Information Package
baskent.edu.tr

Program of Industrial Engineering (English)

IND409

EXPERIMENTAL DESIGN

Course Code
IND409
Semester
-
Theory+Practice
3 + 0
ECTS
5
Course TypeElective Course
Course LevelBachelor's Degree
Year of Study-
Semester-
ECTS5
Name of Lecturer(s) -
Learning Outcomes

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 DeliveryFace to face
PrerequisitesNo
Recommended Optional Programme ComponentsStatistical Analysis and Stochastic Processes
Course DescriptionIn 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
Recommended or Required Reading1-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
Language of InstructionTurkish
Work Placement(s)No

Programme Qualifications / Learning Outcomes

LO1 LO2 LO3
K1
K2 X
K3 X
K4 X
K5 X
K6
K7
K8
K9
K10
K11