TYPE OF COURSE UNIT	Elective Course
LEVEL OF COURSE UNIT	Bachelor's Degree
YEAR OF STUDY	-
SEMESTER	-
NUMBER OF ECTS CREDITS ALLOCATED	5
NAME OF LECTURER(S)	Professor Kumru Didem Atalay
LEARNING OUTCOMES OF THE COURSE UNIT	At the end of this course, the students; 1) Have an ability to design and conduct experiments, as well as to analyze and interpret data 2) Have an ability to design a system, component, or process to meet desired needs within realistic 3) Design the experiments using the MINITAB package program to get results and to interpret
MODE OF DELIVERY	Face to face
PRE-REQUISITES OF THE COURSE	No
RECOMMENDED OPTIONAL PROGRAMME COMPONENT	Statistical Analysis and Stochastic Processes
COURSE DEFINITION	In this course, statistical decision theory, multiple regression, single and bidirectional models, factorial model, distribution free-inference, 2k designs, and quality by design are covered. Students who complete this course will achieve basic skills necessary to design and apply statistical methods in areas, e.g. product development, productivity and total quality management, which are closely related to the industrial engineering profession.
COURSE CONTENTS	WEEK TOPICS 1st Week Experimental design principles for the design example 2nd Week Experiments with Single Factors: Variance analysis of the logic (ANOVA), 3rd Week Averaging testing After ANOVA, confidence intervals, variance components 4th Week Experiments with a single factor completed random blocks design 5th Week Incomplete blocks design 6th Week Experiments with a single factor Latin square design, and other squares designe, 7th Week Factorial Experiments: The concept of interaction and ANOVA logic 8th Week Factorial Experiments: The concept of interaction and ANOVA logic 9th Week Midterm 10th Week Restrictions are placed on the randomation in Factorial Experiments 11th Week 2k Factorial Experiments 12th Week 2k Factorial Experiments 13th Week Confounding in blocks 14th Week Fractional replication experiments
RECOMENDED OR REQUIRED READING	1-C.R.Hıcks,(çeviri), Deney Düzenlemede İstatistiksel Yöntemler, Z.Muluk, Ö.Toktamış, S.Kurt, E.Karaağaoğlu, Gazi Kitapevi yayını, Ankara, 2009 2-Montgomery D.C. 2000. Design and Analysis of Experiments, 5th Edition, Wiley. 3-W.G.Cochran , G.M.Cox. 1957. Experimental Designs, Wiley, New York. 4-Erbaş O.S., Olmuş H. 2006. Deney Düzenleri ve İstatistik Analizleri, Gazi Kitapevi, Ankara
PLANNED LEARNING ACTIVITIES AND TEACHING METHODS	Lecture,Discussion,Questions/Answers,Practice,Problem Solving,Experiment
ASSESSMENT METHODS AND CRITERIA	Quantity Percentage(%) Mid-term 1 30 Assignment 4 10 Quiz 4 15 Practice 4 10 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 4 2 8 Individual or group work 14 1 14 Preparation for Final exam 1 20 20 Course hours 14 3 42 Preparation for Midterm exam 1 20 20 Laboratory (including preparation) 4 2 8 Final exam 1 2 2 Homework 4 8 32 Total Workload 148 Total Workload / 30 4,93 ECTS Credits of the Course 5
LANGUAGE OF INSTRUCTION	Turkish
WORK PLACEMENT(S)	No