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Information
| Code | MTH002 |
| Name | Design of Experiments |
| Semester | 5. Semester |
| Duration (T+A) | 3-0 (T-A) (17 Week) |
| ECTS | 4 ECTS |
| National Credit | 3 National Credit |
| Teaching Language | Türkçe |
| Level | Lisans Dersi |
| Type | Normal |
| Mode of study | Uzaktan Öğretim |
| Catalog Information Coordinator |
Course Goal
This course will focus on planning, designing and carrying out experiments efficiently and effectively, analyzing the resulting data and obtaining objective results, and using statistical methods for optimization purposes. Both design and statistical analysis issues will be covered. Students will use Minitab software for calculation purposes.
Course Content
This course will focus on the design and analysis of experiments and will include a statistical model-based approach examining theoretical and practical issues associated with empiricism. In this course, students will be introduced to the basic principles of experimental design and appropriate analysis for experimental design data. Topics include Basic Statistics, One Way in One Factor, Hypothesis Testing, ANOVA, Randomization, Blocking Designs, Factorial Designs, Fractional Factorial Designs, Response Surface Methodology, Taguchi, Optimization, and others. The Minitab tool will be used throughout the course.
Course Precondition
none
Resources
Design and Analysis of Experiments by Douglas Montgomeryy Course Presentations
Notes
-Course Presentations
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Ability to use minitab |
| LO02 | Ability to analyze data |
| LO03 | Learning Statistical Tools and their use in solving engineering problems and experiments. |
| LO04 | Gaining the ability to choose the stages of experimental design and appropriate Experimental Design Tools. |
| LO05 | 5. Learning what experimental design is and understanding how and when to use it in complex problem solving and research studies. |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | Bilgi - Kuramsal, Olgusal | Have sufficient knowledge of mathematics, science and related engineering disciplines; can use the theoretical and applied knowledge in these fields in complex engineering problems. | 4 |
| PLO02 | Bilgi - Kuramsal, Olgusal | Acquire the ability to identify, define, formulate and solve complex Industrial Engineering problems; for this purpose, will have the ability to choose and apply appropriate analysis and modeling methods. | 5 |
| PLO03 | Bilgi - Kuramsal, Olgusal | Design a complex system, process, device or product to meet specific requirements under realistic constraints and conditions; can apply modern design methods for this purpose. | 3 |
| PLO04 | Bilgi - Kuramsal, Olgusal | Develops modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering applications, and has the ability to use information technologies effectively. | 5 |
| PLO05 | Bilgi - Kuramsal, Olgusal | Have the ability to design experiments, collect data, analyze and interpret results for the investigation of complex engineering problems or discipline-specific research topics. | 5 |
| PLO06 | Bilgi - Kuramsal, Olgusal | Have the ability to work effectively in disciplinary and multi-disciplinary teams or individually. | |
| PLO07 | Beceriler - Bilişsel, Uygulamalı | Ability to communicate effectively in Turkish orally and in writing; knowledge of at least one foreign language; have the ability to write effective reports and understand written reports, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions. | 3 |
| PLO08 | Beceriler - Bilişsel, Uygulamalı | Have the awareness of the necessity of lifelong learning; can follow the developments in science and technology and have the ability to constantly renew themselves. | |
| PLO09 | Yetkinlikler - Öğrenme Yetkinliği | Acts in accordance with ethical principles, has knowledge about the standards used in engineering applications with the awareness of professional and ethical responsibility. | |
| PLO10 | Yetkinlikler - Öğrenme Yetkinliği | Gain knowledge of business practices such as project management, risk management and change management; become aware of entrepreneurship and innovation. | |
| PLO11 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Gains knowledge about the effects of engineering practices on health, environment and safety in universal and social dimensions and the problems of the age reflected in the field of engineering and has awareness of the legal consequences of engineering solutions. | |
| PLO12 | Yetkinlikler - Öğrenme Yetkinliği | They can benefit from the power of effective communication in their professional life and have the ability to interpret developments correctly. | |
| PLO13 | Yetkinlikler - Öğrenme Yetkinliği | Have the ability to design, develop, implement and improve integrated systems involving machine, time, information and money. | |
| PLO14 | Yetkinlikler - Öğrenme Yetkinliği | Have the ability to design, develop, implement and improve complex products, processes, businesses, systems by applying modern design methods, under realistic conditions and constraints such as cost, environment, sustainability, manufacturability, ethical, health, safety and political issues. |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Introduction to Experimental Design | lecture notes | Öğretim Yöntemleri: Anlatım |
| 2 | Basic Statistical Methods and Minitab Part 1 | lecture notes | Öğretim Yöntemleri: Anlatım |
| 3 | Basic Statistical Methods and Minitab Part 2 | lecture notes | Öğretim Yöntemleri: Anlatım |
| 4 | Hypothesis testing and Confidence intervals comparison with standard | lecture notes | Öğretim Yöntemleri: Anlatım |
| 5 | Hypothesis testing and comparison with other situation | lecture notes | Öğretim Yöntemleri: Anlatım |
| 6 | Hypothesis testing and multiple comparison | lecture notes | Öğretim Yöntemleri: Anlatım |
| 7 | Variance analysis | lecture notes | Öğretim Yöntemleri: Anlatım |
| 8 | Mid-Term Exam | lecture notes | Ölçme Yöntemleri: Yazılı Sınav |
| 9 | Full factorial experimental design | lecture notes | Öğretim Yöntemleri: Anlatım |
| 10 | General Factorial experimental design | lecture notes | Öğretim Yöntemleri: Anlatım |
| 11 | Partial Factorial experimental design | lecture notes | Öğretim Yöntemleri: Anlatım |
| 12 | Adding and blocking central points in designs | lecture notes | Öğretim Yöntemleri: Anlatım |
| 13 | regression | lecture notes | Öğretim Yöntemleri: Anlatım |
| 14 | Response Surfaces Method | lecture notes | Öğretim Yöntemleri: Anlatım |
| 15 | Taguchi designs | lecture notes | Öğretim Yöntemleri: Anlatım |
| 16 | Term Exams | lecture notes | Ölçme Yöntemleri: Yazılı Sınav |
| 17 | Term Exams | lecture notes | 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 | 2 | 28 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 0 | 0 | 0 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 10 | 10 |
| Final Exam | 1 | 20 | 20 |
| Total Workload (Hour) | 100 | ||
| Total Workload / 25 (h) | 4,00 | ||
| ECTS | 4 ECTS | ||