |
10) | Control Charts for Variables: CUSUM, EWMA control charts | |
11) | Process Capability Analysis using Control Charts | |
12) | Control Charts for Attributes: p, np control charts | |
13) | Control Charts for Attributes: c, u control charts | |
14) | Project presentations |
Course Notes / Textbooks: | Douglas C. Montgomery, Cheryl L. Jennings, Michele E. Pfund, 2011. Managing, Controlling, and Improving Quality, John Wiley & Sons, 1st Edition |
References: | Douglas C. Montgomery, 2009. Statistical Quality Control: A Modern Introduction, John Wiley & Sons, 6th Edition |
Semester Requirements | Number of Activities | Level of Contribution |
Homework Assignments | 2 | % 10 |
Project | 1 | % 20 |
Midterms | 1 | % 30 |
Final | 1 | % 40 |
Total | % 100 | |
PERCENTAGE OF SEMESTER WORK | % 40 | |
PERCENTAGE OF FINAL WORK | % 60 | |
Total | % 100 |
Activities | Number of Activities | Duration (Hours) | Workload |
Course Hours | 14 | 3 | 42 |
Study Hours Out of Class | 14 | 5 | 70 |
Presentations / Seminar | 1 | 25 | 25 |
Project | 1 | 40 | 40 |
Homework Assignments | 4 | 10 | 40 |
Midterms | 1 | 35 | 35 |
Final | 1 | 40 | 40 |
Total Workload | 292 |
No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
Program Outcomes | Level of Contribution | |
1) | An understanding of the advanced concepts of Mathematics (calculus, analysis, linear algebra, differential equations, statistics), Natural Sciences (physics, chemistry, biology), and Engineering Sciences (electronics, material science, mechanics, thermal and fluid systems, control, signal and image processing, microcontrollers) relevant to Biomedical Engineering. | |
2) | An ability to use at an advanced level the techniques, skills, and modern engineering tools (including software) necessary for engineering practice. | |
3) | The capability of designing and conducting advanced experiments and of analyzing and evaluating data. | |
4) | An ability to design the components of complex systems and processes under realistic constraints. | |
5) | Acquisition of the skills needed to develop products (device, system, process) which are used in diagnosis, prevention, treatment and cure of diseases. | |
6) | An ability to communicate knowledge and opinion efectively, both oral and in writing. | |
7) | An ability to assume initiative and individual resposibility, and to cooperate with team-mates from other disciplines. | |
8) | A kowledge of the current needs and problems of society, and an awareness of the social and global impact of engineering solutions. | |
9) | Assimilation of the ethics and responsibilities of the profession. | |
10) | Recognition of the importance of life-long learning, and participation therein. |