COURSE UNIT TITLE

: STATISTICAL QUALITY CONTROL

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
STA 5071 STATISTICAL QUALITY CONTROL ELECTIVE 3 0 0 7

Offered By

Graduate School of Natural and Applied Sciences

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

ASSOCIATE PROFESSOR ALI RIZA FIRUZAN

Offered to

Statistics
STATISTICS

Course Objective

The first objective of this course is to cover an intermediate level of Statistical Process Control, Process Capability and Acceptance Sampling. The second objective is to describe the statistical basis of control charts and to discuss and illustrate some practical issues in the implementation of SPC. The last objective is to teach the effective alternatives to the Shewart control chart may be used when small process shifts are of interest.

Learning Outcomes of the Course Unit

1   Understanding basic elements of Control Charts
2   Understanding theoretical background of Statistical Process
3   Choosing the appropriate Control Charts
4   Obtaining Process Capability parameter estimations using appropriate techniques
5   Understanding theoretical background of Acceptance Sampling.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Statistical Basis of the Control Charts
2 Implementing SPC
3 Control Charts for Variables
4 Application of Variables Control Chart
5 The Control Charts for Fraction Nonconforming, Preparing Individual Assignments
6 Control Charts for Nonconformities (Defects)
7 Guidelines for Implementing Control Charts
8 Process Capability Analysis Using a Control Chart
9 Gage and Measurement System Capability, Preparing Individual Assignments
10 The Cumulative Sum Control Chart
11 The Moving Average Control Chart
12 Acceptance Sampling for Attributes
13 Acceptance Sampling by Variables
14 Other Acceptance Sampling Techniques

Recomended or Required Reading

Douglas C. Montgomery, Introduction to Statistical Quality Control,6th Edition, John Wiley and Sons, New York, 2009

Planned Learning Activities and Teaching Methods

Lecture, Homeworks, Presentation

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 ASG ASSIGNMENT
3 FIN FINAL EXAM
4 FCG FINAL COURSE GRADE MTE * 0.30 +ASG * 0.20 +FIN * 0.50
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.30 + ASG * 0.20 + RST * 0.50


Further Notes About Assessment Methods

None

Assessment Criteria

Evaluation of homework assignments, presentation, class participation and examinations.

Language of Instruction

English

Course Policies and Rules

Attendance to at least 70% for the lectures is an essential requirement of this course and is the responsibility of the student. It is necessary that attendance to the lecture and homework delivery must be on time. Any unethical behavior that occurs either in presentations or in exams will be dealt with as outlined in school policy. You can find the undergraduate policy at http://web.deu.edu.tr/fen

Contact Details for the Lecturer(s)

DEU Fen Fakültesi Istatistik Bölümü
e-mail: aliriza.firuzan@deu.edu.tr
Tel: 0232 301 85 55

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 14 3 42
Preparations before/after weekly lectures 14 2 28
Preparation for midterm exam 1 24 24
Preparing assignments 2 20 40
Preparation for final exam 1 45 45
Preparing presentations
Final 1 2 2
Midterm 1 2 2
TOTAL WORKLOAD (hours) 183

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10
LO.155555
LO.25555
LO.3555555
LO.455544
LO.5555555