GRADUATE SCHOOL
M.SC. In Industrial Engineering (With Thesis)
IE 544 | Course Introduction and Application Information
| Course Name |
Experimental Design in Engineering
|
|
Code
|
Semester
|
Theory
(hour/week) |
Application/Lab
(hour/week) |
Local Credits
|
ECTS
|
|
IE 544
|
Fall/Spring
|
3
|
0
|
3
|
7.5
|
| Prerequisites |
None
|
|||||
| Course Language |
English
|
|||||
| Course Type |
Elective
|
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| Course Level |
Second Cycle
|
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| Mode of Delivery | - | |||||
| Teaching Methods and Techniques of the Course | - | |||||
| Course Coordinator | ||||||
| Course Lecturer(s) | ||||||
| Assistant(s) | - | |||||
| Course Objectives | To teach general statistical analysis, design of engineering experiments and projects using theory of least squares, analysis of variance, randomized blocks, factorial experiments, and associated topics as well as engineering experimental design and analysis using software packages. |
| Learning Outcomes |
The students who succeeded in this course;
|
| Course Description | This course covers: basic statistical concepts; design of experiments methodology; simple comparative experiments; single and multi-factor experiments; randomized blocks; Latin square designs; full factorial designs; fractional factorial designs; regression models; response surface methodology. |
|
|
Core Courses | |
| Major Area Courses | ||
| Supportive Courses |
X
|
|
| Media and Management Skills Courses | ||
| Transferable Skill Courses |
WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES
| Week | Subjects | Related Preparation |
| 1 | Introduction | Textbook, Chapter 1 |
| 2 | Simple Comparative Experiments | Textbook, Chapter 2 |
| 3 | Experiments with a Single Factor: The Analysis of Variance | Textbook, Chapter 2 |
| 4 | Experiments with a Single Factor: The Analysis of Variance | Textbook, Chapter 2 |
| 5 | Randomized Blocks, Latin Squares, and Related Designs | Textbook, Chapter 2 |
| 6 | Introduction to Factorial Designs | Textbook, Chapter 4 |
| 7 | Midterm | Textbook, Chapter 4 |
| 8 | The 2k Factorial Design | Textbook, Chapter 4 |
| 9 | The 2k Factorial Design | Textbook, Chapter 5 |
| 10 | Blocking and Confounding in the 2k Factorial Design | Textbook, Chapter 5 |
| 11 | Two-level Fractional Factorial Designs | Textbook, Chapter 6 |
| 12 | Three-Level and Mixed-Level Factorial Designs | Textbook, Chapter 6 |
| 13 | Fitting Regression Models | Textbook, Chapter 7 |
| 14 | Fitting Regression Models | Textbook, Chapter 7 |
| 15 | Response Surface Methods and Designs | Textbook, Chapter 8 |
| 16 | Review of the Semester | Textbook, Chapter 8 |
| Course Notes/Textbooks | Douglas C. Montgomery, 2009. Design and Analysis of Experiments, 7th Ed., John Wiley & Sons, Inc., NJ, USA. |
| Suggested Readings/Materials | Course notes and Slayts |
EVALUATION SYSTEM
| Semester Activities | Number | Weigthing |
| Participation | ||
| Laboratory / Application |
2
|
20
|
| Field Work | ||
| Quizzes / Studio Critiques | ||
| Portfolio | ||
| Homework / Assignments |
3
|
15
|
| Presentation / Jury | ||
| Project | ||
| Seminar / Workshop | ||
| Oral Exams | ||
| Midterm |
1
|
30
|
| Final Exam |
1
|
35
|
| Total |
| Weighting of Semester Activities on the Final Grade |
65
|
|
| Weighting of End-of-Semester Activities on the Final Grade |
35
|
|
| Total |
ECTS / WORKLOAD TABLE
| Semester Activities | Number | Duration (Hours) | Workload |
|---|---|---|---|
| Theoretical Course Hours (Including exam week: 16 x total hours) |
16
|
3
|
48
|
| Laboratory / Application Hours (Including exam week: '.16.' x total hours) |
16
|
1
|
16
|
| Study Hours Out of Class |
15
|
5
|
75
|
| Field Work |
0
|
||
| Quizzes / Studio Critiques |
0
|
||
| Portfolio |
0
|
||
| Homework / Assignments |
5
|
5
|
25
|
| Presentation / Jury |
0
|
||
| Project |
1
|
-
|
0
|
| Seminar / Workshop |
0
|
||
| Oral Exam |
0
|
||
| Midterms |
1
|
21
|
21
|
| Final Exam |
1
|
50
|
50
|
| Total |
235
|
COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP
|
#
|
Program Competencies/Outcomes |
* Contribution Level
|
||||
|
1
|
2
|
3
|
4
|
5
|
||
| 1 | To have an appropriate knowledge of methodological and practical elements of the basic sciences and to be able to apply this knowledge in order to describe engineering-related problems in the context of industrial systems. |
X | ||||
| 2 | To be able to identify, formulate and solve Industrial Engineering-related problems by using state-of-the-art methods, techniques and equipment. |
X | ||||
| 3 | To be able to use techniques and tools for analyzing and designing industrial systems with a commitment to quality. |
X | ||||
| 4 | To be able to conduct basic research and write and publish articles in related conferences and journals. |
X | ||||
| 5 | To be able to carry out tests to measure the performance of industrial systems, analyze and interpret the subsequent results. |
X | ||||
| 6 | To be able to manage decision-making processes in industrial systems. |
X | ||||
| 7 | To have an aptitude for life-long learning; to be aware of new and upcoming applications in the field and to be able to learn them whenever necessary. |
X | ||||
| 8 | To have the scientific and ethical values within the society in the collection, interpretation, dissemination, containment and use of the necessary technologies related to Industrial Engineering. |
X | ||||
| 9 | To be able to design and implement studies based on theory, experiments and modeling; to be able to analyze and resolve the complex problems that arise in this process; to be able to prepare an original thesis that comply with Industrial Engineering criteria. |
X | ||||
| 10 | To be able to follow information about Industrial Engineering in a foreign language; to be able to present the process and the results of his/her studies in national and international venues systematically, clearly and in written or oral form. |
X | ||||
*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest