Master TR-NQF-HE: Level 7 QF-EHEA: Second Cycle EQF-LLL: Level 7

Course Introduction and Application Information

Course Code Course Name Semester Theoretical Practical Credit ECTS
INE6150 Design of Experiments Spring 3 0 3 8
This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester.

Basic information

Language of instruction: English
Type of course: Departmental Elective
Course Level:
Mode of Delivery: Face to face
Course Coordinator :
Recommended Optional Program Components: N.A.
Course Objectives: The aim of the course is to introduce the most commonly used experiments in engineering studies, to discuss the ideas, principles and assumptions required for the construction, implementation, and validity of the analysis for each experimental design and to analyze the resulting data. Applications with statistical software packages are also utilized.

Learning Outcomes

The students who have succeeded in this course;
I. Explain the difference between fixed and random factors.
II. Recognize the difference between completely randomized design and randomized blocks.
III. Design and conduct experiments involving several factors using the factorial design approach.
IV. Use ANOVA to analyze the data from the experiments.
V. Analyze and interpret main effects and interactions.
VI. Design and conduct experiments involving the randomized complete block design.
VII. Design and conduct fractional factorial designs.
VIII. Assess model adequacy with residual analyses.
IX. Perform power analysis and calculate the sample size required for a design.

Course Content

Randomization, replication, blocking, transformations, fixed and random effect models, single factor experiments (analysis of variance), Latin squares, factorial designs, fractional factorial designs.

Weekly Detailed Course Contents

Week Subject Related Preparation
1) Introduction to Designed Experiments
2) Basic Statistical Methods
3) Basic Statistical Methods
4) Analysis of Variance
6) Analysis of Variance
7) Experiments with Blocking Factors
8) Experiments with Blocking Factors
9) Midterm Exam
10) Factorial Experiments
11) Factorial Experiments
12) Two-Level Fractional Factorial Designs
13) Two-Level Fractional Factorial Designs
14) Project presentations


Course Notes / Textbooks: Douglas C. Montgomery, 2012. Design and Analysis of Experiments, John Wiley & Sons, 8th Edition
References: N.A.

Evaluation System

Semester Requirements Number of Activities Level of Contribution
Homework Assignments 4 % 10
Project 1 % 20
Midterms 1 % 30
Final 1 % 40
Total % 100
Total % 100

ECTS / Workload Table

Activities Number of Activities Workload
Course Hours 14 42
Study Hours Out of Class 14 28
Presentations / Seminar 1 10
Project 4 40
Homework Assignments 4 40
Midterms 1 15
Final 1 20
Total Workload 195

Contribution of Learning Outcomes to Programme Outcomes

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
Program Outcomes Level of Contribution