TYPE OF COURSE UNIT	Elective Course
LEVEL OF COURSE UNIT	Master's Degree With Thesis
YEAR OF STUDY	-
SEMESTER	-
NUMBER OF ECTS CREDITS ALLOCATED	10
NAME OF LECTURER(S)	Professor Yusuf Tansel İç
LEARNING OUTCOMES OF THE COURSE UNIT	At the end of this course, the students; 1) will have knowledge on applications of mathematics, science and engineering knowledge 2) will have knowledge on systematic problem description and solution capabilities to improve a manufacturing/service sector
MODE OF DELIVERY	Face to face
PRE-REQUISITES OF THE COURSE	No
RECOMMENDED OPTIONAL PROGRAMME COMPONENT	None
COURSE DEFINITION	Six Sigma Concept, History of Six Sigma, Critical Success Factors, Roles and Responsibilities, Define, Measure, Analyze, Improve, and Control (DMAIC) Cycle, Techniques Used in Six Sigma, Six Sigma Case Studies, Computer Applications.
COURSE CONTENTS	WEEK TOPICS 1st Week History, concepts and tools of six sigma 2nd Week Measurement of process performance level 3rd Week Selection of six sigma projects 4th Week Roles and responsibilities in six sigma 5th Week DMAIC cycle 6th Week Lean six sigma and design for six sigma 7th Week Problems in applications of six sigma 8th Week Midterm I 9th Week Poka Yoke + Mistake proofing video 10th Week Literature review and presentations of six sigma applications 11th Week Literature review and presentations of six sigma applications 12th Week Six sigma videos 13th Week Advanced techniques in six sigma: Regression 14th Week Advanced techniques in six sigma: Response surface optimization
RECOMENDED OR REQUIRED READING	1. Breyfogle, F.W. Implementing Six Sigma-Smarter Solutions Using Statistical Methods, Wiley-Interscience, 1999. 2. Henderson, G. R., Six Sigma Quality Improvement with MINITAB, John Wiley & Sons, 2006. 3. Selected literature and case studies
PLANNED LEARNING ACTIVITIES AND TEACHING METHODS	Lecture,Questions/Answers,Problem Solving,Practice
ASSESSMENT METHODS AND CRITERIA	Quantity Percentage(%) Mid-term 1 35 Assignment 3 15 Quiz 3 15 Total(%) 65 Contribution of In-term Studies to Overall Grade(%) 65 Contribution of Final Examination to Overall Grade(%) 35 Total(%) 100
ECTS WORKLOAD	Activities Number Hours Workload Midterm exam 1 2 2 Preparation for Quiz 3 4 12 Individual or group work 14 14 196 Preparation for Final exam 1 20 20 Course hours 14 3 42 Preparation for Midterm exam 1 20 20 Laboratory (including preparation) Final exam 1 2 2 Homework 3 6 18 Total Workload 312 Total Workload / 30 10,4 ECTS Credits of the Course 10
LANGUAGE OF INSTRUCTION	Turkish
WORK PLACEMENT(S)	No