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Information
| Code | EM503 |
| Name | Design of Experiments for Engineers |
| Term | 2024-2025 Academic Year |
| Term | Fall |
| Duration (T+A) | 3-0 (T-A) (17 Week) |
| ECTS | 6 ECTS |
| National Credit | 3 National Credit |
| Teaching Language | Türkçe |
| Level | Yüksek Lisans Dersi |
| Type | Normal |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Prof. Dr. RIZVAN EROL |
| Course Instructor |
Prof. Dr. RIZVAN EROL
(A Group)
(Ins. in Charge)
|
Course Goal / Objective
he primary aim of this course is to study statistical experimental designs used commonly in engineering experiments and statistical analysis of exprimental data. This course will cover underlying theory of such designs and the use of an experimental design software for both building and analyzing engineering experiments.
Course Content
Simple comparative experiments. experiments with a single factor. analysis of variance. randomized blocks, latin squares and related designs. factorial designs. the 2k factorial design. blocking and confounding in the 2k factorial design. two-level fractional factorial designs. three-level and mixed-level factorial and fractional designs. factorial experiments with random factors. nested and split-plot designs.
Course Precondition
None
Resources
MONTGOMERY, D. C., 2017, Design and analysis of experiments (9th ed.), Wiley & Sons Inc., New York, NY.
Notes
Design-Expert 12 Manual with Tutorials, 2019, DesignEase Inc.
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Understands and applies statistical design principles in experimental studies. |
| LO02 | Selects an appropriate experimental design for the objective and scope of an experimental study. |
| LO03 | Performs statistical analysis of observations of an experimental study. |
| LO04 | Learns how to use an Experimental Design and Analysis software |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | Bilgi - Kuramsal, Olgusal | Conducts scientific research in industrial engineering, understands, interprets and applies knowledge in his/her field domain both in-depth and in-breadth. | |
| PLO02 | Bilgi - Kuramsal, Olgusal | Acquires detailed knowledge for methods and tools of industrial engineering and their limitations. | |
| PLO03 | Bilgi - Kuramsal, Olgusal | Keeps up with the recent changes and applications in the field of Industrial Engineering and examines and learns these innovations when necessary. | 4 |
| PLO04 | Bilgi - Kuramsal, Olgusal | Identifies, gathers and uses necessary information and data. | 3 |
| PLO05 | Beceriler - Bilişsel, Uygulamalı | Has the ability to develop/propose new and/or original ideas and methods, propose new solutions for designing systems, components or processes. | |
| PLO06 | Beceriler - Bilişsel, Uygulamalı | Designs Industrial Engineering problems, develops new methods to solve the problems and applies them. | 4 |
| PLO07 | Beceriler - Bilişsel, Uygulamalı | Designs and performs analytical modeling and experimental research and analyze/solves complex matters emerged in this process. | 5 |
| PLO08 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Works in multi-disciplinary teams, take a leading role and responsibility and develop solutions for complex problems. | |
| PLO09 | Yetkinlikler - Öğrenme Yetkinliği | Completes and applies the knowledge by using limited resources in scientific methods and integrates the knowledge in the field with the knowledge form various disciplines. | 3 |
| PLO10 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Uses a foreign language in verbal and written communication at least B2 level of European Language Portfolio. | |
| PLO11 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Presents his/her research findings systematically and clearly in oral or written forms in national and international platforms. | 4 |
| PLO12 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Understands social and environmental implications of engineering practice. | |
| PLO13 | Yetkinlikler - Öğrenme Yetkinliği | Considers social, scientific and ethical values in data collection, interpretation and announcement processes and professional activities. | 5 |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Strategy of experimentation; some typical applications of experimental design; basic principles and guidelines | reading the related textbook chapter | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 2 | Simple comparative experiments; basic statistical concepts; sampling and sampling distributions; central limit theorem; inferences about the difference | reading the related textbook chapter | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Problem Çözme |
| 3 | Experiments with a single factor; ANOVA; the fixed effects model; model adequacy checking | reading the related textbook chapter | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Problem Çözme |
| 4 | Practical interpretation of results; regression model; contrasts; computer analysis; random effects model | reading the related textbook chapter | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Problem Çözme |
| 5 | More about single factor experiments; choice of sample size; discovering dispersion effects; fitting response curves; regression approach to ANOVA | reading the related textbook chapter | Öğretim Yöntemleri: Soru-Cevap, Anlatım, Problem Çözme |
| 6 | Randomized complete block design; statistical analysis; model adequacy checking; estimating model parameters | reading the related textbook chapter | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Problem Çözme |
| 7 | Latin square design; Graeco-latin square design; balanced incomplete block designs | reading the related textbook chapter | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Problem Çözme |
| 8 | Mid-Term Exam | prepare for the exam | Ölçme Yöntemleri: Yazılı Sınav |
| 9 | Introduction to factorial designs; the advantage of factorials; two-factor factorial designs | reading the related textbook chapter | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Problem Çözme |
| 10 | General factorial design; fiiting response curves and surfaces; blocking in a factorial design; unbalanced data in a factorial design | reading the related textbook chapter | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Problem Çözme |
| 11 | 2k factorial design; 22 design; 23 design; the general 2k design; model adequacy; parameter estimation; addition of center points | reading the related textbook chapter | Öğretim Yöntemleri: Soru-Cevap, Anlatım, Problem Çözme |
| 12 | Blocking and confounding 2k in the factorial design; partial confounding | reading the related textbook chapter | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Problem Çözme |
| 13 | Two-level fractional factorial designs; one-half fractional designs; one-quarter fractional designs; design resolution | reading the related textbook chapter | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Problem Çözme |
| 14 | The general 2k-p fractional design; resolution III designs; resolution IV and V designs | reading the related textbook chapter | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Problem Çözme |
| 15 | Project Presentations | prepare a presentation | Ölçme Yöntemleri: Proje / Tasarım |
| 16 | Final Exam | prepare for the exam | Ölçme Yöntemleri: Yazılı Sınav |
| 17 | Final Exam | prepare for the exam | Ölçme Yöntemleri: Yazılı Sınav |
Student Workload - ECTS
| Works | Number | Time (Hour) | Workload (Hour) |
|---|---|---|---|
| Course Related Works | |||
| Class Time (Exam weeks are excluded) | 14 | 3 | 42 |
| Out of Class Study (Preliminary Work, Practice) | 14 | 5 | 70 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 0 | 0 | 0 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 15 | 15 |
| Final Exam | 1 | 30 | 30 |
| Total Workload (Hour) | 157 | ||
| Total Workload / 25 (h) | 6,28 | ||
| ECTS | 6 ECTS | ||