COURSE UNIT TITLE

: STATISTICAL QUALITY CONTROL

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
UQM 4237 STATISTICAL QUALITY CONTROL ELECTIVE 3 0 0 5

Offered By

BUSINESS ADMINISTRATION (UOLP-SUNY ALBANY)

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

PROFESSOR DOCTOR SABRI ERDEM

Offered to

BUSINESS ADMINISTRATION (UOLP-SUNY ALBANY)

Course Objective

The aim of the course is to provide students how to trace business processes from quality perspective and bring the students in recent techniques of statistical quality control; to introduce students to new quality management
approaches and methodologies.

Learning Outcomes of the Course Unit

1   Be able to explain the significance of quality in business.
2   Have an understanding of the role of Statistical Quality Control (SQC) within broader contexts such as Total Quality Management (TQM) and Six Sigma.
3   Describe fundamental SQC tools and techniques, and discuss the circumstances under which it would be appropriate to apply each tool / technique.
4   Apply SQC tools and techniques.
5   Conduct an SQC study or project and interpret the results.
6   Demonstrate that they are a motivated, responsible, and productive citizen who will be an advocate for quality in business.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 The Meaning of Quality and Quality Improvement (Review)
2 Brief History of Quality Methodology Total Quality Management
3 Review of Related Statistics Topics In class assignments
4 Methods and Philosophy of Statistical Process Control
5 Statistical Basis of the Control Charts
6 Control Charts for Variables; Control Charts For Attributes In-class assignment
7 Cumulative-Sum (CUSUM) & Exponentially Weighted Moving Average (EWMA) Control Charts Process and Measurement system Capability Analysis (PCA)
8 Six Sigma (Basic Concepts)
9 Six Sigma In class assignment
10 Case Project Presentations
11 Case Project Presentations
12 Case Project Presentations

Recomended or Required Reading

1. Besterfield, D.H. (2009). Quality Control (8th Edition). Pearson / Prentice Hall. ISBN: 0135000955

2. Summers, D.C.S. (2010). Quality (5th Edition). Pearson / Prentice Hall. ISBN: 0131592491.

Planned Learning Activities and Teaching Methods

1. Lecture
Lectures will cover the transfer of statistical quality control techniques and methodologies.

2. Groupwork
In-class assignments, homeworks, and case projects can be handled as a groupwork so that students can review the concepts and applications by discussing together and develop solutions

3. Presentations
Case project will be presented and discussed in the last week of the semester.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MT Midterm
2 TP TermProject
3 ASS Assignment
4 FN Final
5 FCG FINAL COURSE GRADE MT * 0.30 + TP * 0.30 + ASS * 0.10 + FN * 0.30
6 RST RESIT
7 FCGR FINAL COURSE GRADE (RESIT) MT * 0.30 + TP * 0.30 + ASS * 0.10 + BUT * 0.30


*** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

1. In-class assignments and homeworks should be completed and submitted on time.
2. Assignment results should be identified clearly in discussions and active participation is required for each study. Each participation will be awarded by a particular point.
3. Members of the groups should demonstrate their individual knowledge and ability during presentations and discussions.
4. Reports and homework papers should be prepared according to specific academic format, i.e., APA..

Assessment Criteria

1. In-class assignments and homeworks should be completed and submitted on time.
2. Assignment results should be identified clearly in discussions and active participation is required for each study. Each participation will be awarded by a particular point.
3. Members of the groups should demonstrate their individual knowledge and ability during presentations and discussions.
4. Reports and homework papers should be prepared according to specific academic format, i.e., APA..

Language of Instruction

English

Course Policies and Rules

1. Attending at least 70 percent of lectures is mandatory.
2. Plagiarism of any type will result in disciplinary action.
3. Participation in class discussions is required. This is a math-oriented course. The subject matter is mastered through student s active participation and practice.
4. Students should submit the homework a week after the related chapter is completed.
5. This course is designed to encourage student participation and practice.

Contact Details for the Lecturer(s)

Assist.Prof. Aysun Kapucugil Ikiz
room: 126
email: aysun.kapucugil@deu.edu.tr

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 9 3 27
Case study 3 3 9
Preparations before/after weekly lectures 9 1,5 14
Preparation for midterm exam 1 15 15
Preparation for final exam 1 15 15
Preparing presentations 1 5 5
Preparing assignments 5 5 25
Midterm 1 1,5 2
Final 1 1,5 2
TOTAL WORKLOAD (hours) 114

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11PO.12PO.13PO.14PO.15
LO.1123531
LO.2232353
LO.333521
LO.44343353
LO.5143414353233
LO.62233533