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Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS ERA 4406 STATISTICAL QUALIY CONTROL ELECTIVE 3 0 0 5

Offered By

Econometrics

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

ASSOCIATE PROFESSOR MURAT TANIK

Offered to

Econometrics Econometrics

Course Objective

The purpose of this course is to teach best statistical tecniques and approaches for service and production process and to create awareness about basic quality consepts.

Learning Outcomes of the Course Unit

1   To be able to understand the consept of qulity. 2   To be able to understand the concept of the variation and its types 3   To be able to assess the quality level of a product by using acceptance sampling methods. 4   To be able to understand the tecniques that can bu used to improve service and production process and to understand the usage of statistical process control 5   To be able to interpret the quality of a process by using appropriate statistical tools.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description 1 1 Basit quality consepts, quality history 2 2 Concept of variation and its causes 3 3 Understanding the natüre of variation and tools for fighting it 4 4 Statistical precess control : Control Charts for Variables. X-bar & R 5 5 Statistical precess control : Control Charts for Variables ve X & S and X-MR control charts) 6 6 Statistical precess control : Control Charts for Attributesı (p, np, c ve u control charts 7 7 Statistical precess control : Control Charts for Attributesı (p, np, c ve u control charts) 8 8 Mid-term 9 9 Mid-term 10 10 Process capability index (Cpm, Cpl ve Cpu indices) 11 11 Process capability index (Cpm, Cpl ve Cpu indices 12 12 Acceptance Sampling 13 13 Developed standarts for acceptance sampling 14 14 Experimental desing for quality

Recomended or Required Reading

Montgomery, D. (2004) Statistical Quality Control, Wiley. New York.

Planned Learning Activities and Teaching Methods

This course will be presented using class lectures, class discussions, overhead projections, and demonstrations.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA 1 MTE MIDTERM EXAM 2 MTEG MIDTERM GRADE MTEG * 1 3 FIN FINAL EXAM 4 FCGR FINAL COURSE GRADE MTEG * 0.40 + FIN * 0.60 5 RST RESIT 6 FCGR FINAL COURSE GRADE (RESIT) MTEG * 0.40 + RST * 0.60 *** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

To be announced.

Language of Instruction

English

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

Doç.Dr.Murat Tanık murat.tanik@deu.edu.tr

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours) Lectures 12 3 36 Preparation about subject 12 3 36 Preparation for midterm exam 1 17 17 Preparation for final exam 1 24 24 Midterm 1 1 1 Final 1 1 1 TOTAL WORKLOAD (hours) 115

Contribution of Learning Outcomes to Programme Outcomes

PO/LO PO.1 PO.2 PO.3 PO.4 PO.5 PO.6 PO.7 PO.8 PO.9 PO.10 LO.1 1 LO.2 1 LO.3 LO.4 1 1 LO.5 1