Information Package

Master's of Industrial Engineering with Thesis

END513

EXPERIMENTAL DESIGN

Course Code
END513
Semester
-
Theory+Practice
3 + 0
ECTS
10
Course TypeElective Course
Course LevelMaster's Degree With Thesis
Year of Study-
Semester-
ECTS10
Name of Lecturer(s)
Learning Outcomes

At the end of this course, the students;

  1. Gain an ability to design and conduct experiments, as well as to analyze and interpret data
  2. Gain an ability to design a system, component, or process to meet desired needs within realistic
  3. Design in the experiments using package program to get results and ability to interpret
Mode of DeliveryFace to face
PrerequisitesNo
Recommended Optional Programme ComponentsNone
Course DescriptionBasic concepts and methods of experimental design. Single and multiple regression analysis, analysis of variance. Single factor experiments. Random block design and Latin square. Factorial design, fixed effect model, random and mixed models. Applications.
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),Averaging testing After ANOVA, confidence intervals, variance components
3rd Week Experiments with a single factor completed random blocks designe
4th Week Incomplete blocks designe
5th Week Experiments with a single factor Latin square designe, and other squares designe, intermediate
6th Week Factorial Experiments: The concept of interaction and ANOVA logic
7th Week Midterm
8th Week Restrictions are placed on the randomation in Factorial Experiments
9th Week 2k Factorial Experiments
10th Week 2k Factorial Experiments
11th Week Confounding in blocks
12th Week Confounding in blocks
13th Week Fractional replication experiments
14th Week Taguchi experiments
Recommended or Required ReadingMontgomery D.C., (2000), Design and Analysis of Experiments, 5th Edition, Wiley.
W.G.Cochran , G.M.Cox, Experimental Designs, Wiley, 1957, New York.
Planned Learning Activities and Teaching Methods
  • Lecture
  • Questions/Answers
  • Problem Solving
  • Practice
  • Presentation
Assessment Methods and Criteria
Quantity Percentage (%)
Mid-term 1 30
Project 1 30
Total(%) 60
Contribution of In-term Studies to Overall Grade(%) 60
Contribution of Final Examination to Overall Grade(%) 40
Total(%) 100
ECTS Allocated Based on Student Workload
Activities Quantity Duration (Hour) Total Workload (Hour)
Midterm exam 1 2 2
Preparation for Quiz
Individual or group work 14 14 196
Preparation for Final exam 1 25 25
Course hours 14 3 42
Preparation for Midterm exam 1 25 25
Laboratory (including preparation)
Final exam 1 2 2
Homework 1 14 14
Total Work Load306
Total Work Load / 30 (h)10.2
ECTS Credit of the Course10
Language of InstructionTurkish
Work Placement(s)No
LO1 LO2 LO3
K1 X X X
K2 X X X
K3
K4 X X X
K5 X
K6
K7
K8
K9
K10
K11