COMPUTER ENGINEERING | |||||
Bachelor | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF-LLL: Level 6 |
Course Code | Course Name | Semester | Theoretical | Practical | Credit | ECTS |
ISM5212 | 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. |
Language of instruction: | Turkish |
Type of course: | Non-Departmental Elective |
Course Level: | Bachelor’s Degree (First Cycle) |
Mode of Delivery: | Face to face |
Course Coordinator : | Assoc. Prof. AHMET BEŞKESE |
Course Lecturer(s): |
Assoc. Prof. AHMET BEŞKESE |
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 | 4 | % 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 | 2 | 28 |
Presentations / Seminar | 1 | 10 | 10 |
Project | 1 | 40 | 40 |
Homework Assignments | 4 | 10 | 40 |
Midterms | 1 | 15 | 15 |
Final | 1 | 20 | 20 |
Total Workload | 195 |
No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
Program Outcomes | Level of Contribution | |
1) | Adequate knowledge in mathematics, science and computer engineering; the ability to use theoretical and practical knowledge in these areas in complex engineering problems. | |
2) | Ability to identify, formulate, and solve complex engineering problems; ability to select and apply appropriate analysis and modeling methods for this purpose. | 2 |
3) | Ability to design a complex system, process, device or product to meet specific requirements under realistic constraints and conditions; ability to apply modern design methods for this purpose. | 3 |
4) | Ability to develop, select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in computer engineering applications; ability to use information technologies effectively. | |
5) | Ability to design, conduct experiments, collect data, analyze and interpret results for the study of complex engineering problems or computer engineering research topics. | 3 |
6) | Ability to work effectively within and multi-disciplinary teams; individual study skills. | 2 |
7) | Ability to communicate effectively in verbal and written Turkish; knowledge of at least one foreign language; ability to write active reports and understand written reports, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions. | |
8) | Awareness of the necessity of lifelong learning; ability to access information, to follow developments in science and technology and to renew continuously. | |
9) | To act in accordance with ethical principles, professional and ethical responsibility; information on the standards used in engineering applications. | |
10) | Information on business practices such as project management, risk management and change management; awareness of entrepreneurship and innovation; information about sustainable development. | |
11) | Knowledge of the effects of engineering practices on health, environment and safety in the universal and social scale and the problems of the era reflected in engineering; awareness of the legal consequences of engineering solutions. |