SOFTWARE 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) | Be able to specify functional and non-functional attributes of software projects, processes and products. | |
2) | Be able to design software architecture, components, interfaces and subcomponents of a system for complex engineering problems. | |
3) | Be able to develop a complex software system with in terms of code development, verification, testing and debugging. | |
4) | Be able to verify software by testing its program behavior through expected results for a complex engineering problem. | |
5) | Be able to maintain a complex software system due to working environment changes, new user demands and software errors that occur during operation. | |
6) | Be able to monitor and control changes in the complex software system, to integrate the software with other systems, and to plan and manage new releases systematically. | |
7) | Be able to identify, evaluate, measure, manage and apply complex software system life cycle processes in software development by working within and interdisciplinary teams. | |
8) | Be able to use various tools and methods to collect software requirements, design, develop, test and maintain software under realistic constraints and conditions in complex engineering problems. | |
9) | Be able to define basic quality metrics, apply software life cycle processes, measure software quality, identify quality model characteristics, apply standards and be able to use them to analyze, design, develop, verify and test complex software system. | |
10) | Be able to gain technical information about other disciplines such as sustainable development that have common boundaries with software engineering such as mathematics, science, computer engineering, industrial engineering, systems engineering, economics, management and be able to create innovative ideas in entrepreneurship activities. | |
11) | Be able to grasp software engineering culture and concept of ethics and have the basic information of applying them in the software engineering and learn and successfully apply necessary technical skills through professional life. | |
12) | Be able to write active reports using foreign languages and Turkish, understand written reports, prepare design and production reports, make effective presentations, give clear and understandable instructions. | |
13) | Be able to have knowledge about the effects of engineering applications on health, environment and security in universal and societal dimensions and the problems of engineering in the era and the legal consequences of engineering solutions. |