BAHÇEŞEHİR UNIVERSITY BİLGİ PAKETİ / DERS KATALOĞU
| INFORMATION TECHNOLOGIES (ENGLISH, NON-THESIS) | |||||
| Master | TR-NQF-HE: Level 7 | QF-EHEA: Second Cycle | EQF-LLL: Level 7 | ||
Course Introduction and Application Information
| Course Code | Course Name | Semester | Theoretical | Practical | Credit | ECTS |
| ENM5212 | Quality Management | Spring | 3 | 0 | 3 | 12 |
| This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester. |
Basic information
| 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): |
Assist. Prof. 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. |
Learning Outcomes
|
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 |
Course Content
| 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. |
Weekly Detailed Course Contents
| 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 |
Sources
| 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 |
Evaluation System
| 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 | |
ECTS / Workload Table
| 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 | ||
Contribution of Learning Outcomes to Programme Outcomes
| No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
| Program Outcomes | Level of Contribution | |
| 1) | Uses basic Software Engineering knowledge and competencies. | |
| 2) | Applies the software development ability that is necessary for software engineering applications. | |
| 3) | Uses data structures and applies information about algorithm development. | |
| 4) | Develops system programs on operating systems. | |
| 5) | Defines computer organization, design and architectures. | 1 |
| 6) | Creates the structure of computer networks and network security. | 1 |
| 7) | Uses business intelligence, data mining and data analysis tools, applies techniques about them. | 2 |
| 8) | Develops database applications and WEB based programs. | |
| 9) | Defines, analyzes, designs and manages information technologies projects. | 3 |
| 10) | Uses and develops technology-based environments and tools in education. | |
| 11) | Detects, identifies and solves information technology needs of the business environment. | 1 |
| 12) | Uses the capabilities of information technologies within the rules of professional responsibility and ethics. | 1 |