Course Name Code Semester T+U Hours Credit ECTS
Quality Management ENM 322 6 3 + 0 3 5
Precondition Courses
Recommended Optional Courses
Course Language Turkish
Course Level Bachelor's Degree
Course Type Compulsory
Course Coordinator Prof.Dr. SEMRA BORAN
Course Lecturers Prof.Dr. SEMRA BORAN, Doç.Dr. ESRA TEKEZ, Dr.Öğr.Üyesi MERVE CENGİZ TOKLU,
Course Assistants
Course Category
Course Objective To teach students examining measurement data to provide product/service quality and prepare them as applicants.
Course Content Quality and relavant terms, quality systems, probability distributions, statistical process control, control charts, acceptance sampling, design of experiment, Taguchi method
# Course Learning Outcomes Teaching Methods Assessment Methods
1 Comprehending quality and quality relevant terms Lecture, Question-Answer, Testing,
2 Comprehending the necessityy quality and its relationship with profitability, productivity and cycle time Lecture, Discussion, Testing,
3 Ability to comment on the difference between Inspection and preventing failure approach Lecture, Discussion, Homework,
4 Ability to comment on variability and quality Lecture, Problem Solving, Homework,
5 Ability of statistical evaluation of measurement data Lecture, Discussion, Homework,
6 Ability to define statistical process control Lecture, Question-Answer, Homework,
7 Comprehending structure of control chart, its usability and kinds Lecture, Case Study, Problem Solving, Homework,
8 Ability to form the structure of control chart to monitor process Case Study, Problem Solving, Testing,
9 Ability of using sampling planning and selecting suitable one Case Study, Problem Solving, Testing,
10 Ability to comment on experiment results and design of experiment tecqniques, Taguchi method Question-Answer, Drilland Practice, Homework,
Week Course Topics Preliminary Preparation
1 Quality and relevant definition, quality systems, total quality management
2 statistical models anad statistical inference
3 Process improvement methods
4 The form of control charts and the way functions
5 Control charts by variables (x and R, x and s)
6 Control charts by variables (MR, Median and R)
7 Control charts by attributes (p and np)
8 Control charts by attributes (c and u)
9 Special control charts and process capability analysis
10 Acceptance sampling and attributes acceptance sampling (single and double acceptance sampling planning)
11 Attributes acceptance sampling (multiple and sequential acceptance sampling planning) and variables acceptance sampling (k and M methods)
12 Special acceptance sampling planning
13 Design of experiment
14 Taguchi methods
Resources
Course Notes
Course Resources
Order Program Outcomes Level of Contribution
1 2 3 4 5
1 Engineering graduates with sufficient knowledge background on science and engineering subjects of their related area, and who are skillful in implementing theoretical and practical knowledge for modelling and solving engineering problems. X
2 Engineering graduates with skills in identifying, describing, formulating and solving complex engineering problems, and thus,deciding and implementing appropriate methods for analyzing and modelling. X
3 Engineering graduates with skills in designing a complex system, process, device or product under realistic constraints and conditions to meet specific requirements; for this purpose, skills in implementing modern design methods. X
4 Engineering graduates with skills in developing, selecting and implementing modern techniques and tools required for engineering applications as well as with skills in using information technologies effectively.
5 Engineering graduates with skills in designing and conducting experiments, collecting data, analyzing and interpreting the results in order to evaluate engineering problems.
6 Engineering graduates who are able to work within a one discipline or multi-discipline team,as well as who are able to work individually
7 Engineering graduates who are able to effectively communicate orally and officially in Turkish Language as well as who knows at least one foreign language
8 Engineering graduates with motivation to life-long learning and having known significance of continuous education beyond undergraduate studies for science and technology
9 Engineering graduates with well-structured responsibilities in profession and ethics
10 Engineering graduates having knowledge about practices in professional life such as project management, risk management and change management, and who are aware of innovation and sustainable development.
11 Engineering graduates having knowledge about universal and social effects of engineering applications on health, environment and safety, as well as having awareness for juridical consequences of engineering solutions.
Evaluation System
Semester Studies Contribution Rate
1. Kısa Sınav 10
2. Kısa Sınav 10
1. Ödev 10
1. Ara Sınav 70
Total 100
1. Final 60
1. Yıl İçinin Başarıya 40
Total 100
ECTS - Workload Activity Quantity Time (Hours) Total Workload (Hours)
Course Duration (Including the exam week: 16x Total course hours) 16 3 48
Hours for off-the-classroom study (Pre-study, practice) 16 3 48
Mid-terms 1 10 10
Quiz 2 5 10
Assignment 1 6 6
Final examination 1 10 10
Total Workload 132
Total Workload / 25 (Hours) 5.28
dersAKTSKredisi 5