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Ders Tanımı

Ders Kodu Yarıyıl T+U Saat Kredi AKTS
QUALITY MANAGEMENT ENM 322 6 3 + 0 3 5
Ön Koşul Dersleri
Önerilen Seçmeli Dersler
Dersin Dili Türkçe
Dersin Seviyesi Lisans
Dersin Türü ZORUNLU
Dersin Koordinatörü Doç.Dr. SEMRA BORAN
Dersi Verenler
Dersin Yardımcıları
Dersin Kategorisi
Dersin Amacı
To teach students examining measurement data to provide product/service quality and prepare them as applicants.
Dersin İçeriği
Quality and relavant terms, quality systems, probability distributions, statistical process control, control charts, acceptance sampling, design of experiment, Taguchi method
Dersin Öğrenme Çıktıları Öğretim Yöntemleri Ölçme Yöntemleri
1 - Comprehending quality and quality relevant terms 1 - 2 - A -
2 - Comprehending the necessityy quality and its relationship with profitability, productivity and cycle time 1 - 3 - A -
3 - Ability to comment on the difference between Inspection and preventing failure approach 1 - 3 - C -
4 - Ability to comment on variability and quality 1 - 15 - C -
5 - Ability of statistical evaluation of measurement data 1 - 3 - C -
6 - Ability to define statistical process control 1 - 2 - C -
7 - Comprehending structure of control chart, its usability and kinds 1 - 12 - 15 - C -
8 - Ability to form the structure of control chart to monitor process 12 - 15 - A -
9 - Ability of using sampling planning and selecting suitable one 12 - 15 - A -
10 - Ability to comment on experiment results and design of experiment tecqniques, Taguchi method 2 - 4 - C -
Öğretim Yöntemleri: 1:Lecture 2:Question-Answer 3:Discussion 15:Problem Solving 12:Case Study 4:Drilland Practice
Ölçme Yöntemleri: A:Testing C:Homework

Ders Akışı

Hafta Konular ÖnHazırlık
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

Kaynaklar

Ders Notu
Ders Kaynakları

Döküman Paylaşımı


Dersin Program Çıktılarına Katkısı

No Program Öğrenme Çıktıları KatkıDüzeyi
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.

Değerlendirme Sistemi

YARIYIL İÇİ ÇALIŞMALARI SIRA KATKI YÜZDESİ
Odev 1 10
AraSinav 1 70
KisaSinav 1 10
KisaSinav 2 10
Toplam 100
Yıliçinin Başarıya Oranı 50
Finalin Başarıya Oranı 50
Toplam 100

AKTS - İş Yükü

Etkinlik Sayısı Süresi(Saat) Toplam İş yükü(Saat)
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
Toplam İş Yükü 132
Toplam İş Yükü /25(s) 5.28
Dersin AKTS Kredisi 5.28
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