• HOME
• ABOUT US
  • Name Address
  • General Description
  • Governance
  • Academic Calendar
  • Degree Programmes
  • List of Programmes in English
  • General Admission and Registration Procedures
  • Credit Mobility and Recognition of Prior Learning
  • ECTS Credit Allocation
  • Academic Guidance
  • Contacts
• Degree Programmes
  • Third Cycle Programmes (Doctorate Degree)
  • Second Cycle Programmes (Master's Degree)
  • First Cycle Programmes (Bachelor's Degree)
  • Short Cycle Programmes (Associate's Degree)
• GENERAL INFORMATION FOR STUDENTS
  • Cost of Living
  • Accommodation
  • Meals
  • Medical Facilities
  • Facilities for Disabled Students
  • Insurance
  • Financial Supports
  • Student Affairs Office
  • Practical Information for International Students
  • Language Courses
  • Work Placement Possibilities
  • Sports, Social and Cultural Facilities
  • Student Associations and Clubs
  • About İzmir - Turkey
• INTERNATIONAL RELATIONS
  • International Relations Office
  • Registration Procedures
  • Agreements
  • Coordinators
  • Documents
  • List of Programmes in English
  • ECTS / DS Labels

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS EMT 4028 STATISTICAL QUALITY 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 (Evening)

Course Objective

The purpose of this course is to teach best statistical tecniques for 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 assess the quality level of a produced lot by using acceptance sampling methods. 3   To be able to evaluate the reability of measurement system that will be used during quality improvements. 4   To be able to understand the tecniques that can bu used to improve production process and to understand the usage of statistical process control. 5   To be able to understand the methods that can be used for improving the quality of a product during the design phase. 6   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 Basit quality consepts, quality history 2 Statatistical precess control : Control Charts for Variables.(X-bar & R control charts) 3 Statistical precess control : Control Charts for Variables.( X-bar & S ve X & MR control charts) 4 Statistical precess control : Control Charts for Attributesı (p, np, c ve u control charts) 5 Operating characteristic curve and average run length 6 CUSUM Control Charts, Process capability index (Cp ve Cpk indices) 7 Process capability index (Cpm, Cpl ve Cpu indices) 8 Mid-term 9 Mid-term 10 Measurement system analysis (deviation analysis, R & R works) 11 Acceptance Sampling 12 Developed standarts for acceptance sampling 13 Experimental desing for quality 14 Process modeling and optimization using analysis of variance.

Recomended or Required Reading

1- 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

Further Notes About Assessment Methods

None

Assessment Criteria

To be announced.

Language of Instruction

Turkish

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

To be announced.

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours) Lectures 12 3 36 Preparations before/after weekly lectures 12 2 24 Preparation for midterm exam 1 25 25 Preparation for final exam 1 28 28 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 1 LO.4 1 LO.5 1 LO.6 1