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SDÜ Education Information System Course Content
Programme
Graduate School of Natural and Applied Sciences Industrial Engineering, M.Sc.
Course Information
Course Unit Code
Course Unit Title
Credit Theoretic
Credit Pratic
Credit Lab/A
Credit Total
Credit Ects
Semester
01END5110
Online and Offline Quality Control
3.00
0.00
0.00
3.00
6.00
1
Course Information
Language of Instruction
Turkish
Type of Course Unit
Elective
Course Coordinator
Assistant Professor Dr. Gültekin ÖZDEMİR
Course Instructors
3-Gültekin Özdemir
Course Assistants
 
Course Aims
To teach students examining measurement data to provide product/service quality and prepare them as applicants.
Course Goals
Product / service quality to ensure that data and findings of a review and evaluation methods will be able to learn and practitioners as one can prepare.
Learning Outcomes of The Course Unit
Comprehending quality and quality relevant terms
Comprehending the necessityy quality and its relationship with profitability, productivity and cycle time
Ability to comment on the difference between Inspection and preventing failure approach
Ability to comment on variability and quality
Ability of statistical evaluation of measurement data
Ability to define statistical process control
Comprehending structure of control chart, its usability and kinds
Ability to form the structure of control chart to monitor process
Ability of using sampling planning and selecting suitable one
Ability to comment on experiment results and design of experiment tecqniques, Taguchi method
Course Contents
Quality and relavant terms, quality systems, probability distributions, statistical process control, control charts, acceptance sampling, design of experiment, Taguchi method
Prerequisities and Co-requisities Courses
 
Recommended Optional Programme Components
 
Mode Of Delivery
 
Level of Course Unit
 
Assessment Methods and Criteria
ECTS / Table Of Workload (Number of ECTS credits allocated)
Studies During Halfterm
Number
Co-Efficient
Activity
Number
Duration
Total
Visa
1
50
Course Duration (Excluding Exam Week)
14
3
42
Quiz
0
0
Time Of Studying Out Of Class
14
4
56
Homework
0
0
Homeworks
6
3
18
Attendance
0
0
Presentation
0
0
0
Application
0
0
Project
0
0
0
Lab
0
0
Lab Study
0
0
0
Project
0
0
Field Study
0
0
0
Workshop
0
0
Visas
1
20
20
Seminary
0
0
Finals
1
30
30
Field study
0
0
Workload Hour (30)
30
TOTAL
50
Total Work Charge / Hour
166
The ratio of the term to success
50
Course's ECTS Credit
6
The ratio of final to success
50
 
TOTAL
100
 
Recommended or Required Reading
Textbook
Lecture Notes
Additional Resources
 
Material Sharing
Documents
 
Assignments
 
Exams
 
Additional Material
 
Planned Learning Activities and Teaching Methods
Lectures, Practical Courses, Presentation, Seminar, Project, Laboratory Applications (if necessary)
Work Placements
As with any other educational component, credits for work placements are only awarded when the learning outcomes have been achieved and assessed. If a work placement is part of organised mobility (such as Farabi and Erasmus), the Learning Agreement for the placement should indicate the number of credits to be awarded if the expected learning outcomes are achieved.
Program Learning Outcomes
No
Course's Contribution to Program
Contribution
1
Ability to formulate and solve engineering problems by using mathematics, occupational knowledge and scientific methods.
5