ISM5212 Quality ManagementBahçeşehir UniversityDegree Programs ENERGY SYSTEMS ENGINEERINGGeneral Information For StudentsDiploma SupplementErasmus Policy StatementNational QualificationsBologna Commission
Bachelor TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF-LLL: Level 6

Course Introduction and Application Information

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.

Basic information

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.

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


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 4 % 10
Project 1 % 20
Midterms 1 % 30
Final 1 % 40
Total % 100
Total % 100

ECTS / Workload Table

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

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) Build up a body of knowledge in mathematics, science and Energy Systems Engineering subjects; use theoretical and applied information in these areas to model and solve complex engineering problems.
2) Ability to identify, formulate, and solve complex Energy Systems Engineering problems; select and apply proper modeling and analysis methods for this purpose.
3) Ability to design complex Energy systems, processes, devices or products under realistic constraints and conditions, in such a way as to meet the desired result; apply modern design methods for this purpose.
4) Ability to devise, select, and use modern techniques and tools needed for solving complex problems in Energy Systems Engineering practice; employ information technologies effectively.
5) Ability to design and conduct numerical or pysical experiments, collect data, analyze and interpret results for investigating the complex problems specific to Energy Systems Engineering.
6) Ability to cooperate efficiently in intra-disciplinary and multi-disciplinary teams; and show self-reliance when working on Energy Systems-related problems
7) Ability to communicate effectively in English and Turkish (if he/she is a Turkish citizen), both orally and in writing. Write and understand reports, prepare design and production reports, deliver effective presentations, give and receive clear and understandable instructions.
8) Recognize the need for life-long learning; show ability to access information, to follow developments in science and technology, and to continuously educate oneself.
9) Develop an awareness of professional and ethical responsibility, and behave accordingly. Be informed about the standards used in Energy Systems Engineering applications.
10) Learn about business life practices such as project management, risk management, and change management; develop an awareness of entrepreneurship, innovation, and sustainable development.
11) Acquire knowledge about the effects of practices of Energys Systems Engineering on health, environment, security in universal and social scope, and the contemporary problems of Energys Systems engineering; is aware of the legal consequences of Energys Systems engineering solutions.